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Ahmed Alkhateeb
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2020 – today
- 2024
- [j51]Yuqiang Heng, Yu Zhang, Ahmed Alkhateeb, Jeffrey G. Andrews:
Site-Specific Beam Alignment in 6G via Deep Learning. IEEE Commun. Mag. 62(8): 162-168 (2024) - [j50]Gouranga Charan
, Ahmed Alkhateeb
User Identification: A Key Enabler for Multi-User Vision-Aided Communications. IEEE Open J. Commun. Soc. 5: 472-488 (2024) - [j49]Shuaifeng Jiang
Vision-Guided MIMO Radar Beamforming for Enhanced Vital Signs Detection in Crowds. IEEE Trans. Aerosp. Electron. Syst. 60(4): 4640-4649 (2024) - [j48]Yu Zhang
Online Beam Learning With Interference Nulling for Millimeter Wave MIMO Systems. IEEE Trans. Wirel. Commun. 23(5): 5109-5124 (2024) - [j47]Katarina Vuckovic
PARAMOUNT: Toward Generalizable Deep Learning for mmWave Beam Selection Using Sub-6 GHz Channel Measurements. IEEE Trans. Wirel. Commun. 23(5): 5187-5202 (2024) - [j46]Ian P. Roberts
Real-World Evaluation of Full-Duplex Millimeter Wave Communication Systems. IEEE Trans. Wirel. Commun. 23(9): 10803-10819 (2024) - [c66]João Morais, Ahmed Alkhateeb:
Localization in Digital Twin MIMO Networks: A Case for Massive Fingerprinting. ICC Workshops 2024: 276-281 - [c65]Hao Luo, Umut Demirhan, Ahmed Alkhateeb:
ISAC with Backscattering RFID Tags: Joint Beamforming Design. ICC 2024: 921-925 - [c64]Shuaifeng Jiang, Ahmed Alkhateeb:
Digital Twin Aided Massive MIMO: CSI Compression and Feedback. ICC 2024: 3586-3591 - [c63]Umut Demirhan, Ahmed Alkhateeb:
Learning Beamforming in Cell-free Massive MIMO ISAC Systems. SPAWC 2024: 326-330 - [c62]Sadjad Alikhani, Ahmed Alkhateeb:
Digital Twin for Spectrum Sharing and Coexistence: Coordinating the Uncoordinated. SPAWC 2024: 796-800 - [d2]Umut Demirhan, Abdelrahman Taha, Ahmed Alkhateeb:
DeepVerse 6G. IEEE DataPort, 2024 - [i96]Bruno Clerckx, Yijie Mao, Zhaohui Yang, Mingzhe Chen, Ahmed Alkhateeb, Liang Liu, Min Qiu, Jinhong Yuan, Vincent W. S. Wong, Juan Montojo:
Multiple Access Techniques for Intelligent and Multi-Functional 6G: Tutorial, Survey, and Outlook. CoRR abs/2401.01433 (2024) - [i95]Yu Zhang, Ahmed Alkhateeb:
Zone-Specific CSI Feedback for Massive MIMO: A Situation-Aware Deep Learning Approach. CoRR abs/2401.07451 (2024) - [i94]Yu Zhang, Ahmed Alkhateeb:
Decentralized Interference-Aware Codebook Learning in Millimeter Wave MIMO Systems. CoRR abs/2401.07479 (2024) - [i93]Hao Luo, Umut Demirhan, Ahmed Alkhateeb:
ISAC with Backscattering RFID Tags: Joint Beamforming Design. CoRR abs/2401.09761 (2024) - [i92]Hao Luo, Ahmed Alkhateeb:
Integrated Imaging and Communication with Reconfigurable Intelligent Surfaces. CoRR abs/2401.15919 (2024) - [i91]Jinseok Choi, Jeonghun Park, Namyoon Lee, Ahmed Alkhateeb:
Joint and Robust Beamforming Framework for Integrated Sensing and Communication Systems. CoRR abs/2402.09155 (2024) - [i90]Shoaib Imran, Gouranga Charan, Ahmed Alkhateeb:
Environment Semantic Communication: Enabling Distributed Sensing Aided Networks. CoRR abs/2402.14766 (2024) - [i89]Shuaifeng Jiang, Ahmed Alkhateeb:
Digital Twin Aided Massive MIMO: CSI Compression and Feedback. CoRR abs/2402.19434 (2024) - [i88]João Morais, Ahmed Alkhateeb:
Localization in Digital Twin MIMO Networks: A Case for Massive Fingerprinting. CoRR abs/2403.09614 (2024) - [i87]Yuqiang Heng, Yu Zhang, Ahmed Alkhateeb, Jeffrey G. Andrews:
Site-Specific Beam Alignment in 6G via Deep Learning. CoRR abs/2403.16186 (2024) - [i86]Anil Gürses, Gautham Reddy, Saad Masrur, Özgür Özdemir, Ismail Güvenç, Mihail L. Sichitiu, Alphan Sahin, Ahmed Alkhateeb, Rudra Dutta:
Digital Twins for Supporting AI Research with Autonomous Vehicle Networks. CoRR abs/2404.00954 (2024) - [i85]Hao Luo, Ahmed Alkhateeb:
Digital Twin Aided Compressive Sensing: Enabling Site-Specific MIMO Hybrid Precoding. CoRR abs/2405.07115 (2024) - [i84]Sadjad Alikhani
Digital Twin Aided RIS Communication: Robust Beamforming and Interference Management. CoRR abs/2406.04188 (2024) - [i83]João Morais, Gouranga Charan, Nikhil Srinivas, Ahmed Alkhateeb:
DeepSense-V2V: A Vehicle-to-Vehicle Multi-Modal Sensing, Localization, and Communications Dataset. CoRR abs/2406.17908 (2024) - [i82]Shuaifeng Jiang, Qi Qu, Xiaqing Pan, Abhishek Agrawal, Richard A. Newcombe, Ahmed Alkhateeb:
Learnable Wireless Digital Twins: Reconstructing Electromagnetic Field with Neural Representations. CoRR abs/2409.02564 (2024) - [i81]Umut Demirhan, Ahmed Alkhateeb:
Learning Beamforming in Cell-Free Massive MIMO ISAC Systems. CoRR abs/2409.18237 (2024) - 2023
- [j45]Umut Demirhan, Ahmed Alkhateeb:
Integrated Sensing and Communication for 6G: Ten Key Machine Learning Roles. IEEE Commun. Mag. 61(5): 113-119 (2023) - [j44]Ahmed Alkhateeb, Gouranga Charan
DeepSense 6G: A Large-Scale Real-World Multi-Modal Sensing and Communication Dataset. IEEE Commun. Mag. 61(9): 122-128 (2023) - [j43]Ahmed Alkhateeb, Shuaifeng Jiang, Gouranga Charan
Real-Time Digital Twins: Vision and Research Directions for 6G and Beyond. IEEE Commun. Mag. 61(11): 128-134 (2023) - [j42]Shunyao Wu
Proactively Predicting Dynamic 6G Link Blockages Using LiDAR and In-Band Signatures. IEEE Open J. Commun. Soc. 4: 392-412 (2023) - [j41]Shuaifeng Jiang
Sensing Aided Reconfigurable Intelligent Surfaces for 3GPP 5G Transparent Operation. IEEE Trans. Commun. 71(11): 6348-6362 (2023) - [j40]Weihua Xu
Computer Vision Aided mmWave Beam Alignment in V2X Communications. IEEE Trans. Wirel. Commun. 22(4): 2699-2714 (2023) - [j39]Jiawei Chen
Computer Vision Aided Codebook Design for MIMO Communications Systems. IEEE Trans. Wirel. Commun. 22(5): 3341-3354 (2023) - [j38]Shuaifeng Jiang, Gouranga Charan
LiDAR Aided Future Beam Prediction in Real-World Millimeter Wave V2I Communications. IEEE Wirel. Commun. Lett. 12(2): 212-216 (2023) - [j37]Yu Zhang
Deep Learning of Near Field Beam Focusing in Terahertz Wideband Massive MIMO Systems. IEEE Wirel. Commun. Lett. 12(3): 535-539 (2023) - [c61]Ian P. Roberts, Yu Zhang, Tawfik Osman, Ahmed Alkhateeb:
Steer+: Robust Beam Refinement for Full-Duplex Millimeter Wave Communication Systems (Invited Paper). ACSSC 2023: 134-139 - [c60]Hao Luo, Ahmed Alkhateeb:
Integrated Imaging and Communication with Reconfigurable Intelligent Surfaces. ACSSC 2023: 151-156 - [c59]Tawfik Osman, Gouranga Charan, Ahmed Alkhateeb:
Vehicle Cameras Guide mm Wave Beams: Approach and Real-World V2V Demonstration. ACSSC 2023: 225-232 - [c58]Umut Demirhan, Ahmed Alkhateeb:
Cell-Free Joint Sensing and Communication MIMO: A Max-Min Fair Beamforming Approach. ACSSC 2023: 381-386 - [c57]Hao Luo, Umut Demirhan, Ahmed Alkhateeb:
Millimeter Wave V2V Beam Tracking using Radar: Algorithms and Real-World Demonstration. EUSIPCO 2023: 740-744 - [c56]Akshay S. Bondre, Christ D. Richmond, Ahmed Alkhateeb, Nicolò Michelusi:
Sparse Delay-Doppler Channel Estimation for OTFS Modulation Using 2D-Music. ICASSP 2023: 1-5 - [c55]Shuaifeng Jiang, Ahmed Alkhateeb:
Digital Twin Based Beam Prediction: Can We Train in the Digital World and Deploy in Reality? ICC Workshops 2023: 36-41 - [c54]Shoaib Imran, Gouranga Charan, Ahmed Alkhateeb:
Environment Semantic Aided Communication: A Real World Demonstration for Beam Prediction. ICC Workshops 2023: 48-53 - [c53]Yu Zhang, Tawfik Osman, Ahmed Alkhateeb:
A Digital Twin Assisted Framework for Interference Nulling in Millimeter Wave MIMO Systems. ICC Workshops 2023: 248-253 - [c52]Abdelrahman Taha
Reconfigurable Intelligent Surface Aided Wireless Sensing for Scene Depth Estimation. ICC 2023: 491-497 - [c51]Shuaifeng Jiang, Ahmed Alkhateeb:
Sensing Aided OTFS Massive MIMO Systems: Compressive Channel Estimation. ICC Workshops 2023: 794-799 - [c50]João Morais, Arash Bchboodi, Hamed Pezeshki, Ahmed Alkhateeb:
Position-Aided Beam Prediction in the Real World: How Useful GPS Locations Actually are? ICC 2023: 1824-1829 - [c49]Gouranga Charan, Andrew Hredzak, Ahmed Alkhateeb:
Millimeter Wave Drones with Cameras: Computer Vision Aided Wireless Beam Prediction. ICC Workshops 2023: 1896-1901 - [c48]Shuaifeng Jiang, Ahmed Hindy, Ahmed Alkhateeb:
Camera Aided Reconfigurable Intelligent Surfaces: Computer Vision Based Fast Beam Selection. ICC 2023: 2921-2926 - [c47]Eyad Shtaiwi, Ahmed Refaey Hussein, Awais Khawar, Ahmed Alkhateeb, Ahmed Abdelhadi, Zhu Han:
Implementation of Real-Time Adversarial Attacks on DNN-based Modulation Classifier. ICNC 2023: 288-292 - [c46]Nagham A. Al-Madi, Mohammad Azmi Al-Madi, Wael Alzyadat, Khulood Abu Maria, Ahmed Alkhateeb, Fanan Al-Madi:
Arcaboard: An Overview of the SElectromagnetic HoverBoard. ICIT 2023: 664-666 - [d1]Ahmed Alkhateeb, Gouranga Charan, Tawfik Osman, Andrew Hredzak, Nikhil Srinivas, Umut Demirhan, João Morais:
DeepSense 6G: A Large-Scale Real-World Multi-Modal Sensing and Communication Dataset. IEEE DataPort, 2023 - [i80]Shuaifeng Jiang, Ahmed Alkhateeb:
Digital Twin Based Beam Prediction: Can we Train in the Digital World and Deploy in Reality? CoRR abs/2301.07682 (2023) - [i79]Ahmed Alkhateeb, Shuaifeng Jiang, Gouranga Charan
Real-Time Digital Twins: Vision and Research Directions for 6G and Beyond. CoRR abs/2301.11283 (2023) - [i78]Umut Demirhan, Ahmed Alkhateeb:
Cell-Free ISAC MIMO Systems: Joint Sensing and Communication Beamforming. CoRR abs/2301.11328 (2023) - [i77]Yu Zhang, Tawfik Osman, Ahmed Alkhateeb:
A Digital Twin Assisted Framework for Interference Nulling in Millimeter Wave MIMO Systems. CoRR abs/2301.13311 (2023) - [i76]Shoaib Imran, Gouranga Charan
Environment Semantic Aided Communication: A Real World Demonstration for Beam Prediction. CoRR abs/2302.06736 (2023) - [i75]Shuaifeng Jiang, Ahmed Alkhateeb, Daniel W. Bliss, Yu Rong:
Vision Guided MIMO Radar Beamforming for Enhanced Vital Signs Detection in Crowds. CoRR abs/2306.10515 (2023) - [i74]Gouranga Charan, Muhammad Alrabeiah, Tawfik Osman, Ahmed Alkhateeb:
Camera Based mmWave Beam Prediction: Towards Multi-Candidate Real-World Scenarios. CoRR abs/2308.06868 (2023) - [i73]Tawfik Osman, Gouranga Charan, Ahmed Alkhateeb:
Vehicle Cameras Guide mmWave Beams: Approach and Real-World V2V Demonstration. CoRR abs/2308.10362 (2023) - 2022
- [j36]Georgios C. Trichopoulos
Design and Evaluation of Reconfigurable Intelligent Surfaces in Real-World Environment. IEEE Open J. Commun. Soc. 3: 462-474 (2022) - [j35]Shunyao Wu
Blockage Prediction Using Wireless Signatures: Deep Learning Enables Real-World Demonstration. IEEE Open J. Commun. Soc. 3: 776-796 (2022) - [j34]Ahmed Alkhateeb, Cagatay Catal
Hybrid Blockchain Platforms for the Internet of Things (IoT): A Systematic Literature Review. Sensors 22(4): 1304 (2022) - [j33]Yu Zhang
Reinforcement Learning of Beam Codebooks in Millimeter Wave and Terahertz MIMO Systems. IEEE Trans. Commun. 70(2): 904-919 (2022) - [j32]Muhammad Alrabeiah
Neural Networks Based Beam Codebooks: Learning mmWave Massive MIMO Beams That Adapt to Deployment and Hardware. IEEE Trans. Commun. 70(6): 3818-3833 (2022) - [j31]Umut Demirhan
Enabling Cell-Free Massive MIMO Systems With Wireless Millimeter Wave Fronthaul. IEEE Trans. Wirel. Commun. 21(11): 9482-9496 (2022) - [c45]Yu Zhang, Ahmed Alkhateeb:
Online Beam Learning for Interference Nulling in Hardware-Constrained mm Wave MIMO Systems. IEEECONF 2022: 200-204 - [c44]Shuaifeng Jiang, Ahmed Alkhateeb:
Computer Vision Aided Beam Tracking in A Real-World Millimeter Wave Deployment. GLOBECOM (Workshops) 2022: 142-147 - [c43]Sajad Rezaie, João Morais, Elisabeth de Carvalho, Ahmed Alkhateeb, Carles Navarro Manchón
Location- and Orientation-aware Millimeter Wave Beam Selection for Multi -Panel Antenna Devices. GLOBECOM 2022: 597-602 - [c42]Gouranga Charan
Computer Vision Aided Blockage Prediction in Real-World Millimeter Wave Deployments. GLOBECOM (Workshops) 2022: 1711-1716 - [c41]Gouranga Charan
Towards Real-World 6G Drone Communication: Position and Camera Aided Beam Prediction. GLOBECOM 2022: 2951-2956 - [c40]Shunyao Wu
Deep Learning for Moving Blockage Prediction using Real mmWave Measurements. ICC 2022: 3753-3758 - [c39]Umut Demirhan
Radar Aided Proactive Blockage Prediction in Real-World Millimeter Wave Systems. ICC 2022: 4547-4552 - [c38]Shunyao Wu
LiDAR-Aided Mobile Blockage Prediction in Real-World Millimeter Wave Systems. WCNC 2022: 2631-2636 - [c37]Umut Demirhan
Radar Aided 6G Beam Prediction: Deep Learning Algorithms and Real-World Demonstration. WCNC 2022: 2655-2660 - [c36]Gouranga Charan
Vision-Position Multi-Modal Beam Prediction Using Real Millimeter Wave Datasets. WCNC 2022: 2727-2731 - [i72]Yu Zhang, Ahmed Alkhateeb, Pranav Madadi, Jeongho Jeon, Joonyoung Cho, Charlie Zhang:
Predicting Future CSI Feedback For Highly-Mobile Massive MIMO Systems. CoRR abs/2202.02492 (2022) - [i71]Gouranga Charan, Ahmed Alkhateeb:
Computer Vision Aided Blockage Prediction in Real-World Millimeter Wave Deployments. CoRR abs/2203.01907 (2022) - [i70]Shuaifeng Jiang, Gouranga Charan, Ahmed Alkhateeb:
LiDAR Aided Future Beam Prediction in Real-World Millimeter Wave V2I Communications. CoRR abs/2203.05548 (2022) - [i69]João Morais, Arash Behboodi, Hamed Pezeshki, Ahmed Alkhateeb:
Position Aided Beam Prediction in the Real World: How Useful GPS Locations Actually Are? CoRR abs/2205.09054 (2022) - [i68]Umut Demirhan, Ahmed Alkhateeb:
Integrated Sensing and Communication for 6G: Ten Key Machine Learning Roles. CoRR abs/2208.02157 (2022) - [i67]Yu Zhang, Tawfik Osman, Ahmed Alkhateeb:
Online Beam Learning with Interference Nulling for Millimeter Wave MIMO Systems. CoRR abs/2209.04509 (2022) - [i66]Gouranga Charan
Multi-Modal Beam Prediction Challenge 2022: Towards Generalization. CoRR abs/2209.07519 (2022) - [i65]Shuaifeng Jiang, Ahmed Alkhateeb:
Sensing Aided OTFS Channel Estimation for Massive MIMO Systems. CoRR abs/2209.11321 (2022) - [i64]Yu Zhang, Ahmed Alkhateeb:
Deep Learning of Near Field Beam Focusing in Terahertz Wideband Massive MIMO Systems. CoRR abs/2210.02980 (2022) - [i63]Shuaifeng Jiang, Ahmed Hindy, Ahmed Alkhateeb:
Camera Aided Reconfigurable Intelligent Surfaces: Computer Vision Based Fast Beam Selection. CoRR abs/2211.07563 (2022) - [i62]Gouranga Charan
Millimeter Wave Drones with Cameras: Computer Vision Aided Wireless Beam Prediction. CoRR abs/2211.07569 (2022) - [i61]Abdelrahman Taha
Reconfigurable Intelligent Surface Aided Wireless Sensing for Scene Depth Estimation. CoRR abs/2211.08210 (2022) - [i60]Shunyao Wu
Proactively Predicting Dynamic 6G Link Blockages Using LiDAR and In-Band Signatures. CoRR abs/2211.09535 (2022) - [i59]Ahmed Alkhateeb, Gouranga Charan
DeepSense 6G: A Large-Scale Real-World Multi-Modal Sensing and Communication Dataset. CoRR abs/2211.09769 (2022) - [i58]Shuaifeng Jiang, Ahmed Hindy, Ahmed Alkhateeb:
Sensing Aided Reconfigurable Intelligent Surfaces for 3GPP 5G Transparent Operation. CoRR abs/2211.13487 (2022) - 2021
- [j30]Abdelrahman Taha
Enabling Large Intelligent Surfaces With Compressive Sensing and Deep Learning. IEEE Access 9: 44304-44321 (2021) - [j29]Abdelrahman Taha
Millimeter Wave MIMO-Based Depth Maps for Wireless Virtual and Augmented Reality. IEEE Access 9: 48341-48363 (2021) - [j28]Yuwen Yang
Deep Multimodal Learning: Merging Sensory Data for Massive MIMO Channel Prediction. IEEE J. Sel. Areas Commun. 39(7): 1885-1898 (2021) - [j27]Weihua Xu
Deep Learning Based Channel Covariance Matrix Estimation With User Location and Scene Images. IEEE Trans. Commun. 69(12): 8145-8158 (2021) - [j26]Gouranga Charan
Vision-Aided 6G Wireless Communications: Blockage Prediction and Proactive Handoff. IEEE Trans. Veh. Technol. 70(10): 10193-10208 (2021) - [j25]Faris B. Mismar
Deep Learning Predictive Band Switching in Wireless Networks. IEEE Trans. Wirel. Commun. 20(1): 96-109 (2021) - [j24]Bo Lin
Deep Learning-Based Antenna Selection and CSI Extrapolation in Massive MIMO Systems. IEEE Trans. Wirel. Commun. 20(11): 7669-7681 (2021) - [c35]Tugba Erpek, Yalin E. Sagduyu, Ahmed Alkhateeb, Aylin Yener:
Autoencoder-based Communications with Reconfigurable Intelligent Surfaces. DySPAN 2021: 242-247 - [c34]Nof Abuzainab, Muhammad Alrabeiah
Deep Learning for THz Drones with Flying Intelligent Surfaces: Beam and Handoff Prediction. ICC Workshops 2021: 1-6 - [c33]Gouranga Charan
Vision-Aided Dynamic Blockage Prediction for 6G Wireless Communication Networks. ICC Workshops 2021: 1-6 - [c32]Yuwen Yang, Feifei Gao, Chengwen Xing, Jianping An, Ahmed Alkhateeb:
Sensory Data Assisted Downlink Channel Prediction for Massive MIMO. ICC 2021: 1-6 - [c31]Weihua Xu, Feifei Gao, Jianhua Zhang, Xiaoming Tao, Ahmed Alkhateeb, Shaodan Ma:
Deep Learning Based Channel Covariance Matrix Estimation with Scene Images. ICCC 2021: 162-166 - [c30]Bo Lin, Feifei Gao, Shun Zhang, Ting Zhou, Ahmed Alkhateeb:
Deep Learning based Antenna Selection and CSI Extrapolation in Massive MIMO Systems. ICCC 2021: 962-966 - [i57]Shunyao Wu, Muhammad Alrabeiah, Andrew Hredzak, Chaitali Chakrabarti, Ahmed Alkhateeb:
Deep Learning for Moving Blockage Prediction using Real Millimeter Wave Measurements. CoRR abs/2101.06886 (2021) - [i56]Abdelrahman Taha, Qi Qu, Sam Alex, Ping Wang, William L. Abbott, Ahmed Alkhateeb:
Millimeter Wave MIMO based Depth Maps for Wireless Virtual and Augmented Reality. CoRR abs/2102.06198 (2021) - [i55]Yu Zhang, Muhammad Alrabeiah, Ahmed Alkhateeb:
Reinforcement Learning for Beam Pattern Design in Millimeter Wave and Massive MIMO Systems. CoRR abs/2102.09084 (2021) - [i54]Gouranga Charan, Muhammad Alrabeiah, Ahmed Alkhateeb:
Vision-Aided 6G Wireless Communications: Blockage Prediction and Proactive Handoff. CoRR abs/2102.09527 (2021) - [i53]Nof Abuzainab, Muhammad Alrabeiah, Ahmed Alkhateeb, Yalin E. Sagduyu:
Deep Learning for THz Drones with Flying Intelligent Surfaces: Beam and Handoff Prediction. CoRR abs/2102.11222 (2021) - [i52]Yu Zhang, Muhammad Alrabeiah, Ahmed Alkhateeb:
Reinforcement Learning of Beam Codebooks in Millimeter Wave and Terahertz MIMO Systems. CoRR abs/2102.11392 (2021) - [i51]Muhammad Alrabeiah, Umut Demirhan, Andrew Hredzak, Ahmed Alkhateeb:
Computer Vision Aided URLL Communications: Proactive Service Identification and Coexistence. CoRR abs/2103.10419 (2021) - [i50]Georgios C. Trichopoulos, Panagiotis Theofanopoulos, Bharath Kashyap, Aditya Shekhawat, Anuj Modi, Tawfik Osman, Sanjay Kumar, Anand Sengar, Arkajyoti Chang, Ahmed Alkhateeb:
Design and Evaluation of Reconfigurable Intelligent Surfaces in Real-World Environment. CoRR abs/2109.07763 (2021) - [i49]Yu Zhang, Ahmed Alkhateeb:
Learning Reflection Beamforming Codebooks for Arbitrary RIS and Non-Stationary Channels. CoRR abs/2109.14909 (2021) - [i48]Umut Demirhan, Ahmed Alkhateeb:
Enabling Cell-Free Massive MIMO Systems with Wireless Millimeter Wave Fronthaul. CoRR abs/2110.01798 (2021) - [i47]Gouranga Charan, Tawfik Osman, Andrew Hredzak, Ngwe Thawdar, Ahmed Alkhateeb:
Vision-Position Multi-Modal Beam Prediction Using Real Millimeter Wave Datasets. CoRR abs/2111.07574 (2021) - [i46]Shunyao Wu, Muhammad Alrabeiah, Chaitali Chakrabarti, Ahmed Alkhateeb:
Blockage Prediction Using Wireless Signatures: Deep Learning Enables Real-World Demonstration. CoRR abs/2111.08242 (2021) - [i45]Shunyao Wu, Chaitali Chakrabarti, Ahmed Alkhateeb:
LiDAR-Aided Mobile Blockage Prediction in Real-World Millimeter Wave Systems. CoRR abs/2111.09581 (2021) - [i44]Umut Demirhan, Ahmed Alkhateeb:
Radar Aided 6G Beam Prediction: Deep Learning Algorithms and Real-World Demonstration. CoRR abs/2111.09676 (2021) - [i43]Shuaifeng Jiang, Ahmed Alkhateeb:
Computer Vision Aided Beam Tracking in A Real-World Millimeter Wave Deployment. CoRR abs/2111.14803 (2021) - [i42]Umut Demirhan, Ahmed Alkhateeb:
Radar Aided Proactive Blockage Prediction in Real-World Millimeter Wave Systems. CoRR abs/2111.14805 (2021) - [i41]Tugba Erpek, Yalin E. Sagduyu, Ahmed Alkhateeb, Aylin Yener:
Autoencoder-based Communications with Reconfigurable Intelligent Surfaces. CoRR abs/2112.04441 (2021) - 2020
- [j23]Jinseok Choi, Gilwon Lee, Ahmed Alkhateeb, Alan Gatherer, Naofal Al-Dhahir, Brian L. Evans:
Advanced Receiver Architectures for Millimeter-Wave Communications with Low-Resolution ADCs. IEEE Commun. Mag. 58(8): 42-48 (2020) - [j22]Faris B. Mismar
Deep Reinforcement Learning for 5G Networks: Joint Beamforming, Power Control, and Interference Coordination. IEEE Trans. Commun. 68(3): 1581-1592 (2020) - [j21]Muhammad Alrabeiah
Deep Learning for mmWave Beam and Blockage Prediction Using Sub-6 GHz Channels. IEEE Trans. Commun. 68(9): 5504-5518 (2020) - [j20]Yuwen Yang
Deep Transfer Learning-Based Downlink Channel Prediction for FDD Massive MIMO Systems. IEEE Trans. Commun. 68(12): 7485-7497 (2020) - [j19]Yu Zhang
Deep Learning for Massive MIMO With 1-Bit ADCs: When More Antennas Need Fewer Pilots. IEEE Wirel. Commun. Lett. 9(8): 1273-1277 (2020) - [j18]Weihua Xu
3D Scene-Based Beam Selection for mmWave Communications. IEEE Wirel. Commun. Lett. 9(11): 1850-1854 (2020) - [c29]Muhammad Alrabeiah
Vision Aided URLL Communications: Proactive Service Identification and Coexistence. ACSSC 2020: 174-178 - [c28]Jayden Booth, Ahmed Ewaisha, Andreas Spanias, Ahmed Alkhateeb:
Deep Learning Based MIMO Channel Prediction: An Initial Proof of Concept Prototype. ACSSC 2020: 267-271 - [c27]Yu Zhang, Muhammad Alrabeiah
Reinforcement Learning for Beam Pattern Design in Millimeter Wave and Massive MIMO Systems. ACSSC 2020: 445-449 - [c26]Abdelrahman Taha
Situation-Aware Channel Covariance Prediction for Deep Learning Aided Massive MIMO Systems. ACSSC 2020: 1342-1346 - [c25]Abdelrahman Taha
Deep Reinforcement Learning for Intelligent Reflecting Surfaces: Towards Standalone Operation. SPAWC 2020: 1-5 - [c24]Yu Zhang, Muhammad Alrabeiah
Learning Beam Codebooks with Neural Networks: Towards Environment-Aware mmWave MIMO. SPAWC 2020: 1-5 - [c23]Muhammad Alrabeiah
Millimeter Wave Base Stations with Cameras: Vision-Aided Beam and Blockage Prediction. VTC Spring 2020: 1-5 - [c22]Muhammad Alrabeiah
ViWi: A Deep Learning Dataset Framework for Vision-Aided Wireless Communications. VTC Spring 2020: 1-5 - [i40]Muhammad Alrabeiah, Jayden Booth, Andrew Hredzak, Ahmed Alkhateeb:
ViWi Vision-Aided mmWave Beam Tracking: Dataset, Task, and Baseline Solutions. CoRR abs/2002.02445 (2020) - [i39]Yu Zhang, Muhammad Alrabeiah, Ahmed Alkhateeb:
Learning Beam Codebooks with Neural Networks: Towards Environment-Aware mmWave MIMO. CoRR abs/2002.10663 (2020) - [i38]Abdelrahman Taha, Yu Zhang, Faris B. Mismar, Ahmed Alkhateeb:
Deep Reinforcement Learning for Intelligent Reflecting Surfaces: Towards Standalone Operation. CoRR abs/2002.11101 (2020) - [i37]Jinseok Choi, Gilwon Lee, Ahmed Alkhateeb, Alan Gatherer, Naofal Al-Dhahir, Brian L. Evans:
Advanced Receiver Architectures for Millimeter Wave Communications with Low-Resolution ADCs. CoRR abs/2003.03683 (2020) - [i36]Xiaoyan Ying, Umut Demirhan, Ahmed Alkhateeb:
Relay Aided Intelligent Reconfigurable Surfaces: Achieving the Potential Without So Many Antennas. CoRR abs/2006.06644 (2020) - [i35]Gouranga Charan, Muhammad Alrabeiah, Ahmed Alkhateeb:
Vision-Aided Dynamic Blockage Prediction for 6G Wireless Communication Networks. CoRR abs/2006.09902 (2020) - [i34]Muhammad Alrabeiah, Yu Zhang, Ahmed Alkhateeb:
Neural Networks Based Beam Codebooks: Learning mmWave Massive MIMO Beams that Adapt to Deployment and Hardware. CoRR abs/2006.14501 (2020) - [i33]Yuwen Yang, Feifei Gao, Chengwen Xing, Jianping An, Ahmed Alkhateeb:
Deep Multimodal Learning: Merging Sensory Data for Massive MIMO Channel Prediction. CoRR abs/2007.09366 (2020)
2010 – 2019
- 2019
- [j17]Theodore S. Rappaport
Wireless Communications and Applications Above 100 GHz: Opportunities and Challenges for 6G and Beyond. IEEE Access 7: 78729-78757 (2019) - [c21]Xiaofeng Li, Ahmed Alkhateeb:
Deep Learning for Direct Hybrid Precoding in Millimeter Wave Massive MIMO Systems. ACSSC 2019: 800-805 - [c20]Muhammad Alrabeiah
Deep Learning for TDD and FDD Massive MIMO: Mapping Channels in Space and Frequency. ACSSC 2019: 1465-1470 - [c19]Abdelrahman Taha
Deep Learning for Large Intelligent Surfaces in Millimeter Wave and Massive MIMO Systems. GLOBECOM 2019: 1-6 - [c18]Mohammed Aladsani, Ahmed Alkhateeb, Georgios C. Trichopoulos
Leveraging mmWave Imaging and Communications for Simultaneous Localization and Mapping. ICASSP 2019: 4539-4543 - [i32]Ahmed Alkhateeb:
DeepMIMO: A Generic Deep Learning Dataset for Millimeter Wave and Massive MIMO Applications. CoRR abs/1902.06435 (2019) - [i31]Abdelrahman Taha, Muhammad Alrabeiah, Ahmed Alkhateeb:
Enabling Large Intelligent Surfaces with Compressive Sensing and Deep Learning. CoRR abs/1904.10136 (2019) - [i30]Muhammad Alrabeiah, Ahmed Alkhateeb:
Deep Learning for TDD and FDD Massive MIMO: Mapping Channels in Space and Frequency. CoRR abs/1905.03761 (2019) - [i29]Xiaofeng Li, Ahmed Alkhateeb:
Deep Learning for Direct Hybrid Precoding in Millimeter Wave Massive MIMO Systems. CoRR abs/1905.13212 (2019) - [i28]Faris B. Mismar, Brian L. Evans, Ahmed Alkhateeb:
Deep Reinforcement Learning for 5G Networks: Joint Beamforming, Power Control, and Interference Coordination. CoRR abs/1907.00123 (2019) - [i27]Muhammad Alrabeiah, Ahmed Alkhateeb:
Deep Learning for mmWave Beam and Blockage Prediction Using Sub-6GHz Channels. CoRR abs/1910.02900 (2019) - [i26]Faris B. Mismar, Ahmad AlAmmouri, Ahmed Alkhateeb, Jeffrey G. Andrews, Brian L. Evans:
Deep Learning Predictive Band Switching in Wireless Networks. CoRR abs/1910.05305 (2019) - [i25]Yu Zhang, Muhammad Alrabeiah, Ahmed Alkhateeb:
Deep Learning for Massive MIMO with 1-Bit ADCs: When More Antennas Need Fewer Pilots. CoRR abs/1910.06960 (2019) - [i24]Muhammad Alrabeiah, Andrew Hredzak, Ahmed Alkhateeb:
Millimeter Wave Base Stations with Cameras: Vision Aided Beam and Blockage Prediction. CoRR abs/1911.06255 (2019) - [i23]Muhammad Alrabeiah, Andrew Hredzak, Zhenhao Liu, Ahmed Alkhateeb:
ViWi: A Deep Learning Dataset Framework for Vision-Aided Wireless Communications. CoRR abs/1911.06257 (2019) - [i22]Yuwen Yang, Feifei Gao, Zhimeng Zhong, Bo Ai, Ahmed Alkhateeb:
Deep Transfer Learning Based Downlink Channel Prediction for FDD Massive MIMO Systems. CoRR abs/1912.12265 (2019) - 2018
- [j16]Ahmed Alkhateeb
Deep Learning Coordinated Beamforming for Highly-Mobile Millimeter Wave Systems. IEEE Access 6: 37328-37348 (2018) - [c17]Xiaofeng Li, Ahmed Alkhateeb, Cihan Tepedelenlioglu:
Generative Adversarial Estimation of Channel Covariance in Vehicular Millimeter Wave Systems. ACSSC 2018: 1572-1576 - [c16]Ahmed Alkhateeb, Iz Beltagy, Sam Alex:
Machine Learning for Reliable MMWAVE Systems: Blockage Prediction and Proactive Handoff. GlobalSIP 2018: 1055-1059 - [c15]Cody Scarborough, Kiran Venugopal, Ahmed Alkhateeb, Robert W. Heath Jr.
Beamforming in Millimeter Wave Systems: Prototyping and Measurement Results. VTC Fall 2018: 1-5 - [i21]Ahmed Alkhateeb, Sam Alex, Paul Parayil Varkey, Ying Li, Qi Qu, Djordje Tujkovic:
Deep Learning Coordinated Beamforming for Highly-Mobile Millimeter Wave Systems. CoRR abs/1804.10334 (2018) - [i20]Cody Scarborough, Kiran Venugopal, Ahmed Alkhateeb, Robert W. Heath Jr.:
Beamforming in Millimeter Wave Systems: Prototyping and Measurement Results. CoRR abs/1807.02425 (2018) - [i19]Ahmed Alkhateeb, Iz Beltagy:
Machine Learning for Reliable mmWave Systems: Blockage Prediction and Proactive Handoff. CoRR abs/1807.02723 (2018) - [i18]Xiaofeng Li, Ahmed Alkhateeb, Cihan Tepedelenlioglu:
Generative Adversarial Estimation of Channel Covariance in Vehicular Millimeter Wave Systems. CoRR abs/1808.02208 (2018) - [i17]Mohammed Aladsani, Ahmed Alkhateeb, Georgios C. Trichopoulos:
Leveraging mmWave Imaging and Communications for Simultaneous Localization and Mapping. CoRR abs/1811.07097 (2018) - 2017
- [j15]Kiran Venugopal, Ahmed Alkhateeb, Nuria González Prelcic
Channel Estimation for Hybrid Architecture-Based Wideband Millimeter Wave Systems. IEEE J. Sel. Areas Commun. 35(9): 1996-2009 (2017) - [j14]Jeffrey G. Andrews
Modeling and Analyzing Millimeter Wave Cellular Systems. IEEE Trans. Commun. 65(1): 403-430 (2017) - [j13]Jianhua Mo
Hybrid Architectures With Few-Bit ADC Receivers: Achievable Rates and Energy-Rate Tradeoffs. IEEE Trans. Wirel. Commun. 16(4): 2274-2287 (2017) - [j12]Ahmed Alkhateeb, Young-Han Nam
Initial Beam Association in Millimeter Wave Cellular Systems: Analysis and Design Insights. IEEE Trans. Wirel. Commun. 16(5): 2807-2821 (2017) - [j11]Sungwoo Park, Ahmed Alkhateeb, Robert W. Heath Jr.
Dynamic Subarrays for Hybrid Precoding in Wideband mmWave MIMO Systems. IEEE Trans. Wirel. Commun. 16(5): 2907-2920 (2017) - [j10]Ahmed Alkhateeb, Geert Leus
Multi-Layer Precoding: A Potential Solution for Full-Dimensional Massive MIMO Systems. IEEE Trans. Wirel. Commun. 16(9): 5810-5824 (2017) - [c14]Kiran Venugopal, Ahmed Alkhateeb, Robert W. Heath Jr.
Time-domain channel estimation for wideband millimeter wave systems with hybrid architecture. ICASSP 2017: 6493-6497 - 2016
- [j9]Roi Méndez-Rial
Hybrid MIMO Architectures for Millimeter Wave Communications: Phase Shifters or Switches? IEEE Access 4: 247-267 (2016) - [j8]Abhishek K. Gupta
Gains of Restricted Secondary Licensing in Millimeter Wave Cellular Systems. IEEE J. Sel. Areas Commun. 34(11): 2935-2950 (2016) - [j7]Ahmed Alkhateeb, Robert W. Heath Jr.
Frequency Selective Hybrid Precoding for Limited Feedback Millimeter Wave Systems. IEEE Trans. Commun. 64(5): 1801-1818 (2016) - [j6]Talha Ahmed Khan, Ahmed Alkhateeb, Robert W. Heath Jr.
Millimeter Wave Energy Harvesting. IEEE Trans. Wirel. Commun. 15(9): 6048-6062 (2016) - [j5]Ahmed Alkhateeb, Young-Han Nam
Massive MIMO Combining with Switches. IEEE Wirel. Commun. Lett. 5(3): 232-235 (2016) - [c13]Sungwoo Park, Ahmed Alkhateeb, Robert W. Heath Jr.
Dynamic subarray architecture for wideband hybrid precoding in millimeter wave massive MIMO systems. GlobalSIP 2016: 600-604 - [c12]Abhishek K. Gupta
Restricted Secondary Licensing for mmWave Cellular: How Much Gain Can Be Obtained? GLOBECOM 2016: 1-6 - [c11]Ahmed Alkhateeb, Robert W. Heath Jr.
Gram Schmidt based greedy hybrid precoding for frequency selective millimeter wave MIMO systems. ICASSP 2016: 3396-3400 - [c10]Jianhua Mo, Ahmed Alkhateeb, Shadi Abu-Surra, Robert W. Heath Jr.:
Achievable Rates of Hybrid Architectures with Few-Bit ADC Receivers. WSA 2016: 1-8 - [i16]Ahmed Alkhateeb, Robert W. Heath Jr.:
Gram Schmidt Based Greedy Hybrid Precoding for Frequency Selective Millimeter Wave MIMO Systems. CoRR abs/1601.07223 (2016) - [i15]Ahmed Alkhateeb, Young-Han Nam, Jianzhong Zhang, Robert W. Heath Jr.:
Massive MIMO Combining with Switches. CoRR abs/1601.07468 (2016) - [i14]Ahmed Alkhateeb, Young-Han Nam, Md Saifur Rahman, Jianzhong Zhang, Robert W. Heath Jr.:
Initial Beam Association in Millimeter Wave Cellular Systems: Analysis and Design Insights. CoRR abs/1602.06598 (2016) - [i13]Abhishek K. Gupta, Ahmed Alkhateeb, Jeffrey G. Andrews, Robert W. Heath Jr.:
Gains of Restricted Secondary Licensing in Millimeter Wave Cellular Systems. CoRR abs/1605.00205 (2016) - [i12]Jianhua Mo, Ahmed Alkhateeb, Shadi Abu-Surra, Robert W. Heath Jr.:
Hybrid Architectures with Few-Bit ADC Receivers: Achievable Rates and Energy-Rate Tradeoffs. CoRR abs/1605.00668 (2016) - [i11]Jeffrey G. Andrews, Tianyang Bai, Mandar N. Kulkarni, Ahmed Alkhateeb, Abhishek K. Gupta, Robert W. Heath Jr.:
Modeling and Analyzing Millimeter Wave Cellular Systems. CoRR abs/1605.04283 (2016) - [i10]Sungwoo Park, Ahmed Alkhateeb, Robert W. Heath Jr.:
Dynamic Subarrays for Hybrid Precoding in Wideband mmWave MIMO Systems. CoRR abs/1606.08405 (2016) - [i9]Ahmed Alkhateeb, Geert Leus, Robert W. Heath Jr.:
Multi-Layer Precoding: A Potential Solution for Full-Dimensional Massive MIMO Systems. CoRR abs/1610.04192 (2016) - [i8]Kiran Venugopal, Ahmed Alkhateeb, Nuria González Prelcic, Robert W. Heath Jr.:
Channel Estimation for Hybrid Architecture Based Wideband Millimeter Wave Systems. CoRR abs/1611.03046 (2016) - 2015
- [j4]Ahmed Alkhateeb, Geert Leus
Limited Feedback Hybrid Precoding for Multi-User Millimeter Wave Systems. IEEE Trans. Wirel. Commun. 14(11): 6481-6494 (2015) - [c9]Mandar N. Kulkarni, Ahmed Alkhateeb, Jeffrey G. Andrews:
A tractable model for per user rate in multiuser millimeter wave cellular networks. ACSSC 2015: 328-332 - [c8]Mohammed E. Eltayeb, Ahmed Alkhateeb, Robert W. Heath Jr.
Opportunistic beam training with hybrid analog/digital codebooks for mmWave systems. GlobalSIP 2015: 315-319 - [c7]Talha Ahmed Khan, Ahmed Alkhateeb, Robert W. Heath Jr.
Energy Coverage in Millimeter Wave Energy Harvesting Networks. GLOBECOM Workshops 2015: 1-6 - [c6]Ahmed Alkhateeb, Geert Leus, Robert W. Heath Jr.
Compressed sensing based multi-user millimeter wave systems: How many measurements are needed? ICASSP 2015: 2909-2913 - [c5]Ahmed Alkhateeb, Robert W. Heath Jr.
Achievable rates of multi-user millimeter wave systems with hybrid precoding. ICC Workshops 2015: 1232-1237 - [c4]Roi Méndez-Rial
Channel estimation and hybrid combining for mmWave: Phase shifters or switches? ITA 2015: 90-97 - [i7]Ahmed Alkhateeb, Geert Leus, Robert W. Heath Jr.:
Compressed Sensing Based Multi-User Millimeter Wave Systems: How Many Measurements Are Needed? CoRR abs/1505.00299 (2015) - [i6]Ahmed Alkhateeb, Robert W. Heath Jr., Geert Leus:
Achievable Rates of Multi-User Millimeter Wave Systems with Hybrid Precoding. CoRR abs/1505.00303 (2015) - [i5]Talha Ahmed Khan, Ahmed Alkhateeb, Robert W. Heath Jr.:
Millimeter Wave Energy Harvesting. CoRR abs/1509.01653 (2015) - [i4]Ahmed Alkhateeb, Robert W. Heath Jr.:
Frequency Selective Hybrid Precoding for Limited Feedback Millimeter Wave Systems. CoRR abs/1510.00609 (2015) - [i3]Roi Méndez-Rial, Cristian Rusu, Nuria González Prelcic, Ahmed Alkhateeb, Robert W. Heath Jr.:
Hybrid MIMO Architectures for Millimeter Wave Communications: Phase Shifters or Switches? CoRR abs/1512.03032 (2015) - 2014
- [j3]Tianyang Bai, Ahmed Alkhateeb, Robert W. Heath Jr.
Coverage and capacity of millimeter-wave cellular networks. IEEE Commun. Mag. 52(9): 70-77 (2014) - [j2]Ahmed Alkhateeb, Jianhua Mo
Mimo precoding and combining solutions for millimeter-wave systems. IEEE Commun. Mag. 52(12): 122-131 (2014) - [j1]Ahmed Alkhateeb, Omar El Ayach, Geert Leus
Channel Estimation and Hybrid Precoding for Millimeter Wave Cellular Systems. IEEE J. Sel. Top. Signal Process. 8(5): 831-846 (2014) - [c3]Ahmed Alkhateeb, Geert Leus
Multi-layer precoding for full-dimensional massive MIMO systems. ACSSC 2014: 815-819 - [c2]Vip Desai, Lukasz Krzymien, Philippe J. Sartori, Weimin Xiao, Anthony C. K. Soong, Ahmed Alkhateeb:
Initial beamforming for mmWave communications. ACSSC 2014: 1926-1930 - [c1]Ahmed Alkhateeb, Omar El Ayach, Geert Leus
Single-sided adaptive estimation of multi-path millimeter wave channels. SPAWC 2014: 125-129 - [i2]Ahmed Alkhateeb, Omar El Ayach, Geert Leus, Robert W. Heath Jr.:
Channel Estimation and Hybrid Precoding for Millimeter Wave Cellular Systems. CoRR abs/1401.7426 (2014) - [i1]Ahmed Alkhateeb, Geert Leus, Robert W. Heath Jr.:
Limited Feedback Hybrid Precoding for Multi-User Millimeter Wave Systems. CoRR abs/1409.5162 (2014)
Coauthor Index
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