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IEEE Journal of Selected Areas in Communications, Volume 39
Volume 39, Number 1, January 2021
- Geoffrey Ye Li, Walid Saad, Ayfer Özgür, Peter Kairouz, Zhijin Qin, Jakob Hoydis, Zhu Han, Deniz Gündüz, Jaafar M. H. Elmirghani:
Series Editorial: Inauguration Issue of the Series on Machine Learning in Communications and Networks. 1-3 - Wei Chen, Bowen Zhang, Shi Jin, Bo Ai, Zhangdui Zhong:
Solving Sparse Linear Inverse Problems in Communication Systems: A Deep Learning Approach With Adaptive Depth. 4-17 - Eren Balevi, Akash S. Doshi, Ajil Jalal, Alexandros G. Dimakis, Jeffrey G. Andrews:
High Dimensional Channel Estimation Using Deep Generative Networks. 18-30 - Hui-Ming Wang, Jia-Cheng Jiang, Yu-Ning Wang:
Model Refinement Learning and an Example on Channel Estimation With Universal Noise Model. 31-46 - Li Sun, Yuwei Wang, A. Lee Swindlehurst, Xiao Tang:
Generative-Adversarial-Network Enabled Signal Detection for Communication Systems With Unknown Channel Models. 47-60 - Yuxin Lu, Peng Cheng, Zhuo Chen, Wai Ho Mow, Yonghui Li, Branka Vucetic:
Deep Multi-Task Learning for Cooperative NOMA: System Design and Principles. 61-78 - Avi Caciularu, Nir Raviv, Tomer Raviv, Jacob Goldberger, Yair Be'ery:
perm2vec: Attentive Graph Permutation Selection for Decoding of Error Correction Codes. 79-88 - Mikolaj Jankowski, Deniz Gündüz, Krystian Mikolajczyk:
Wireless Image Retrieval at the Edge. 89-100 - Yifei Shen, Yuanming Shi, Jun Zhang, Khaled B. Letaief:
Graph Neural Networks for Scalable Radio Resource Management: Architecture Design and Theoretical Analysis. 101-115 - Yanan Liu, Xianbin Wang, Jie Mei, Gary Boudreau, Hatem Abou-zeid, Akram Bin Sediq:
Situation-Aware Resource Allocation for Multi-Dimensional Intelligent Multiple Access: A Proactive Deep Learning Framework. 116-130 - Hai-xia Peng, Xuemin Shen:
Multi-Agent Reinforcement Learning Based Resource Management in MEC- and UAV-Assisted Vehicular Networks. 131-141 - Huiqiang Xie, Zhijin Qin:
A Lite Distributed Semantic Communication System for Internet of Things. 142-153 - Xiaofei Wang, Ruibin Li, Chenyang Wang, Xiuhua Li, Tarik Taleb, Victor C. M. Leung:
Attention-Weighted Federated Deep Reinforcement Learning for Device-to-Device Assisted Heterogeneous Collaborative Edge Caching. 154-169 - Dongzhu Liu, Osvaldo Simeone:
Privacy for Free: Wireless Federated Learning via Uncoded Transmission With Adaptive Power Control. 170-185 - Ningning Ding, Zhixuan Fang, Jianwei Huang:
Optimal Contract Design for Efficient Federated Learning With Multi-Dimensional Private Information. 186-200 - Hung T. Nguyen, Vikash Sehwag, Seyyedali Hosseinalipour, Christopher G. Brinton, Mung Chiang, H. Vincent Poor:
Fast-Convergent Federated Learning. 201-218 - Jinke Ren, Guanding Yu, Guangyao Ding:
Accelerating DNN Training in Wireless Federated Edge Learning Systems. 219-232 - Saurav Prakash, Sagar Dhakal, Mustafa Riza Akdeniz, Yair Yona, Shilpa Talwar, Salman Avestimehr, Nageen Himayat:
Coded Computing for Low-Latency Federated Learning Over Wireless Edge Networks. 233-250 - Lixing Chen, Jie Xu:
Seek Common While Shelving Differences: Orchestrating Deep Neural Networks for Edge Service Provisioning. 251-264 - Soheil Abbasloo, Chen-Yu Yen, H. Jonathan Chao:
Wanna Make Your TCP Scheme Great for Cellular Networks? Let Machines Do It for You! 265-279 - Christian Häger, Henry D. Pfister:
Physics-Based Deep Learning for Fiber-Optic Communication Systems. 280-294
Volume 39, Number 2, February 2021
- Joel J. P. C. Rodrigues, Honggang Wang, Simon James Fong, Nada Y. Philip, Jia Chen:
Guest Editorial: Internet of Things for In-Home Health Monitoring. 295-299 - Nada Y. Philip, Joel J. P. C. Rodrigues, Honggang Wang, Simon James Fong, Jia Chen:
Internet of Things for In-Home Health Monitoring Systems: Current Advances, Challenges and Future Directions. 300-310 - Guofa Cai, Yi Fang, Pingping Chen, Guojun Han, Guoen Cai, Yang Song:
Design of an MISO-SWIPT-Aided Code-Index Modulated Multi-Carrier M-DCSK System for e-Health IoT. 311-324 - Xuewan Zhang, Liuqing Yang, Zhiguo Ding, Jian Song, Yunkai Zhai, Di Zhang:
Sparse Vector Coding-Based Multi-Carrier NOMA for In-Home Health Networks. 325-337 - Sudip Misra, Arijit Roy, Chandana Roy, Anandarup Mukherjee:
DROPS: Dynamic Radio Protocol Selection for Energy-Constrained Wearable IoT Healthcare. 338-345 - Bakkiam David Deebak, Fadi Al-Turjman:
Smart Mutual Authentication Protocol for Cloud Based Medical Healthcare Systems Using Internet of Medical Things. 346-360 - Tejasvi Alladi, Vinay Chamola, Naren Naren:
HARCI: A Two-Way Authentication Protocol for Three Entity Healthcare IoT Networks. 361-369 - Di Lu, Ruidong Han, Yulong Shen, Xuewen Dong, Jianfeng Ma, Xiaojiang Du, Mohsen Guizani:
xTSeH: A Trusted Platform Module Sharing Scheme Towards Smart IoT-eHealth Devices. 370-383 - Yudi Zhang, Debiao He, Mohammad S. Obaidat, Pandi Vijayakumar, Kuei-Fang Hsiao:
Efficient Identity-Based Distributed Decryption Scheme for Electronic Personal Health Record Sharing System. 384-395 - Zhenyu Zhou, Zhao Wang, Haijun Yu, Haijun Liao, Shahid Mumtaz, Luís M. L. Oliveira, Valerio Frascolla:
Learning-Based URLLC-Aware Task Offloading for Internet of Health Things. 396-410 - Long Zhang, Bin Cao, Yun Li, Mugen Peng, Gang Feng:
A Multi-Stage Stochastic Programming-Based Offloading Policy for Fog Enabled IoT-eHealth. 411-425 - Liang Zhou, Dan Wu, Xin Wei, Jianxin Chen:
Cross-Modal Stream Scheduling for eHealth. 426-437 - Luis Sanabria-Russo, Jordi Serra, David Pubill, Christos V. Verikoukis:
CURATE: On-Demand Orchestration of Services for Health Emergencies Prediction and Mitigation. 438-445 - Gianluca Aloi, Giancarlo Fortino, Raffaele Gravina, Pasquale Pace, Claudio Savaglio:
Simulation-Driven Platform for Edge-Based AAL Systems. 446-462 - Zhaolong Ning, Peiran Dong, Xiaojie Wang, Xiping Hu, Lei Guo, Bin Hu, Yi Guo, Tie Qiu, Ricky Yu-Kwong Kwok:
Mobile Edge Computing Enabled 5G Health Monitoring for Internet of Medical Things: A Decentralized Game Theoretic Approach. 463-478 - Dapeng Wu, Xiaojuan Han, Zhigang Yang, Ruyan Wang:
Exploiting Transfer Learning for Emotion Recognition Under Cloud-Edge-Client Collaborations. 479-490 - Gagangeet Singh Aujla, Anish Jindal:
A Decoupled Blockchain Approach for Edge-Envisioned IoT-Based Healthcare Monitoring. 491-499 - Chao Yang, Xuyu Wang, Shiwen Mao:
Respiration Monitoring With RFID in Driving Environments. 500-512 - Shigeng Zhang, Xuan Liu, Yangyang Liu, Bo Ding, Song Guo, Jianxin Wang:
Accurate Respiration Monitoring for Mobile Users With Commercial RFID Devices. 513-525 - Osman Salem, Khalid Alsubhi, Ahmed Mehaoua, Raouf Boutaba:
Markov Models for Anomaly Detection in Wireless Body Area Networks for Secure Health Monitoring. 526-540 - Carlos M. J. M. Dourado Júnior, Suane Pires P. da Silva, Raul Victor Medeiros da Nóbrega, Pedro Pedrosa Rebouças Filho, Khan Muhammad, Victor Hugo C. de Albuquerque:
An Open IoHT-Based Deep Learning Framework for Online Medical Image Recognition. 541-548 - Weiwei Yuan, Guangjie Han, Donghai Guan:
Learning From Mislabeled Training Data Through Ambiguous Learning for In-Home Health Monitoring. 549-561 - Octavian Postolache, D. Jude Hemanth, Ricardo Alexandre, Deepak Gupta, Oana Geman, Ashish Khanna:
Remote Monitoring of Physical Rehabilitation of Stroke Patients Using IoT and Virtual Reality. 562-573 - Chao Tong, Baoyu Liang, Qiang Su, Mengbo Yu, Jiexuan Hu, Ali Kashif Bashir, Zhigao Zheng:
Pulmonary Nodule Classification Based on Heterogeneous Features Learning. 574-581 - Andrea Sciarrone, Igor Bisio, Chiara Garibotto, Fabio Lavagetto, Gerhard H. Staude, Andreas Knopp:
Leveraging IoT Wearable Technology Towards Early Diagnosis of Neurological Diseases. 582-592 - Mohsin Raza, Muhammad Awais, Nishant Singh, Muhammad Imran, Sajjad Hussain:
Intelligent IoT Framework for Indoor Healthcare Monitoring of Parkinson's Disease Patient. 593-602 - Ghulam Muhammad, M. Shamim Hossain, Neeraj Kumar:
EEG-Based Pathology Detection for Home Health Monitoring. 603-610
Volume 39, Number 3, March 2021
- Xiaoming Chen, Derrick Wing Kwan Ng, Wei Yu, Erik G. Larsson, Naofal Al-Dhahir, Robert Schober:
Guest Editorial Massive Access for 5G and Beyond - Part I. 611-614 - Xiaoming Chen, Derrick Wing Kwan Ng, Wei Yu, Erik G. Larsson, Naofal Al-Dhahir, Robert Schober:
Massive Access for 5G and Beyond. 615-637 - Yi Zhong, Guoqiang Mao, Xiaohu Ge, Fu-Chun Zheng:
Spatio-temporal Modeling for Massive and Sporadic Access. 638-651 - Xi Zhang, Jingqing Wang, H. Vincent Poor:
Statistical Delay and Error-Rate Bounded QoS Provisioning for mURLLC Over 6G CF M-MIMO Mobile Networks in the Finite Blocklength Regime. 652-667 - Nan Jiang, Yansha Deng, Arumugam Nallanathan, Jinhong Yuan:
A Decoupled Learning Strategy for Massive Access Optimization in Cellular IoT Networks. 668-685 - Lin Bai, Jiexun Liu, Quan Yu, Jinho Choi, Wei Zhang:
A Collision Resolution Protocol for Random Access in Massive MIMO. 686-699 - Jie Liu, Mamta Agiwal, Miao Qu, Hu Jin:
Online Control of Preamble Groups With Priority in Massive IoT Networks. 700-713 - Jihong Yu, Pengfei Zhang, Lin Chen, Jiangchuan Liu, Rongrong Zhang, Kehao Wang, Jianping An:
Stabilizing Frame Slotted Aloha-Based IoT Systems: A Geometric Ergodicity Perspective. 714-725 - Yiyao Cheng, Lei Liu, Li Ping:
Orthogonal AMP for Massive Access in Channels With Spatial and Temporal Correlations. 726-740 - Yan Liu, Yansha Deng, Maged Elkashlan, Arumugam Nallanathan, George K. Karagiannidis:
Analyzing Grant-Free Access for URLLC Service. 741-755 - Malong Ke, Zhen Gao, Yongpeng Wu, Xiqi Gao, Kai-Kit Wong:
Massive Access in Cell-Free Massive MIMO-Based Internet of Things: Cloud Computing and Edge Computing Paradigms. 756-772 - Ameha Tsegaye Abebe, Chung Gu Kang:
MIMO-Based Reliable Grant-Free Massive Access With QoS Differentiation for 5G and Beyond. 773-787 - Ying Cui, Shuaichao Li, Wanqing Zhang:
Jointly Sparse Signal Recovery and Support Recovery via Deep Learning With Applications in MIMO-Based Grant-Free Random Access. 788-803 - Xiaoyan Kuai, Xiaojun Yuan, Wenjing Yan, Ying-Chang Liang:
Coexistence of Human-Type and Machine-Type Communications in Uplink Massive MIMO. 804-819 - Volodymyr Shyianov, Faouzi Bellili, Amine Mezghani, Ekram Hossain:
Massive Unsourced Random Access Based on Uncoupled Compressive Sensing: Another Blessing of Massive MIMO. 820-834 - Minjie Tang, Songfu Cai, Vincent K. N. Lau:
Remote State Estimation With Asynchronous Mission-Critical IoT Sensors. 835-850 - Baoquan Yu, Yueming Cai, Dan Wu:
Joint Access Control and Resource Allocation for Short-Packet-Based mMTC in Status Update Systems. 851-865 - Ghaith Hattab, Petar Popovski, Danijela Cabric:
Spectrum Sharing for Massive Access in Ultra-Narrowband IoT Systems. 866-880 - Bo Qian, Haibo Zhou, Ting Ma, Kai Yu, Quan Yuan, Xuemin Shen:
Multi-Operator Spectrum Sharing for Massive IoT Coexisting in 5G/B5G Wireless Networks. 881-895
Volume 39, Number 4, April 2021
- Xiaoming Chen, Derrick Wing Kwan Ng, Wei Yu, Erik G. Larsson, Naofal Al-Dhahir, Robert Schober:
Guest Editorial Massive Access for 5G and Beyond - Part II. 899-902 - Muye Li, Shun Zhang, Feifei Gao, Pingzhi Fan, Octavia A. Dobre:
A New Path Division Multiple Access for the Massive MIMO-OTFS Networks. 903-918 - Zhipeng Lin, Tiejun Lv, Wei Ni, J. Andrew Zhang, Ren Ping Liu:
Nested Hybrid Cylindrical Array Design and DoA Estimation for Massive IoT Networks. 919-933 - Xiangming Meng, Lei Zhang, Chao Wang, Lei Wang, Yiqun Wu, Yan Chen, Wenjin Wang:
Advanced NOMA Receivers From a Unified Variational Inference Perspective. 934-948 - Fangqing Tan, Peiran Wu, Yik-Chung Wu, Minghua Xia:
Energy-Efficient Non-Orthogonal Multicast and Unicast Transmission of Cell-Free Massive MIMO Systems With SWIPT. 949-968 - Weichao Chen, Shengjie Zhao, Rongqing Zhang, Liuqing Yang:
Generalized User Grouping in NOMA Based on Overlapping Coalition Formation Game. 969-981 - Heasung Kim, Taehyun Cho, Jungwoo Lee, Wonjae Shin, H. Vincent Poor:
Optimized Shallow Neural Networks for Sum-Rate Maximization in Energy Harvesting Downlink Multiuser NOMA Systems. 982-997 - Zongze Li, Minghua Xia, Miaowen Wen, Yik-Chung Wu:
Massive Access in Secure NOMA Under Imperfect CSI: Security Guaranteed Sum-Rate Maximization With First-Order Algorithm. 998-1014 - Binghong Liu, Chenxi Liu, Mugen Peng:
Resource Allocation for Energy-Efficient MEC in NOMA-Enabled Massive IoT Networks. 1015-1027 - Yasser F. Al-Eryani, Mohamed Akrout, Ekram Hossain:
Multiple Access in Cell-Free Networks: Outage Performance, Dynamic Clustering, and Deep Reinforcement Learning-Based Design. 1028-1042 - Mustafa A. Kishk, Mohamed-Slim Alouini:
Exploiting Randomly Located Blockages for Large-Scale Deployment of Intelligent Surfaces. 1043-1056 - Xiao Liu, Yuanwei Liu, Yue Chen, H. Vincent Poor:
RIS Enhanced Massive Non-Orthogonal Multiple Access Networks: Deployment and Passive Beamforming Design. 1057-1071 - Placido Mursia, Vincenzo Sciancalepore, Andres Garcia-Saavedra, Laura Cottatellucci, Xavier Pérez Costa, David Gesbert:
RISMA: Reconfigurable Intelligent Surfaces Enabling Beamforming for IoT Massive Access. 1072-1085 - Shuaifei Chen, Jiayi Zhang, Emil Björnson, Jing Zhang, Bo Ai:
Structured Massive Access for Scalable Cell-Free Massive MIMO Systems. 1086-1100 - Sami Khairy, Prasanna Balaprakash, Lin X. Cai, Yu Cheng:
Constrained Deep Reinforcement Learning for Energy Sustainable Multi-UAV Based Random Access IoT Networks With NOMA. 1101-1115 - Chengxiao Liu, Wei Feng, Yunfei Chen, Cheng-Xiang Wang, Ning Ge:
Cell-Free Satellite-UAV Networks for 6G Wide-Area Internet of Things. 1116-1131 - Zhuo Sun, Zhiqiang Wei, Nan Yang, Xiangyun Zhou:
Two-Tier Communication for UAV-Enabled Massive IoT Systems: Performance Analysis and Joint Design of Trajectory and Resource Allocation. 1132-1146 - Ziye Jia, Min Sheng, Jiandong Li, Di Zhou, Zhu Han:
Joint HAP Access and LEO Satellite Backhaul in 6G: Matching Game-Based Approaches. 1147-1159 - Wen-Kang Jia, Yaw-Chung Chen, Xufang Wang:
UMUcast: A Framework for Massive Small-Data Delivering in Industrial Internet of Things. 1160-1176
Volume 39, Number 5, May 2021
- Roy D. Yates, Yin Sun, D. Richard Brown, Sanjit K. Kaul, Eytan H. Modiano, Sennur Ulukus:
Guest Editorial Age of Information. 1179-1182 - Roy D. Yates, Yin Sun, D. Richard Brown, Sanjit K. Kaul, Eytan H. Modiano, Sennur Ulukus:
Age of Information: An Introduction and Survey. 1183-1210 - Meng Zhang, Ahmed Arafa, Jianwei Huang, H. Vincent Poor:
Pricing Fresh Data. 1211-1225 - Meng Zhang, Ahmed Arafa, Ermin Wei, Randall Berry:
Optimal and Quantized Mechanism Design for Fresh Data Acquisition. 1226-1239 - Kumar Saurav, Rahul Vaze:
Game of Ages in a Distributed Network. 1240-1249 - Aidin Ferdowsi, Mohamed A. Abd-Elmagid, Walid Saad, Harpreet S. Dhillon:
Neural Combinatorial Deep Reinforcement Learning for Age-Optimal Joint Trajectory and Scheduling Design in UAV-Assisted Networks. 1250-1265 - Bin Li, Jia Liu:
Achieving Information Freshness With Selfish and Rational Users in Mobile Crowd-Learning. 1266-1276 - Hongtao Lv, Zhenzhe Zheng, Fan Wu, Guihai Chen:
Strategy-Proof Online Mechanisms for Weighted AoI Minimization in Edge Computing. 1277-1292 - Yoshiaki Inoue, Tomotaka Kimura:
Age-Effective Information Updating Over Intermittently Connected MANETs. 1293-1308 - Shaoling Hu, Wei Chen:
Monitoring Real-Time Status of Analog Sources: A Cross-Layer Approach. 1309-1324 - Nived Rajaraman, Rahul Vaze, Goonwanth Reddy:
Not Just Age but Age and Quality of Information. 1325-1338 - Daojing Guo, I-Hong Hou:
Scheduling Real-Time Information-Update Flows for the Optimal Confidence in Estimation. 1339-1351 - Antzela Kosta, Nikolaos Pappas, Anthony Ephremides, Vangelis Angelakis:
The Age of Information in a Discrete Time Queue: Stationary Distribution and Non-Linear Age Mean Analysis. 1352-1364 - Jaya Prakash Champati, Ramana R. Avula, Tobias J. Oechtering, James Gross:
Minimum Achievable Peak Age of Information Under Service Preemptions and Request Delay. 1365-1379 - Yifan Gu, Qian Wang, He Chen, Yonghui Li, Branka Vucetic:
Optimizing Information Freshness in Two-Hop Status Update Systems Under a Resource Constraint. 1380-1392 - Haina Zheng, Ke Xiong, Pingyi Fan, Zhangdui Zhong, Khaled Ben Letaief:
Age of Information-Based Wireless Powered Communication Networks With Selfish Charging Nodes. 1393-1411 - Elif Tugçe Ceran, Deniz Gündüz, András György:
A Reinforcement Learning Approach to Age of Information in Multi-User Networks With HARQ. 1412-1426 - Haoyuan Pan, Soung Chang Liew, Jiaxin Liang, Victor C. M. Leung, Jianqiang Li:
Coding of Multi-Source Information Streams With Age of Information Requirements. 1427-1440 - Subham Saha, Vineeth Bala Sukumaran, Chandra R. Murthy:
On the Minimum Average Age of Information in IRSA for Grant-Free mMTC. 1441-1455 - Orhan Tahir Yavascan, Elif Uysal:
Analysis of Slotted ALOHA With an Age Threshold. 1456-1470 - Rajshekhar Vishweshwar Bhat, Rahul Vaze, Mehul Motani:
Minimization of Age of Information in Fading Multiple Access Channels. 1471-1484 - Jingzhou Sun, Lehan Wang, Zhiyuan Jiang, Sheng Zhou, Zhisheng Niu:
Age-Optimal Scheduling for Heterogeneous Traffic With Timely Throughput Constraints. 1485-1498
Volume 39, Number 6, June 2021
- Ian F. Akyildiz, Tetsuya Kawanishi, Wolfgang H. Gerstacker, Xiaodai Dong, Aydin Babakhani:
Guest Editorial Special Issue on "THz Communications and Networking". 1499-1505 - Filip Lemic, Sergi Abadal, Wouter Tavernier, Pieter Stroobant, Didier Colle, Eduard Alarcón, Johann Márquez-Barja, Jeroen Famaey:
Survey on Terahertz Nanocommunication and Networking: A Top-Down Perspective. 1506-1543 - Xi Zhang, Jingqing Wang, H. Vincent Poor:
Optimal Resource Allocations for Statistical QoS Provisioning to Support mURLLC Over FBC-EH-Based 6G THz Wireless Nano-Networks. 1544-1560 - Shihao Ju, Yunchou Xing, Ojas Kanhere, Theodore S. Rappaport:
Millimeter Wave and Sub-Terahertz Spatial Statistical Channel Model for an Indoor Office Building. 1561-1575 - Jue Wang, Cheng-Xiang Wang, Jie Huang, Haiming Wang, Xiqi Gao:
A General 3D Space-Time-Frequency Non-Stationary THz Channel Model for 6G Ultra-Massive MIMO Wireless Communication Systems. 1576-1589 - Johannes M. Eckhardt, Vitaly Petrov, Dmitri Moltchanov, Yevgeni Koucheryavy, Thomas Kürner:
Channel Measurements and Modeling for Low-Terahertz Band Vehicular Communications. 1590-1603 - Konstantinos Dovelos, Michail Matthaiou, Hien Quoc Ngo, Boris Bellalta:
Channel Estimation and Hybrid Combining for Wideband Terahertz Massive MIMO Systems. 1604-1620 - Ziyuan Sha, Zhaocheng Wang:
Channel Estimation and Equalization for Terahertz Receiver With RF Impairments. 1621-1635 - Nizar Bouhlel, Majed Saad, Faouzi Bader:
Sub-Terahertz Wireless System Using Dual-Polarized Generalized Spatial Modulation With RF Impairments. 1636-1650 - Tianqi Mao, Zhaocheng Wang:
Terahertz Wireless Communications With Flexible Index Modulation Aided Pilot Design. 1651-1662 - Chongwen Huang, Zhaohui Yang, George C. Alexandropoulos, Kai Xiong, Li Wei, Chau Yuen, Zhaoyang Zhang, Mérouane Debbah:
Multi-Hop RIS-Empowered Terahertz Communications: A DRL-Based Hybrid Beamforming Design. 1663-1677 - Bangzhao Zhai, Aimin Tang, Chen Peng, Xudong Wang:
SS-OFDMA: Spatial-Spread Orthogonal Frequency Division Multiple Access for Terahertz Networks. 1678-1692 - Jingbo Tan, Linglong Dai:
Wideband Beam Tracking in THz Massive MIMO Systems. 1693-1710 - Syed Hashim Ali Shah, Sundar Aditya, Sundeep Rangan:
Power-Efficient Beam Tracking During Connected Mode DRX in mmWave and Sub-THz Systems. 1711-1724 - Feifei Gao, Bolei Wang, Chengwen Xing, Jianping An, Geoffrey Ye Li:
Wideband Beamforming for Hybrid Massive MIMO Terahertz Communications. 1725-1740 - Anwen Liao, Zhen Gao, Dongming Wang, Hua Wang, Hao Yin, Derrick Wing Kwan Ng, Mohamed-Slim Alouini:
Terahertz Ultra-Massive MIMO-Based Aeronautical Communications in Space-Air-Ground Integrated Networks. 1741-1767 - Akhtar Saeed, Özgür Gürbüz, Ahmet Ozan Bicen, Mustafa Alper Akkas:
Variable-Bandwidth Model and Capacity Analysis for Aerial Communications in the Terahertz Band. 1768-1784 - Changhwan Yi, Dongkyo Kim, Sourabh Solanki, Jae-Hong Kwon, Moonil Kim, Sanggeun Jeon, Young-Chai Ko, Inkyu Lee:
Design and Performance Analysis of THz Wireless Communication Systems for Chip-to-Chip and Personal Area Networks Applications. 1785-1796 - Salman Behboudi Amlashi, Mohsen Khalily, Vikrant Singh, Pei Xiao, David J. Carey, Rahim Tafazolli:
Surface Electromagnetic Performance Analysis of a Graphene-Based Terahertz Sensor Using a Novel Spectroscopy Technique. 1797-1816 - Akram Shafie, Nan Yang, Salman Durrani, Xiangyun Zhou, Chong Han, Markku J. Juntti:
Coverage Analysis for 3D Terahertz Communication Systems. 1817-1832 - Mustafa F. Ozkoc, Athanasios Koutsaftis, Rajeev Kumar, Pei Liu, Shivendra S. Panwar:
The Impact of Multi-Connectivity and Handover Constraints on Millimeter Wave and Terahertz Cellular Networks. 1833-1853
Volume 39, Number 7, July 2021
- Geoffrey Ye Li, Walid Saad, Ayfer Özgür, Peter Kairouz, Zhijin Qin, Jakob Hoydis, Zhu Han, Deniz Gündüz, Jaafar Mohamed Hashim Elmirghani:
Series Editorial: The Second Issue of the Series on Machine Learning in Communications and Networks. 1855-1857 - Lorenzo Maggi, Alvaro Valcarce, Jakob Hoydis:
Bayesian Optimization for Radio Resource Management: Open Loop Power Control. 1858-1871 - Jiajia Guo, Chao-Kai Wen, Shi Jin:
Deep Learning-Based CSI Feedback for Beamforming in Single- and Multi-Cell Massive MIMO Systems. 1872-1884 - Yuwen Yang, Feifei Gao, Chengwen Xing, Jianping An, Ahmed Alkhateeb:
Deep Multimodal Learning: Merging Sensory Data for Massive MIMO Channel Prediction. 1885-1898 - Xiaodan Shao, Xiaoming Chen, Yiyang Qiang, Caijun Zhong, Zhaoyang Zhang:
Feature-Aided Adaptive-Tuning Deep Learning for Massive Device Detection. 1899-1914 - Chi Wu, Xinping Yi, Yiming Zhu, Wenjin Wang, Li You, Xiqi Gao:
Channel Prediction in High-Mobility Massive MIMO: From Spatio-Temporal Autoregression to Deep Learning. 1915-1930 - Tao Jiang, Hei Victor Cheng, Wei Yu:
Learning to Reflect and to Beamform for Intelligent Reflecting Surface With Implicit Channel Estimation. 1931-1945 - Zhenwen Ren, Mithun Mukherjee, Mehdi Bennis, Jaime Lloret:
Multikernel Clustering via Non-Negative Matrix Factorization Tailored Graph Tensor Over Distributed Networks. 1946-1956 - Andreas Buchberger, Christian Häger, Henry D. Pfister, Laurent Schmalen, Alexandre Graell i Amat:
Pruning and Quantizing Neural Belief Propagation Decoders. 1957-1966 - Simeng Zheng, Yi Liu, Paul H. Siegel:
PR-NN: RNN-Based Detection for Coded Partial-Response Channels. 1967-1982 - Jincheng Dai, Kailin Tan, Zhongwei Si, Kai Niu, Mingzhe Chen, H. Vincent Poor, Shuguang Cui:
Learning to Decode Protograph LDPC Codes. 1983-1999 - Yashas Malur Saidutta, Afshin Abdi, Faramarz Fekri:
Joint Source-Channel Coding Over Additive Noise Analog Channels Using Mixture of Variational Autoencoders. 2000-2013 - Zhouyou Gu, Changyang She, Wibowo Hardjawana, Simon Lumb, David McKechnie, Todd Essery, Branka Vucetic:
Knowledge-Assisted Deep Reinforcement Learning in 5G Scheduler Design: From Theoretical Framework to Implementation. 2014-2028 - Jiajia Liu, Zhenjiang Shi, Shangwei Zhang, Nei Kato:
Distributed Q-Learning Aided Uplink Grant-Free NOMA for Massive Machine-Type Communications. 2029-2041 - Xiao Liu, Yuanwei Liu, Yue Chen:
Machine Learning Empowered Trajectory and Passive Beamforming Design in UAV-RIS Wireless Networks. 2042-2055 - Trung V. Phan, Tri Gia Nguyen, Thomas Bauschert:
DeepMatch: Fine-Grained Traffic Flow Measurement in SDN With Deep Dueling Neural Networks. 2056-2075 - Wen Wu, Nan Chen, Conghao Zhou, Mushu Li, Xuemin Shen, Weihua Zhuang, Xu Li:
Dynamic RAN Slicing for Service-Oriented Vehicular Networks via Constrained Learning. 2076-2089 - Ningning Ding, Zhixuan Fang, Lingjie Duan, Jianwei Huang:
Optimal Incentive and Load Design for Distributed Coded Machine Learning. 2090-2104 - Myung Cho, Lifeng Lai, Weiyu Xu:
Distributed Dual Coordinate Ascent in General Tree Networks and Communication Network Effect on Synchronous Machine Learning. 2105-2119 - Jaeyoung Song, Marios Kountouris:
Wireless Distributed Edge Learning: How Many Edge Devices Do We Need? 2120-2134 - Qi Chen, Wei Wang, Wei Chen, F. Richard Yu, Zhaoyang Zhang:
Cache-Enabled Multicast Content Pushing With Structured Deep Learning. 2135-2149 - Sihui Zheng, Cong Shen, Xiang Chen:
Design and Analysis of Uplink and Downlink Communications for Federated Learning. 2150-2167 - Jinhyun So, Basak Güler, Amir Salman Avestimehr:
Byzantine-Resilient Secure Federated Learning. 2168-2181 - Jingzhi Hu, Hongliang Zhang, Kaigui Bian, Marco Di Renzo, Zhu Han, Lingyang Song:
MetaSensing: Intelligent Metasurface Assisted RF 3D Sensing by Deep Reinforcement Learning. 2182-2197 - Sebastian Troia, Federico Sapienza, Leonardo Varé, Guido Maier:
On Deep Reinforcement Learning for Traffic Engineering in SD-WAN. 2198-2212 - Huandong Wang, Yong Li, Depeng Jin, Zhu Han:
Attentional Markov Model for Human Mobility Prediction. 2213-2225 - Shukai Fan, Yongzhi Wu, Chong Han, Xudong Wang:
SIABR: A Structured Intra-Attention Bidirectional Recurrent Deep Learning Method for Ultra-Accurate Terahertz Indoor Localization. 2226-2240 - Rami Akrem Addad, Diego Leonel Cadette Dutra, Tarik Taleb, Hannu Flinck:
Toward Using Reinforcement Learning for Trigger Selection in Network Slice Mobility. 2241-2253 - Zhida Li, Ana Laura Gonzalez Rios, Ljiljana Trajkovic:
Machine Learning for Detecting Anomalies and Intrusions in Communication Networks. 2254-2264
Volume 39, Number 8, August 2021
- Geoffrey Ye Li, Walid Saad, Ayfer Özgür, Peter Kairouz, Zhijin Qin, Jakob Hoydis, Zhu Han, Deniz Gündüz, Jaafar M. H. Elmirghani:
Series Editorial: The Third Issue of the Series on Machine Learning in Communications and Networks. 2267-2270 - Jinghe Wang, Wankai Tang, Yu Han, Shi Jin, Xiao Li, Chao-Kai Wen, Qiang Cheng, Tie Jun Cui:
Interplay Between RIS and AI in Wireless Communications: Fundamentals, Architectures, Applications, and Open Research Problems. 2271-2288 - Qiyu Hu, Yanzhen Liu, Yunlong Cai, Guanding Yu, Zhi Ding:
Joint Deep Reinforcement Learning and Unfolding: Beam Selection and Precoding for mmWave Multiuser MIMO With Lens Arrays. 2289-2304 - Yu Wang, Guan Gui, Haris Gacanin, Tomoaki Ohtsuki, Octavia A. Dobre, H. Vincent Poor:
An Efficient Specific Emitter Identification Method Based on Complex-Valued Neural Networks and Network Compression. 2305-2317 - Mathieu Goutay, Fayçal Ait Aoudia, Jakob Hoydis, Jean-Marie Gorce:
Machine Learning for MU-MIMO Receive Processing in OFDM Systems. 2318-2332 - Pedram Kheirkhah Sangdeh, Huacheng Zeng:
DeepMux: Deep-Learning-Based Channel Sounding and Resource Allocation for IEEE 802.11ax. 2333-2346 - Foad Sohrabi, Zhilin Chen, Wei Yu:
Deep Active Learning Approach to Adaptive Beamforming for mmWave Initial Alignment. 2347-2360 - Paul Ferrand, Alexis Decurninge, Luis Garcia Ordóñez, Maxime Guillaud:
Triplet-Based Wireless Channel Charting: Architecture and Experiments. 2361-2373 - Nilesh Kumar Jha, Vincent K. N. Lau:
Online Downlink Multi-User Channel Estimation for mmWave Systems Using Bayesian Neural Network. 2374-2387 - Xisuo Ma, Zhen Gao, Feifei Gao, Marco Di Renzo:
Model-Driven Deep Learning Based Channel Estimation and Feedback for Millimeter-Wave Massive Hybrid MIMO Systems. 2388-2406 - Zhongyuan Zhao, Mehmet Can Vuran, Fujuan Guo, Stephen D. Scott:
Deep-Waveform: A Learned OFDM Receiver Based on Deep Complex-Valued Convolutional Networks. 2407-2420 - Boxiao Shen, Chuan Huang, Wenjun Xu, Tingting Yang, Shuguang Cui:
Blind Channel Codes Recognition via Deep Learning. 2421-2433 - Zhenzi Weng, Zhijin Qin:
Semantic Communication Systems for Speech Transmission. 2434-2444 - Huan Zhou, Tong Wu, Haijun Zhang, Jie Wu:
Incentive-Driven Deep Reinforcement Learning for Content Caching and D2D Offloading. 2445-2460 - Wenzhong Li, Shaohua Gao, Xiang Li, Yeting Xu, Sanglu Lu:
TCP-NeuRoc: Neural Adaptive TCP Congestion Control With Online Changepoint Detection. 2461-2475 - Zhiyuan Xu, Kun Wu, Weiyi Zhang, Jian Tang, Yanzhi Wang, Guoliang Xue:
PnP-DRL: A Plug-and-Play Deep Reinforcement Learning Approach for Experience-Driven Networking. 2476-2486 - Mohammad Akbari, Mohammad Reza Abedi, Roghayeh Joda, Mohsen Pourghasemian, Nader Mokari, Melike Erol-Kantarci:
Age of Information Aware VNF Scheduling in Industrial IoT Using Deep Reinforcement Learning. 2487-2500 - Minglong Zhang, Yi Dou, Peter Han Joo Chong, Henry C. B. Chan, Boon-Chong Seet:
Fuzzy Logic-Based Resource Allocation Algorithm for V2X Communications in 5G Cellular Networks. 2501-2513 - Chong Huang, Gaojie Chen, Yu Gong, Peng Xu, Zhu Han, Jonathon A. Chambers:
Buffer-Aided Relay Selection for Cooperative Hybrid NOMA/OMA Networks With Asynchronous Deep Reinforcement Learning. 2514-2525 - Akash S. Doshi, Srinivas Yerramalli, Lorenzo Ferrari, Taesang Yoo, Jeffrey G. Andrews:
A Deep Reinforcement Learning Framework for Contention-Based Spectrum Sharing. 2526-2540 - Haozhao Wang, Zhihao Qu, Song Guo, Ningqi Wang, Ruixuan Li, Weihua Zhuang:
LOSP: Overlap Synchronization Parallel With Local Compensation for Fast Distributed Training. 2541-2557 - Haojun Huang, Cheng Zeng, Yangming Zhao, Geyong Min, Yingying Zhu, Wang Miao, Jia Hu:
Scalable Orchestration of Service Function Chains in NFV-Enabled Networks: A Federated Reinforcement Learning Approach. 2558-2571 - Laizhong Cui, Xiaoxin Su, Yipeng Zhou, Yi Pan:
Slashing Communication Traffic in Federated Learning by Transmitting Clustered Model Updates. 2572-2589 - Tze-Yang Tung, Szymon Kobus, Joan S. Pujol Roig, Deniz Gündüz:
Effective Communications: A Joint Learning and Communication Framework for Multi-Agent Reinforcement Learning Over Noisy Channels. 2590-2603 - Guanxiong Shen, Junqing Zhang, Alan Marshall, Linning Peng, Xianbin Wang:
Radio Frequency Fingerprint Identification for LoRa Using Deep Learning. 2604-2616 - Xueluan Gong, Yanjiao Chen, Qian Wang, Huayang Huang, Lingshuo Meng, Chao Shen, Qian Zhang:
Defense-Resistant Backdoor Attacks Against Deep Neural Networks in Outsourced Cloud Environment. 2617-2631 - Dongqi Han, Zhiliang Wang, Ying Zhong, Wenqi Chen, Jiahai Yang, Shuqiang Lu, Xingang Shi, Xia Yin:
Evaluating and Improving Adversarial Robustness of Machine Learning-Based Network Intrusion Detectors. 2632-2647 - Yupeng Li, Ben Liang, Ali Tizghadam:
Robust Online Learning against Malicious Manipulation and Feedback Delay With Application to Network Flow Classification. 2648-2663
Volume 39, Number 9, September 2021
- Massimo Tornatore, Elaine Wong, Zuqing Zhu, Ramon Casellas, Balagangadhar G. Bathula, Lena Wosinska:
Guest Editorial Latest Advances in Optical Networks for 5G Communications and Beyond. 2667-2671 - Balázs Vass, János Tapolcai, Zalán Heszberger, József Bíró, David Hay, Fernando A. Kuipers, Jorik Oostenbrink, Alessandro Valentini, Lajos Rónyai:
Probabilistic Shared Risk Link Groups Modeling Correlated Resource Failures Caused by Disasters. 2672-2687 - Elham Ehsani Moghaddam, Hamzeh Beyranvand, Jawad A. Salehi:
Resource Allocation in Space Division Multiplexed Elastic Optical Networks Secured With Quantum Key Distribution. 2688-2700 - Yuan Cao, Yongli Zhao, Jun Li, Rui Lin, Jie Zhang, Jiajia Chen:
Hybrid Trusted/Untrusted Relay-Based Quantum Key Distribution Over Optical Backbone Networks. 2701-2718 - Bijoy Chand Chatterjee, Abdul Wadud, Eiji Oki:
Proactive Fragmentation Management Scheme Based on Crosstalk-Avoided Batch Processing for Spectrally-Spatially Elastic Optical Networks. 2719-2733 - Nashid Shahriar, Mubeen Zulfiqar, Shihabur Rahman Chowdhury, Sepehr Taeb, Raouf Boutaba, Jeebak Mitra, Mahdi Hemmati:
Disruption Minimized Bandwidth Scaling in EON-Enabled Transport Network Slices. 2734-2747 - Yong Liu, Huaxi Gu, Fulong Yan, Nicola Calabretta:
Highly-Efficient Switch Migration for Controller Load Balancing in Elastic Optical Inter-Datacenter Networks. 2748-2761 - Chayan Bhar, Erik Agrell:
Energy- and Bandwidth-Efficient, QoS-Aware Edge Caching in Fog-Enhanced Radio Access Networks. 2762-2771 - Eftychia G. Datsika, John S. Vardakas, Kostas Ramantas, Prodromos-Vasileios Mekikis, Idelfonso Tafur Monroy, Luiz Anet Neto, Christos V. Verikoukis:
SDN-Enabled Resource Management for Converged Fi-Wi 5G Fronthaul. 2772-2788 - Gaurav Pandey, Amol Choudhary, Abhishek Dixit:
Wavelength Division Multiplexed Radio Over Fiber Links for 5G Fronthaul Networks. 2789-2803 - Josep M. Fabrega, Raul Muñoz, Laia Nadal, Carlos Manso, Michela Svaluto Moreolo, Ricard Vilalta, Ricardo Martínez, Francisco Javier Vilchez, Diego Perez Galacho, Salvador Sales, Evangelos Grivas, Jaroslaw P. Turkiewicz, Simon Rommel, Idelfonso Tafur Monroy:
Experimental Demonstration of Extended 5G Digital Fronthaul Over a Partially-Disaggregated WDM/SDM Network. 2804-2815 - Apostolos Tsakyridis, Eugenio Ruggeri, George Kalfas, Ruud M. Oldenbeuving, Paul W. L. van Dijk, Chris G. H. Roeloffzen, Yigal Leiba, Amalia N. Miliou, Nikos Pleros, Christos Vagionas:
Reconfigurable Fiber Wireless IFoF Fronthaul With 60 GHz Phased Array Antenna and Silicon Photonic ROADM for 5G mmWave C-RANs. 2816-2826 - Dinka Milovancev, Nemanja Vokic, David Löschenbrand, Thomas Zemen, Bernhard Schrenk:
Analog Coherent-Optical Mobile Fronthaul With Integrated Photonic Beamforming. 2827-2837 - Cheng-Ting Tsai, Huai-Yung Wang, Yu-Chieh Chi, Chih-Hsien Cheng, Gong-Ru Lin:
Quad-Mode VCSEL Optical Carrier for Long-Reach Ka-Band Millimeter-Wave Over Fiber Link. 2838-2848 - István Pelle, Francesco Paolucci, Balázs Sonkoly, Filippo Cugini:
Latency-Sensitive Edge/Cloud Serverless Dynamic Deployment Over Telemetry-Based Packet-Optical Network. 2849-2863 - Luis Velasco, Sima Barzegar, Diogo Gonçalo Sequeira, Alessio Ferrari, Nelson Costa, Vittorio Curri, João Pedro, Antonio Napoli, Marc Ruiz:
Autonomous and Energy Efficient Lightpath Operation Based on Digital Subcarrier Multiplexing. 2864-2877 - Xiaoliang Chen, Roberto Proietti, Che-Yu Liu, S. J. Ben Yoo:
A Multi-Task-Learning-Based Transfer Deep Reinforcement Learning Design for Autonomic Optical Networks. 2878-2889 - Mohamed Amine Arfaoui, Mohammad Dehghani Soltani, Iman Tavakkolnia, Ali Ghrayeb, Chadi M. Assi, Majid Safari, Harald Haas:
Invoking Deep Learning for Joint Estimation of Indoor LiFi User Position and Orientation. 2890-2905
Volume 39, Number 10, October 2021
- Qingqing Wu, Jie Xu, Yong Zeng, Derrick Wing Kwan Ng, Naofal Al-Dhahir, Robert Schober, A. Lee Swindlehurst:
Guest Editorial Special Issue on UAV Communications in 5G and Beyond Networks - Part I. 2907-2911 - Qingqing Wu, Jie Xu, Yong Zeng, Derrick Wing Kwan Ng, Naofal Al-Dhahir, Robert Schober, A. Lee Swindlehurst:
A Comprehensive Overview on 5G-and-Beyond Networks With UAVs: From Communications to Sensing and Intelligence. 2912-2945 - Jin-Yuan Wang, Yang Ma, Rong-Rong Lu, Jun-Bo Wang, Min Lin, Julian Cheng:
Hovering UAV-Based FSO Communications: Channel Modelling, Performance Analysis, and Parameter Optimization. 2946-2959 - Zhangfeng Ma, Bo Ai, Ruisi He, Zhangdui Zhong, Mi Yang:
A Non-Stationary Geometry-Based MIMO Channel Model for Millimeter-Wave UAV Networks. 2960-2974 - Xuesong Cai, Tomasz Izydorczyk, José Rodríguez-Piñeiro, István Zsolt Kovács, Jeroen Wigard, Fernando M. L. Tavares, Preben E. Mogensen:
Empirical Low-Altitude Air-to-Ground Spatial Channel Characterization for Cellular Networks Connectivity. 2975-2991 - Yu Liu, Cheng-Xiang Wang, Hengtai Chang, Yubei He, Ji Bian:
A Novel Non-Stationary 6G UAV Channel Model for Maritime Communications. 2992-3005 - Samer S. Hanna, Enes Krijestorac, Danijela Cabric:
UAV Swarm Position Optimization for High Capacity MIMO Backhaul. 3006-3021 - Ning Gao, Xiao Li, Shi Jin, Michail Matthaiou:
3-D Deployment of UAV Swarm for Massive MIMO Communications. 3022-3034 - Xuelin Cao, Bo Yang, Chongwen Huang, Chau Yuen, Marco Di Renzo, Dusit Niyato, Zhu Han:
Reconfigurable Intelligent Surface-Assisted Aerial-Terrestrial Communications via Multi-Task Learning. 3035-3050 - Xidong Mu, Yuanwei Liu, Li Guo, Jiaru Lin, H. Vincent Poor:
Intelligent Reflecting Surface Enhanced Multi-UAV NOMA Networks. 3051-3066 - Wee-Kiat New, Chee Yen Leow, Keivan Navaie, Yanshi Sun, Zhiguo Ding:
Interference-Aware NOMA for Cellular-Connected UAVs: Stochastic Geometry Analysis. 3067-3080 - Xiaopeng Yuan, Yulin Hu, Anke Schmeink:
Joint Design of UAV Trajectory and Directional Antenna Orientation in UAV-Enabled Wireless Power Transfer Networks. 3081-3096 - Yuan Liu, Ke Xiong, Yang Lu, Qiang Ni, Pingyi Fan, Khaled Ben Letaief:
UAV-Aided Wireless Power Transfer and Data Collection in Rician Fading. 3097-3113 - Jiakang Zheng, Jiayi Zhang, Bo Ai:
UAV Communications With WPT-Aided Cell-Free Massive MIMO Systems. 3114-3128 - Rui Han, Lin Bai, Yongqing Wen, Jianwei Liu, Jinho Choi, Wei Zhang:
UAV-Aided Backscatter Communications: Performance Analysis and Trajectory Optimization. 3129-3143 - Helin Yang, Jun Zhao, Zehui Xiong, Kwok-Yan Lam, Sumei Sun, Liang Xiao:
Privacy-Preserving Federated Learning for UAV-Enabled Networks: Learning-Based Joint Scheduling and Resource Management. 3144-3159 - Zhiyu Mou, Yu Zhang, Feifei Gao, Huan-gang Wang, Tao Zhang, Zhu Han:
Deep Reinforcement Learning Based Three-Dimensional Area Coverage With UAV Swarm. 3160-3176 - Ye Hu, Mingzhe Chen, Walid Saad, H. Vincent Poor, Shuguang Cui:
Distributed Multi-Agent Meta Learning for Trajectory Design in Wireless Drone Networks. 3177-3192 - Chenxi Zhao, Junyu Liu, Min Sheng, Wei Teng, Yang Zheng, Jiandong Li:
Multi-UAV Trajectory Planning for Energy-Efficient Content Coverage: A Decentralized Learning-Based Approach. 3193-3207 - Shuqi Chai, Vincent K. N. Lau:
Multi-UAV Trajectory and Power Optimization for Cached UAV Wireless Networks With Energy and Content Recharging-Demand Driven Deep Learning Approach. 3208-3224 - Peng Yang, Xing Xi, Kun Guo, Tony Q. S. Quek, Jingxuan Chen, Xianbin Cao:
Proactive UAV Network Slicing for URLLC and Mobile Broadband Service Multiplexing. 3225-3244
Volume 39, Number 11, November 2021
- Qingqing Wu, Jie Xu, Yong Zeng, Derrick Wing Kwan Ng, Naofal Al-Dhahir, Robert Schober, A. Lee Swindlehurst:
Guest Editorial Special Issue on UAV Communications in 5G and Beyond Networks - Part II. 3247-3251 - Minghui Liwang, Zhibin Gao, Xianbin Wang:
Let's Trade in the Future! A Futures-Enabled Fast Resource Trading Mechanism in Edge Computing-Assisted UAV Networks. 3252-3270 - Wanmei Feng, Jie Tang, Nan Zhao, Xiuyin Zhang, Xianbin Wang, Kai-Kit Wong, Jonathon A. Chambers:
Hybrid Beamforming Design and Resource Allocation for UAV-Aided Wireless-Powered Mobile Edge Computing Networks With NOMA. 3271-3286 - Yuben Qu, Haipeng Dai, Haichao Wang, Chao Dong, Fan Wu, Song Guo, Qihui Wu:
Service Provisioning for UAV-Enabled Mobile Edge Computing. 3287-3305 - Zhaolong Ning, Peiran Dong, Miaowen Wen, Xiaojie Wang, Lei Guo, Ricky Yu-Kwong Kwok, H. Vincent Poor:
5G-Enabled UAV-to-Community Offloading: Joint Trajectory Design and Task Scheduling. 3306-3320 - Shihao Yan, Stephen V. Hanly, Iain B. Collings:
Optimal Transmit Power and Flying Location for UAV Covert Wireless Communications. 3321-3333 - Wei Wang, Xinrui Li, Rui Wang, Kanapathippillai Cumanan, Wei Feng, Zhiguo Ding, Octavia A. Dobre:
Robust 3D-Trajectory and Time Switching Optimization for Dual-UAV-Enabled Secure Communications. 3334-3347 - Xiaobo Zhou, Shihao Yan, Feng Shu, Riqing Chen, Jun Li:
UAV-Enabled Covert Wireless Data Collection. 3348-3362 - Yabo Li, Haijun Zhang, Keping Long:
Joint Resource, Trajectory, and Artificial Noise Optimization in Secure Driven 3-D UAVs With NOMA and Imperfect CSI. 3363-3377 - Sooeun Song, Minsu Choi, Da-Eun Ko, Jong-Moon Chung:
Multi-UAV Trajectory Optimization Considering Collisions in FSO Communication Networks. 3378-3394 - Zhuohui Yao, Wenchi Cheng, Wei Zhang, Hailin Zhang:
Resource Allocation for 5G-UAV-Based Emergency Wireless Communications. 3395-3410 - Tan Do-Duy, Long Dinh Nguyen, Trung Q. Duong, Saeed R. Khosravirad, Holger Claussen:
Joint Optimisation of Real-Time Deployment and Resource Allocation for UAV-Aided Disaster Emergency Communications. 3411-3424 - Xi Zhang, Jingqing Wang, H. Vincent Poor:
AoI-Driven Statistical Delay and Error-Rate Bounded QoS Provisioning for mURLLC Over UAV-Multimedia 6G Mobile Networks Using FBC. 3425-3443 - Mingfeng Huang, Anfeng Liu, Neal N. Xiong, Jie Wu:
A UAV-Assisted Ubiquitous Trust Communication System in 5G and Beyond Networks. 3444-3458 - Hoang Duong Tuan, Ali Arshad Nasir, Andrey V. Savkin, H. Vincent Poor, Eryk Dutkiewicz:
MPC-Based UAV Navigation for Simultaneous Solar-Energy Harvesting and Two-Way Communications. 3459-3474 - Yanmin Wang, Wei Feng, Jue Wang, Tony Q. S. Quek:
Hybrid Satellite-UAV-Terrestrial Networks for 6G Ubiquitous Coverage: A Maritime Communications Perspective. 3475-3490 - Ting Ma, Haibo Zhou, Bo Qian, Nan Cheng, Xuemin Shen, Xiang Chen, Bo Bai:
UAV-LEO Integrated Backbone: A Ubiquitous Data Collection Approach for B5G Internet of Remote Things Networks. 3491-3505 - Yijun Guo, Changsheng You, Changchuan Yin, Rui Zhang:
UAV Trajectory and Communication Co-Design: Flexible Path Discretization and Path Compression. 3506-3523 - Xiaopeng Yuan, Yulin Hu, Deshi Li, Anke Schmeink:
Novel Optimal Trajectory Design in UAV-Assisted Networks: A Mechanical Equivalence-Based Strategy. 3524-3541 - Amr S. Matar, Xuemin Shen:
Joint Subchannel Allocation and Power Control in Licensed and Unlicensed Spectrum for Multi-Cell UAV-Cellular Network. 3542-3554 - Geng Sun, Jiahui Li, Yanheng Liu, Shuang Liang, Hui Kang:
Time and Energy Minimization Communications Based on Collaborative Beamforming for UAV Networks: A Multi-Objective Optimization Method. 3555-3572
Volume 39, Number 12, December 2021
- Mingzhe Chen, Deniz Gündüz, Kaibin Huang, Walid Saad, Mehdi Bennis, Aneta Vulgarakis Feljan, H. Vincent Poor:
Guest Editorial Special Issue on Distributed Learning Over Wireless Edge Networks - Part I. 3575-3578 - Mingzhe Chen, Deniz Gündüz, Kaibin Huang, Walid Saad, Mehdi Bennis, Aneta Vulgarakis Feljan, H. Vincent Poor:
Distributed Learning in Wireless Networks: Recent Progress and Future Challenges. 3579-3605 - Bing Luo, Xiang Li, Shiqiang Wang, Jianwei Huang, Leandros Tassiulas:
Cost-Effective Federated Learning in Mobile Edge Networks. 3606-3621 - Shuo Wan, Jiaxun Lu, Pingyi Fan, Yunfeng Shao, Chenghui Peng, Khaled B. Letaief:
Convergence Analysis and System Design for Federated Learning Over Wireless Networks. 3622-3639 - Wei Yang Bryan Lim, Jer Shyuan Ng, Zehui Xiong, Dusit Niyato, Chunyan Miao, Dong In Kim:
Dynamic Edge Association and Resource Allocation in Self-Organizing Hierarchical Federated Learning Networks. 3640-3653 - Qianpiao Ma, Yang Xu, Hongli Xu, Zhida Jiang, Liusheng Huang, He Huang:
FedSA: A Semi-Asynchronous Federated Learning Mechanism in Heterogeneous Edge Computing. 3654-3672 - Hyun-Suk Lee, Jang-Won Lee:
Adaptive Transmission Scheduling in Wireless Networks for Asynchronous Federated Learning. 3673-3687 - Weiting Zhang, Dong Yang, Wen Wu, Haixia Peng, Ning Zhang, Hongke Zhang, Xuemin Shen:
Optimizing Federated Learning in Distributed Industrial IoT: A Multi-Agent Approach. 3688-3703 - Yibo Jin, Lei Jiao, Zhuzhong Qian, Sheng Zhang, Sanglu Lu:
Budget-Aware Online Control of Edge Federated Learning on Streaming Data With Stochastic Inputs. 3704-3722 - Hong Xing, Osvaldo Simeone, Suzhi Bi:
Federated Learning Over Wireless Device-to-Device Networks: Algorithms and Convergence Analysis. 3723-3741 - Chunmei Xu, Shengheng Liu, Zhaohui Yang, Yongming Huang, Kai-Kit Wong:
Learning Rate Optimization for Federated Learning Exploiting Over-the-Air Computation. 3742-3756 - Dian Fan, Xiaojun Yuan, Ying-Jun Angela Zhang:
Temporal-Structure-Assisted Gradient Aggregation for Over-the-Air Federated Edge Learning. 3757-3771 - Lintao Li, Longwei Yang, Xin Guo, Yuanming Shi, Haiming Wang, Wei Chen, Khaled B. Letaief:
Delay Analysis of Wireless Federated Learning Based on Saddle Point Approximation and Large Deviation Theory. 3772-3789 - Meng Zhang, Ermin Wei, Randall Berry:
Faithful Edge Federated Learning: Scalability and Privacy. 3790-3804 - Peng Sun, Haoxuan Che, Zhibo Wang, Yuwei Wang, Tao Wang, Liantao Wu, Huajie Shao:
Pain-FL: Personalized Privacy-Preserving Incentive for Federated Learning. 3805-3820 - Mohamed Seif Eldin Mohamed, Wei-Ting Chang, Ravi Tandon:
Privacy Amplification for Federated Learning via User Sampling and Wireless Aggregation. 3821-3835 - Yuzhi Yang, Zhaoyang Zhang, Qianqian Yang:
Communication-Efficient Federated Learning With Binary Neural Networks. 3836-3850 - Frank Po-Chen Lin, Seyyedali Hosseinalipour, Sheikh Shams Azam, Christopher G. Brinton, Nicolò Michelusi:
Semi-Decentralized Federated Learning With Cooperative D2D Local Model Aggregations. 3851-3869 - Dong-Jun Han, Minseok Choi, Jungwuk Park, Jaekyun Moon:
FedMes: Speeding Up Federated Learning With Multiple Edge Servers. 3870-3885
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