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ORCIDIEEE Journal of Selected Areas in Communications, Volume 40
Volume 40, Number 1, January 2022
- Geoffrey Ye Li
, Walid Saad, Ayfer Özgür, Peter Kairouz, Zhijin Qin, Jakob Hoydis, Zhu Han, Deniz Gündüz, Jaafar Mohamed Hashim Elmirghani:
Series Editorial The Fourth Issue of the Series on Machine Learning in Communications and Networks. 1-4 - Khaled B. Letaief, Yuanming Shi, Jianmin Lu, Jianhua Lu:
Edge Artificial Intelligence for 6G: Vision, Enabling Technologies, and Applications. 5-36 - Muddassar Hussain, Nicolò Michelusi:
Learning and Adaptation for Millimeter-Wave Beam Tracking and Training: A Dual Timescale Variational Framework. 37-53 - Yibo Wu, Ulf Gustavsson, Alexandre Graell i Amat, Henk Wymeersch:
Low Complexity Joint Impairment Mitigation of I/Q Modulator and PA Using Neural Networks. 54-64 - Jing Zhang, Chao-Kai Wen, Shi Jin:
Adaptive MIMO Detector Based on Hypernetwork: Design, Simulation, and Experimental Test. 65-81 - Samer S. Hanna, Chris Dick, Danijela Cabric:
Signal Processing-Based Deep Learning for Blind Symbol Decoding and Modulation Classification. 82-96 - Lin Zhang, Xiaoling Yang, Heng Liu, Haotian Zhang, Julian Cheng:
Efficient Residual Shrinkage CNN Denoiser Design for Intelligent Signal Processing: Modulation Recognition, Detection, and Decoding. 97-111 - Yanna Bai, Wei Chen, Bo Ai, Zhangdui Zhong, Ian J. Wassell:
Prior Information Aided Deep Learning Method for Grant-Free NOMA in mMTC. 112-126 - Mahdi Fozi, Ahmad R. Sharafat, Mehdi Bennis:
Fast MIMO Beamforming via Deep Reinforcement Learning for High Mobility mmWave Connectivity. 127-142 - Yan Huang, Y. Thomas Hou, Wenjing Lou:
DELUXE: A DL-Based Link Adaptation for URLLC/eMBB Multiplexing in 5G NR. 143-162 - Qiyu Hu, Yunlong Cai, Kai Kang, Guanding Yu, Jakob Hoydis, Yonina C. Eldar:
Two-Timescale End-to-End Learning for Channel Acquisition and Hybrid Precoding. 163-181 - Ruikang Zhong, Yuanwei Liu, Xidong Mu, Yue Chen, Lingyang Song:
AI Empowered RIS-Assisted NOMA Networks: Deep Learning or Reinforcement Learning? 182-196 - Jiawei Shao, Yuyi Mao, Jun Zhang:
Learning Task-Oriented Communication for Edge Inference: An Information Bottleneck Approach. 197-211 - Thien Van Luong, Xiaoyu Zhang, Luping Xiang, Tiep Minh Hoang, Chao Xu, Periklis Petropoulos, Lajos Hanzo:
Deep Learning-Aided Optical IM/DD OFDM Approaches the Throughput of RF-OFDM. 212-226 - Yuxuan Sun, Sheng Zhou, Zhisheng Niu, Deniz Gündüz:
Dynamic Scheduling for Over-the-Air Federated Edge Learning With Energy Constraints. 227-242 - Xianfu Chen, Celimuge Wu, Tao Chen, Zhi Liu, Honggang Zhang, Mehdi Bennis, Hang Liu, Yusheng Ji:
Information Freshness-Aware Task Offloading in Air-Ground Integrated Edge Computing Systems. 243-258 - Xiaoxia Xu, Qimei Chen, Xidong Mu, Yuanwei Liu, Hao Jiang:
Graph-Embedded Multi-Agent Learning for Smart Reconfigurable THz MIMO-NOMA Networks. 259-275 - Fengxiao Tang, Hans Hofner, Nei Kato, Kazuma Kaneko, Yasutaka Yamashita, Masatake Hangai:
A Deep Reinforcement Learning-Based Dynamic Traffic Offloading in Space-Air-Ground Integrated Networks (SAGIN). 276-289 - Kang Wei, Jun Li, Chuan Ma, Ming Ding, Cailian Chen, Shi Jin, Zhu Han, H. Vincent Poor:
Low-Latency Federated Learning Over Wireless Channels With Differential Privacy. 290-307 - Shuoyao Wang, Suzhi Bi, Ying-Jun Angela Zhang:
Deep Reinforcement Learning With Communication Transformer for Adaptive Live Streaming in Wireless Edge Networks. 308-322 - Yanmeng Wang, Yanqing Xu, Qingjiang Shi, Tsung-Hui Chang:
Quantized Federated Learning Under Transmission Delay and Outage Constraints. 323-341 - Xiaowen Cao, Guangxu Zhu, Jie Xu, Zhiqin Wang, Shuguang Cui:
Optimized Power Control Design for Over-the-Air Federated Edge Learning. 342-358 - Jer Shyuan Ng, Wei Yang Bryan Lim, Zehui Xiong, Xianbin Cao, Dusit Niyato, Cyril Leung, Dong In Kim:
A Hierarchical Incentive Design Toward Motivating Participation in Coded Federated Learning. 359-375 - Ying Zheng, Lixiang Lin, Tianqi Zhang, Haoyu Chen, Qingyang Duan, Yuedong Xu, Xin Wang:
Enabling Robust DRL-Driven Networking Systems via Teacher-Student Learning. 376-392 - Zhiyu Mou, Feifei Gao, Jun Liu, Qihui Wu:
Resilient UAV Swarm Communications With Graph Convolutional Neural Network. 393-411 - Xiong Wang, Riheng Jia, Luoyi Fu, Haiming Jin, Xiaohua Tian, Xiaoying Gan, Xinbing Wang:
Online Spatial Crowdsensing With Expertise-Aware Truth Inference and Task Allocation. 412-427 - Dan Tang, Yudong Yan, Siqi Zhang, Jingwen Chen, Zheng Qin:
Performance and Features: Mitigating the Low-Rate TCP-Targeted DoS Attack via SDN. 428-444
Volume 40, Number 2, February 2022
- 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 II. 445-448 - Rajarshi Saha, Stefano Rini, Milind Rao, Andrea J. Goldsmith:
Decentralized Optimization Over Noisy, Rate-Constrained Networks: Achieving Consensus by Communicating Differences. 449-467 - Busra Tegin, Eduin E. Hernandez, Stefano Rini, Tolga M. Duman:
Straggler Mitigation Through Unequal Error Protection for Distributed Approximate Matrix Multiplication. 468-483 - Nguyen Van Huynh, Dinh Thai Hoang, Diep N. Nguyen, Eryk Dutkiewicz:
Joint Coding and Scheduling Optimization for Distributed Learning Over Wireless Edge Networks. 484-498 - Wanyi Ning, Haifeng Sun, Xiaoyuan Fu, Xiang Yang, Qi Qi, Jingyu Wang, Jianxin Liao, Zhu Han:
Following the Correct Direction: Renovating Sparsified SGD Towards Global Optimization in Distributed Edge Learning. 499-514 - Hongli Xu, Min Chen, Zeyu Meng, Yang Xu, Lun Wang, Chunming Qiao:
Decentralized Machine Learning Through Experience-Driven Method in Edge Networks. 515-531 - Raz Paul, Yuval Friedman, Kobi Cohen:
Accelerated Gradient Descent Learning Over Multiple Access Fading Channels. 532-547 - Chuan-Zheng Lee, Leighton Pate Barnes, Ayfer Özgür:
Over-the-Air Statistical Estimation. 548-561 - Dongzhu Liu, Osvaldo Simeone:
Channel-Driven Monte Carlo Sampling for Bayesian Distributed Learning in Wireless Data Centers. 562-577 - Lingjun Pu, Xinjing Yuan, Xiaohang Xu, Xu Chen, Pan Zhou, Jingdong Xu:
Cost-Efficient and Skew-Aware Data Scheduling for Incremental Learning in 5G Networks. 578-595 - Siping Shi, Chuang Hu, Dan Wang, Yifei Zhu, Zhu Han:
Federated Anomaly Analytics for Local Model Poisoning Attack. 596-610 - Shangming Cai, Dongsheng Wang, Haixia Wang, Yongqiang Lyu, Guangquan Xu, Xi Zheng, Athanasios V. Vasilakos:
DynaComm: Accelerating Distributed CNN Training Between Edges and Clouds Through Dynamic Communication Scheduling. 611-625 - Song Wang, Xinyu Zhang, Hiromasa Uchiyama, Hiroki Matsuda:
HiveMind: Towards Cellular Native Machine Learning Model Splitting. 626-640 - Yi-Chen Wu, Che Lin, Tony Q. S. Quek:
A Robust Distributed Hierarchical Online Learning Approach for Dynamic MEC Networks. 641-656 - Yongnan Liu, Xin Guan, Yu Peng, Hongyang Chen, Tomoaki Ohtsuki, Zhu Han:
Blockchain-Based Task Offloading for Edge Computing on Low-Quality Data via Distributed Learning in the Internet of Energy. 657-676 - Ruichen Zhang, Ke Xiong, Yang Lu, Bo Gao, Pingyi Fan, Khaled Ben Letaief:
Joint Coordinated Beamforming and Power Splitting Ratio Optimization in MU-MISO SWIPT-Enabled HetNets: A Multi-Agent DDQN-Based Approach. 677-693 - Ran Zhang, Jiang Liu, Fangqi Liu, Tao Huang, Qinqin Tang, Shangguang Wang, F. Richard Yu:
Buffer-Aware Virtual Reality Video Streaming With Personalized and Private Viewport Prediction. 694-709 - Xiaonan Liu, Yansha Deng, Chong Han, Marco Di Renzo:
Learning-Based Prediction, Rendering and Transmission for Interactive Virtual Reality in RIS-Assisted Terahertz Networks. 710-724
Volume 40, Number 3, March 2022
- Sennur Ulukus, Salman Avestimehr, Michael Gastpar, Syed Ali Jafar, Ravi Tandon, Chao Tian:
Privacy in Retrieval, Computing, and Learning. 725-728 - Sennur Ulukus, Salman Avestimehr, Michael Gastpar, Syed Ali Jafar, Ravi Tandon, Chao Tian:
Private Retrieval, Computing, and Learning: Recent Progress and Future Challenges. 729-748 - Shengheng Liu, Chong Zheng, Yongming Huang, Tony Q. S. Quek:
Distributed Reinforcement Learning for Privacy-Preserving Dynamic Edge Caching. 749-760 - Birenjith Sasidharan, Anoop Thomas:
Coded Gradient Aggregation: A Tradeoff Between Communication Costs at Edge Nodes and at Helper Nodes. 761-772 - Tan Li, Linqi Song:
Privacy-Preserving Communication-Efficient Federated Multi-Armed Bandits. 773-787 - Reent Schlegel, Siddhartha Kumar, Eirik Rosnes, Alexandre Graell i Amat:
Privacy-Preserving Coded Mobile Edge Computing for Low-Latency Distributed Inference. 788-799 - Carolina Naim, Rafael G. L. D'Oliveira, Salim El Rouayheb:
Private Multi-Group Aggregation. 800-814 - Jinbao Zhu, Qifa Yan, Xiaohu Tang:
Multi-User Blind Symmetric Private Information Retrieval From Coded Servers. 815-831 - Yauhen Yakimenka, Hsuan-Yin Lin, Eirik Rosnes, Jörg Kliewer:
Optimal Rate-Distortion-Leakage Tradeoff for Single-Server Information Retrieval. 832-846 - Sarah A. Obead, Hsuan-Yin Lin, Eirik Rosnes, Jörg Kliewer:
Private Linear Computation for Noncolluding Coded Databases. 847-861 - Amitalok J. Budkuley, Pranav Joshi, Manideep Mamindlapally, Anuj Kumar Yadav:
On Reverse Elastic Channels and the Asymmetry of Commitment Capacity Under Channel Elasticity. 862-870 - Jie Li, Okko Makkonen, Camilla Hollanti, Oliver W. Gnilke:
Efficient Recovery of a Shared Secret via Cooperation: Applications to SDMM and PIR. 871-884 - Matteo Allaix, Seunghoan Song, Lukas Holzbaur, Tefjol Pllaha, Masahito Hayashi, Camilla Hollanti:
On the Capacity of Quantum Private Information Retrieval From MDS-Coded and Colluding Servers. 885-898 - Anoosheh Heidarzadeh, Nahid Esmati, Alex Sprintson:
Single-Server Private Linear Transformation: The Joint Privacy Case. 899-911 - Kai Wan, Hua Sun, Mingyue Ji, Giuseppe Caire:
On Secure Distributed Linearly Separable Computation. 912-926 - Fangwei Ye, Salim El Rouayheb:
Intermittent Private Information Retrieval With Application to Location Privacy. 927-939 - Mahshad Shariatnasab, Farhad Shirani, Elza Erkip:
Fundamental Privacy Limits in Bipartite Networks Under Active Attacks. 940-954 - Burak Hasircioglu, Jesús Gómez-Vilardebó, Deniz Gündüz:
Bivariate Polynomial Codes for Secure Distributed Matrix Multiplication. 955-967 - Qifa Yan, Daniela Tuninetti:
Robust, Private and Secure Cache-Aided Scalar Linear Function Retrieval From Coded Servers. 968-981 - Mehmet Necip Kurt, Yasin Yilmaz, Xiaodong Wang, Pieter J. Mosterman:
Online Privacy-Preserving Data-Driven Network Anomaly Detection. 982-998 - Seunghoan Song, Masahito Hayashi:
Equivalence of Non-Perfect Secret Sharing and Symmetric Private Information Retrieval With General Access Structure. 999-1012 - Sangwoo Hong, Heecheol Yang, Jungwoo Lee:
Hierarchical Group Testing for Byzantine Attack Identification in Distributed Matrix Multiplication. 1013-1029
Volume 40, Number 4, April 2022
- Yuanwei Liu, Shuowen Zhang, Zhiguo Ding, Robert Schober, Naofal Al-Dhahir, Ekram Hossain, Xuemin Shen:
Special Issue on Next Generation Multiple Access - Part I. 1031-1036 - Yuanwei Liu, Shuowen Zhang, Xidong Mu, Zhiguo Ding, Robert Schober, Naofal Al-Dhahir, Ekram Hossain, Xuemin Shen:
Evolution of NOMA Toward Next Generation Multiple Access (NGMA) for 6G. 1037-1071 - Xinyue Pei, Yingyang Chen, Miaowen Wen, Hua Yu, Erdal Panayirci, H. Vincent Poor:
Next-Generation Multiple Access Based on NOMA With Power Level Modulation. 1072-1083 - Yuan Wang, Jiaheng Wang, Vincent W. S. Wong, Xiaohu You:
Effective Throughput Maximization of NOMA With Practical Modulations. 1084-1100 - Jiawei Wang, Chunxiao Jiang, Linling Kuang:
Iterative NOMA Detection for Multiple Access in Satellite High-Mobility Communications. 1101-1113 - Rui Han, Lin Bai, Weizheng Zhang, Jianwei Liu, Jinho Choi, Wei Zhang:
Variational Inference Based Sparse Signal Detection for Next Generation Multiple Access. 1114-1127 - Shuangyang Li, Zhiqiang Wei, Weijie Yuan, Jinhong Yuan, Baoming Bai, Derrick Wing Kwan Ng, Lajos Hanzo:
Faster-Than-Nyquist Asynchronous NOMA Outperforms Synchronous NOMA. 1128-1145 - Jingze Che, Zhaoyang Zhang, Zhaohui Yang, Xiaoming Chen, Caijun Zhong, Derrick Wing Kwan Ng:
Unsourced Random Massive Access With Beam-Space Tree Decoding. 1146-1161 - Sepehr Rezvani, Eduard A. Jorswieck, Roghayeh Joda, Halim Yanikomeroglu:
Optimal Power Allocation in Downlink Multicarrier NOMA Systems: Theory and Fast Algorithms. 1162-1189 - Yazhou Zhu, Christian A. Hofmann, Andreas Knopp:
Distributed Resource Optimization for NOMA Transmission in Beamforming SATCOM. 1190-1209 - Yaomin Zhang, Haijun Zhang, Huan Zhou, Keping Long, George K. Karagiannidis:
Resource Allocation in Terrestrial-Satellite-Based Next Generation Multiple Access Networks With Interference Cooperation. 1210-1221 - Yan Liu, Yansha Deng, Maged Elkashlan, Arumugam Nallanathan, George K. Karagiannidis:
Optimization of Grant-Free NOMA With Multiple Configured-Grants for mURLLC. 1222-1236 - Jie Mei, Wudan Han, Xianbin Wang, H. Vincent Poor:
Multi-Dimensional Multiple Access With Resource Utilization Cost Awareness for Individualized Service Provisioning in 6G. 1237-1252 - Xuelin Cao, Bo Yang, Chongwen Huang, George C. Alexandropoulos, Chau Yuen, Zhu Han, H. Vincent Poor, Lajos Hanzo:
Massive Access of Static and Mobile Users via Reconfigurable Intelligent Surfaces: Protocol Design and Performance Analysis. 1253-1269 - Mohamed Kadry Elhattab, Mohamed Amine Arfaoui, Chadi Assi, Ali Ghrayeb:
RIS-Assisted Joint Transmission in a Two-Cell Downlink NOMA Cellular System. 1270-1286 - Jingjing Zhao, Lanchenhui Yu, Kaiquan Cai, Yanbo Zhu, Zhu Han:
RIS-Aided Ground-Aerial NOMA Communications: A Distributionally Robust DRL Approach. 1287-1301 - Jian Chen, Liang Guo, Jie Jia, Jianhui Shang, Xingwei Wang:
Resource Allocation for IRS Assisted SGF NOMA Transmission: A MADRL Approach. 1302-1316 - Ruoqi Deng, Boya Di, Hongliang Zhang, Lingyang Song:
HDMA: Holographic-Pattern Division Multiple Access. 1317-1332 - Lu Yin, Jiameng Cao, Qiang Ni, Yuzheng Ma, Song Li:
Design and Performance Analysis of Multi-Scale NOMA for Future Communication-Positioning Integration System. 1333-1345 - Evgeny M. Khorov, Alexey Kureev, Ilya Levitsky, Ian F. Akyildiz:
A Phase Noise Resistant Constellation Rotation Method and Its Experimental Validation for NOMA Wi-Fi. 1346-1354 - Yao Xu, Jie Tang, Bo Li, Nan Zhao, Dusit Niyato, Kai-Kit Wong:
Adaptive Aggregate Transmission for Device-to-Multi-Device Aided Cooperative NOMA Networks. 1355-1370 - Ning Xie, Qihong Zhang, Junjie Chen, Hai-Jun Tan:
Privacy-Preserving Physical-Layer Authentication for Non-Orthogonal Multiple Access Systems. 1371-1385
Volume 40, Number 5, May 2022
- Yuanwei Liu, Shuowen Zhang, Zhiguo Ding, Robert Schober, Naofal Al-Dhahir, Ekram Hossain, Xuemin Shen:
Guest Editorial Special Issue on Next Generation Multiple Access - Part II. 1387-1391 - Tao Jiang, Wei Yu:
Interference Nulling Using Reconfigurable Intelligent Surface. 1392-1406 - Hao Xu, Tianyu Yang, Kai-Kit Wong, Giuseppe Caire:
Achievable Regions and Precoder Designs for the Multiple Access Wiretap Channels With Confidential and Open Messages. 1407-1427 - Xinhua Wang, Alexei Ashikhmin, Zhicheng Dong, Chao Zhai:
Two-Stage Channel Estimation Approach for Cell-Free IoT With Massive Random Access. 1428-1440 - Zhengru Fang, Jingjing Wang, Yong Ren, Zhu Han, H. Vincent Poor, Lajos Hanzo:
Age of Information in Energy Harvesting Aided Massive Multiple Access Networks. 1441-1456 - Jianhao Huang, Han Zhang, Chuan Huang, Lian Yang, Wei Zhang:
Noncoherent Massive Random Access for Inhomogeneous Networks: From Message Passing to Deep Learning. 1457-1472 - Changkun Li, Wei Chen, Khaled B. Letaief:
Achieving Low Latency in Massive Access: A Mean-Field Approach. 1473-1488 - Li Qiao, Jun Zhang, Zhen Gao, Dezhi Zheng, Md. Jahangir Hossain, Yue Gao, Derrick Wing Kwan Ng, Marco Di Renzo:
Joint Activity and Blind Information Detection for UAV-Assisted Massive IoT Access. 1489-1508 - Jiaai Liu, Xiaodong Wang:
Unsourced Multiple Access Based on Sparse Tanner Graph - Efficient Decoding, Analysis, and Optimization. 1509-1521 - Alexander Fengler, Osman Musa, Peter Jung, Giuseppe Caire:
Pilot-Based Unsourced Random Access With a Massive MIMO Receiver, Interference Cancellation, and Power Control. 1522-1534 - Tianya Li, Yongpeng Wu, Mengfan Zheng, Wenjun Zhang, Chengwen Xing, Jianping An, Xiang-Gen Xia, Chengshan Xiao:
Joint Device Detection, Channel Estimation, and Data Decoding With Collision Resolution for MIMO Massive Unsourced Random Access. 1535-1555 - Sheng Yue, Ju Ren, Jiang Xin, Deyu Zhang, Yaoxue Zhang, Weihua Zhuang:
Efficient Federated Meta-Learning Over Multi-Access Wireless Networks. 1556-1570 - Xiaowen Cao, Guangxu Zhu, Jie Xu, Shuguang Cui:
Transmission Power Control for Over-the-Air Federated Averaging at Network Edge. 1571-1586 - Ziyang Guo, Zhenyu Chen, Peng Liu, Jianjun Luo, Xun Yang, Xinghua Sun:
Multi-Agent Reinforcement Learning-Based Distributed Channel Access for Next Generation Wireless Networks. 1587-1599 - Yaru Fu, Yue Zhang, Qi Zhu, Mingzhe Chen, Tony Q. S. Quek:
Joint Content Caching, Recommendation, and Transmission Optimization for Next Generation Multiple Access Networks. 1600-1614 - Han Xiao, Changqiao Xu, Zichen Feng, Renjie Ding, Shujie Yang, Lujie Zhong, Jie Liang, Gabriel-Miro Muntean:
A Transcoding-Enabled 360° VR Video Caching and Delivery Framework for Edge-Enhanced Next-Generation Wireless Networks. 1615-1631 - Shahram Shahsavari, Farhad Shirani, Mohammad Ali Khojastepour, Elza Erkip:
Opportunistic Temporal Fair Mode Selection and User Scheduling in Full-Duplex Systems. 1632-1651 - Mingfeng Huang, Victor C. M. Leung, Anfeng Liu, Neal N. Xiong:
TMA-DPSO: Towards Efficient Multi-Task Allocation With Time Constraints for Next Generation Multiple Access. 1652-1666 - Hiroaki Hashida, Yuichi Kawamoto, Nei Kato, Masashi Iwabuchi, Tomoki Murakami:
Mobility-Aware User Association Strategy for IRS-Aided mm-Wave Multibeam Transmission Towards 6G. 1667-1678