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DySPAN 2019: Newark, NJ, USA
- 2019 IEEE International Symposium on Dynamic Spectrum Access Networks, DySPAN 2019, Newark, NJ, USA, November 11-14, 2019. IEEE 2019, ISBN 978-1-7281-2376-9
- Laxima Niure Kandel, Zhuosheng Zhang, Shucheng Yu
:
Poster: Using Commodity WiFi Devices For Object Sensing And Imaging. 1-2 - Himanshu Gupta, Md. Shaifur Rahman, Max Curran:
Shared Spectrum Allocation via Pathloss Estimation in Crowdsensed Shared Spectrum Systems. 1-5 - Michael R. Souryal, Thao T. Nguyen:
Effect of Federal Incumbent Activity on CBRS Commercial Service. 1-5 - Gaurang Naik
Impact of Wi-Fi Transmissions on C-V2X Performance. 1-10 - Huaxia Wang
Secondary User Access Control with MassiveMIMO in Cognitive Radio Networks. 1-9 - Zhiwu Guo, Ming Li, Yong Xiao:
Enhancing LAA/Wi-Fi Coexistence via Concurrent Transmissions and Interference Cancellation. 1-10 - Nadia Yoza-Mitsuishi
Spectrum Sharing Between WLANs and Fixed Microwave Links in 6 and 13 GHz Bands: a Case Study. 1-7 - Sihan Yu, Xiaonan Zhang
Secure Authentication in Cross-Technology Communication for Heterogeneous IoT. 1-2 - Katsuya Suto, Riku Hashimoto:
Crowdsensing Based Spectrum Database with Total Variation Regularization. 1-6 - Soo Min Kwon, Song Yang, Jian Liu, Xin Yang, Wesam Saleh, Shreya Patel, Christine Mathews, Yingying Chen:
Demo: Hands-Free Human Activity Recognition Using Millimeter-Wave Sensors. 1-2 - Arnob Ghosh, Randall Berry
Spot Markets for Spectrum Measurements. 1-10 - Nandi Zhang, Marvin A. Sirbu
The Economics of Multi-Network Access. 1-10 - Dragoslav Stojadinovic, Milind M. Buddhikot:
Design of a Secondary Market for Fractional Spectrum Sub-leasing in Three-Tier Spectrum Sharing. 1-8 - Weichao Gao, Anirudha Sahoo:
Performance Study of a GAA-GAA Coexistence Scheme in the CBRS Band. 1-10 - Heikki Kokkinen, Seppo Yrjölä, João Milheiro, José Pedro Borrego, Nuno Borges Carvalho
Results of the Demonstration of Licensed Shared Access with Sensing of Secondary Signal. 1-9 - Mostafizur Rahman, Murat Yuksel:
Mobile Proof-of-Sharing Architectures for Inter-Operator Spectrum Sharing Markets. 1-5 - Yi Shi
Deep Learning for RF Signal Classification in Unknown and Dynamic Spectrum Environments. 1-10 - Jitong Ma
Asynchronous Blind Modulation Classification in the Presence of Non-Gaussian Noise. 1-10 - Yue Xu, Jianyuan Yu, R. Michael Buehrer:
Cache-Enabled Dynamic Spectrum Access via Deep Recurrent Q-Networks with Partial Observation. 1-2 - Yonghang Jiang, Yang Liu
Data Fusion and Alignment for Location-Aware Crowdsourcing Applications. 1-8 - Miguel Camelo
A semi-supervised learning approach towards automatic wireless technology recognition. 1-10 - Keita Katagiri, Takeo Fujii:
Demo: Highly Accurate Prediction of Radio Environment for V2V Communications. 1-2 - Won Namgoong, Murat Torlak:
Interferer-Robust Compressed Sensing Receiver Based on Mixer Harmonics. 1-10 - Yang Bai, Xin Yang, Chenghao Liu, Justin Wain, Ryan Wang, Jeffery Cheng, Chen Wang, Jian Liu, Yingying Chen:
Demo: Monitoring Movement Dynamics of Robot Cars and Drones Using Smartphone's Built-in Sensors. 1-2 - Rony Kumer Saha
Co-Primary Licensed Spectrum Sharing Techniques for In-building Small Cells in 5G Era. 1-6 - Yousi Lin, Yuxian Ye, Yaling Yang:
Preserving Incumbent User's Location Privacy Against Environmental Sensing Capability. 1-10 - Vaishali Nagpure, Stephanie Vaccaro, Cynthia Hood:
A Case Study of Spectrum Analysis Using Unsupervised Machine Learning. 1-2 - Elliot Eichen:
Real-Time Geographical Spectrum Sharing by 5G Networks and Earth Exploration Satellite Services. 1-2 - Debashri Roy, Tathagata Mukherjee, Mainak Chatterjee, Eduardo Pasiliao:
Primary User Activity Prediction in DSA Networks using Recurrent Structures. 1-10 - Keita Katagiri, Takeo Fujii:
Radio Environment Map Updating Procedure Based on Hypothesis Testing. 1-6 - Caleb M. Bowyer, David Greene, Tyler Ward, Marco Menendez, John M. Shea
Reinforcement Learning for Mixed Cooperative/Competitive Dynamic Spectrum Access. 1-6 - Robert J. Baxley, Roy S. Thompson
Team Zylinium DARPA Spectrum Collaboration Challenge Radio Design and Implementation. 1-6 - Dragoslav Stojadinovic, Felipe A. P. de Figueiredo
SC2 CIL: Evaluating the Spectrum Voxel Announcement Benefits. 1-6 - Akihisa Abe, Takeo Fujii:
Dynamic Bandwidth Allocation for Spectrum Shared Private Mobile Networks Using Prior Measured CQI Information. 1-6 - Felipe A. P. de Figueiredo
Scatter Phy: A Physical Layer for the DARPA Spectrum Collaboration Challenge. 1-6 - Carolyn A. Kahn, Susan S. M. Hanson, Darcy Swain-Walsh, Leila Z. Ribeiro, Stephen L. Giles:
Economic Considerations for Dynamic Spectrum Access Decisions. 1-8 - Matthew Troglia, Jordan L. Melcher, Yao Zheng
FaIR: Federated Incumbent Detection in CBRS Band. 1-6 - Mohammad Ghaderibaneh
Multiple Transmitter Localization under Time-Skewed Observations. 1-5 - Ruide Zhang, Ning Wang
PriRoster: Privacy-preserving Radio Context Attestation in Cognitive Radio Networks. 1-10 - Mostafizur Rahman, Murat Yuksel:
Government Reward Models for Inter-Operator Spectrum Sharing. 1-5 - Rony Kumer Saha
Nationwide Spectrum Sharing of Mobile Network Operators with Indoor Small Cells. 1-2 - Ahmed Al Hilli
MIMO Radar Privacy Protection Through Gradient Enforcement in Shared Spectrum Scenarios. 1-5 - Raed I. Alhamad
Optimal Power Allocation for Cooperative Spectrum Sensing. 1-5 - Mostafizur Rahman, Murat Yuksel, Walid Saad:
Regulations and Strategies in Subsidy-based Spectrum Sharing Markets. 1-10 - Reinhard Schrage, Carlos E. Caicedo Bastidas
The IEEE1900.5.1 standard: Policy Language for Dynamic Spectrum Access Systems. 1-8 - S. Anand, Vijay P. Kumar, Rajarathnam Chandramouli
Spectrum Management over Dynamic Spectrum Access based HetNets. 1-8 - Rony Kumer Saha
Exploiting In-building Small Cell Architecture for Realizing Dynamic Spectrum Sharing Techniques. 1-2 - Spilios Giannoulis
Dynamic and Collaborative Spectrum Sharing: The SCATTER Approach. 1-6 - Nasim Soltani, Kunal Sankhe, Stratis Ioannidis
Spectrum Awareness at the Edge: Modulation Classification using Smartphones. 1-10 - Zhichao Cao, Jialuo Du, Manni Liu, Qing Zhou:
EyeLoc: Smartphone Vision Enabled Plug-n-play Indoor Localization in Large Shopping Malls. 1-10 - Leo Laughlin, Federico Boccardi, Chris Gamlath, Eyad Arabi, Krishna C. Balram, Kevin A. Morris
Emerging Hardware Enablers for More Efficient Use of the Spectrum. 1-9 - Kemal Davaslioglu, Yalin E. Sagduyu:
Trojan Attacks on Wireless Signal Classification with Adversarial Machine Learning. 1-6 - Sohraab Soltani, Yalin E. Sagduyu, Raqibul Hasan, Kemal Davaslioglu, Hongmei Deng, Tugba Erpek:
Real-Time Experimentation of Deep Learning-based RF Signal Classifier on FPGA. 1-2 - Mohammad Daniyal Zulfiqar, Sumit Roy, Shreemoy Mishra:
Dynamic Spectrum Access Network Scaling with Multiple Users: A Market-based Analysis. 1-8 - Yi Wu, Jian Liu, Yingying Chen, Jerry Cheng:
Semi-black-box Attacks Against Speech Recognition Systems Using Adversarial Samples. 1-5 - Zhiyang Zhang, Jingchao Bao, Yawen Fan, Husheng Li:
Wind Sensing by Millimeter Wave Communications. 1-6 - Carlos Bocanegra, Kubra Alemdar, Sara García, Chetna Singhal, Kaushik R. Chowdhury
NetBeam: Networked and Distributed 3-D Beamforming for Multi-user Heterogeneous Traffic. 1-10 - Rizza T. Loquias
Quantitative Assessment of TV White Space in the Western Philippine Nautical Highway. 1-8 - Shangqing Zhao, Zhe Qu, Zhuo Lu, Tao Wang:
Spectrum Tomography Attacks: Inferring Spectrum Allocation Mechanisms in Multicarrier Systems. 1-2 - Dongming Li, Dengyin Zhang, Gengxin Zhang:
On Degrees of Freedom for Multi-user Interweave and Underlay Cognitive Radios. 1-6 - Xiongfei Qin, Shengliang Peng
Deep Learning based Channel Code Recognition using TextCNN. 1-5 - Maqsood Ahamed Abdul Careem, Aveek Dutta:
SenseChain: Blockchain based Reputation System for Distributed Spectrum Enforcement. 1-10 - Mustafa S. Aljumaily
Machine Learning Aided Hybrid Beamforming in Massive-MIMO Millimeter Wave Systems. 1-6 - Pouyan Amirshahi, Paul Ransom, Steven Grippando, Ivan Navarro:
Comparison of Centralized and Distributed Spectrum Monitoring Methods for Enabling Spectrum Sharing Between Weather Satellites and Terrestrial Networks. 1-8 - Christopher Gravelle, Todd Morehouse, Ruolin Zhou:
Deep Learning-Enabled Real-Time Recognition of Wireless Signals. 1-2 - Rabia Tugce Yazicigil
Security Assessment of Wideband Spectrum Sensors. 1-10 - Taiwo Oyedare, Jung-Min Jerry Park:
Estimating the Required Training Dataset Size for Transmitter Classification Using Deep Learning. 1-10 - Yousi Lin, Yuxian Ye, Yaling Yang:
Crowdsourcing-based Spectrum Monitoring at A Large Geographical Scale. 1-10 - Lixing Yu, Wenqiang Jin, Ming Li, Pan Li
Exploring Spatial-Temporal Patterns From Individual User Cellular Traffic. 1-2 - Masoud Zarifneshat, Proteek Roy, Li Xiao:
Multi-Objective Approach to Improve Load Balance and Blockage in Millimeter Wave Cellular Networks. 1-10 - Cong Shi, Justin Esposito, Sachin Mathew, Amit Patel, Rishika Sakhuja, Jian Liu, Yingying Chen:
Demo: Device-free Activity Monitoring Through Real-time Analysis on Prevalent WiFi Signals. 1-2 - Shusuke Narieda
Effect of LBT Time on LoRa Network Performance: Signal Detection Theorem Based Analyses. 1-2 - Amirhossein Yazdani Abyaneh
Intelligent-CW: AI-based Framework for Controlling Contention Window in WLANs. 1-10 - Hongtao Xia
Cellular Signal Identification Using Convolutional Neural Networks: AWGN and Rayleigh Fading Channels. 1-5 - Matthew Jordan Tonnemacher, Chance Tarver, Joseph Cavallar, Joseph Camp
Machine Learning Enhanced Channel Selection for Unlicensed LTE. 1-10 - Andrey Gritsenko, Zifeng Wang, Tong Jian, Jennifer G. Dy, Kaushik R. Chowdhury
Finding a 'New' Needle in the Haystack: Unseen Radio Detection in Large Populations Using Deep Learning. 1-10 - Pranay Agarwal
Privacy Preserving Scheme for Operating Frequency of Incumbents in Citizens Broadband Radio Service. 1-10 - Takayuki Hayashida, Ryota Okumura
Possibility of Dynamic Spectrum Sharing System by VHF-band Radio Sensor and Machine Learning. 1-6 - Christophe Braun, Andra M. Voicu, Ljiljana Simic, Petri Mähönen:
Should We Worry About Interference in Emerging Dense NGSO Satellite Constellations? 1-10 - Kai Zheng, Josep Miquel Jornet
Software-defined Radios to Accelerate mmWave Wireless Innovation. 1-4
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