Journal: IEEE Trans. Cogn. Comm. & Networking

Volume 7, Issue 1

1 -- 4Chunxiao Jiang, Guoru Ding, Aly El Gamal, Andrea Zanella, Oliver Holland, Tim O'Shea. IEEE TCCN Special Section Editorial: Machine Learning and Artificial Intelligence for the Physical Layer
5 -- 20Shilian Zheng, Shichuan Chen, Xiaoniu Yang. DeepReceiver: A Deep Learning-Based Intelligent Receiver for Wireless Communications in the Physical Layer
21 -- 33Peihan Qi, Xiaoyu Zhou, Shilian Zheng, Zan Li. Automatic Modulation Classification Based on Deep Residual Networks With Multimodal Information
34 -- 46Yun Lin 0005, Ya Tu, Zheng Dou, Lei Chen 0029, Shiwen Mao. Contour Stella Image and Deep Learning for Signal Recognition in the Physical Layer
47 -- 58Liang Huang 0006, You Zhang, Weijian Pan, Jinyin Chen, Li Ping Qian 0001, Yuan Wu 0001. Visualizing Deep Learning-Based Radio Modulation Classifier
59 -- 72Samer S. Hanna, Samurdhi Karunaratne, Danijela Cabric. Open Set Wireless Transmitter Authorization: Deep Learning Approaches and Dataset Considerations
73 -- 84Liang Wang, Kezhi Wang, Cunhua Pan, Wei Xu 0001, Nauman Aslam, Lajos Hanzo. Multi-Agent Deep Reinforcement Learning-Based Trajectory Planning for Multi-UAV Assisted Mobile Edge Computing
85 -- 99Zehui Xiong, Yang Zhang 0025, Wei Yang Bryan Lim, Jiawen Kang, Dusit Niyato, Cyril Leung, Chunyan Miao. UAV-Assisted Wireless Energy and Data Transfer With Deep Reinforcement Learning
100 -- 109Jiaxing Wang, Rui Han 0002, Lin Bai 0001, Tao Zhang, Jianwei Liu 0001, Jinho Choi 0001. Coordinated Beamforming for UAV-Aided Millimeter-Wave Communications Using GPML-Based Channel Estimation
110 -- 119Xin-Lin Huang, Yu-Xuan Li, Yu Gao, Xiaowei Tang. Q-Learning-Based Spectrum Access for Multimedia Transmission Over Cognitive Radio Networks
120 -- 132Shaocheng Huang 0001, Yu Ye, Ming Xiao. Learning-Based Hybrid Beamforming Design for Full-Duplex Millimeter Wave Systems
133 -- 144Han Zhang 0006, Ruisi He, Bo Ai, Shuguang Cui, Haoxiang Zhang. Measuring Sparsity of Wireless Channels
145 -- 156Tianyu Hu, Yang Huang 0001, Qiuming Zhu, QiHui Wu. Channel Estimation Enhancement With Generative Adversarial Networks
157 -- 170Wei Li 0059, Xiuzhen Cheng, Zhi Tian, Shengling Wang 0001, Rongfang Bie, Jiguo Yu. Truthful Auction Analysis and Design in Multiunit Heterogenous Spectrum Markets With Reserve Prices
171 -- 183Shu-Feng Cheng, Li-Chun Wang 0001, Chien-Hwa Hwang, Ju-Ya Chen, Li-Yu Cheng. On-Device Cognitive Spectrum Allocation for Coexisting URLLC and eMBB Users in 5G Systems
184 -- 196Weichao Gao, Anirudha Sahoo. Performance Impact of Coexistence Groups in a GAA-GAA Coexistence Scheme in the CBRS Band
197 -- 209Hangqi Li, Xiaohui Zhao 0004. Throughput Maximization With Energy Harvesting in UAV-Assisted Cognitive Mobile Relay Networks
210 -- 221Jian Jiao 0001, Kexin Liang, Bowen Feng, Ye Wang 0002, Shaohua Wu, Qinyu Zhang. Joint Channel Estimation and Decoding for Polar Coded SCMA System Over Fading Channels
222 -- 238Haitham Khaled, Iftekhar Ahmad, Daryoush Habibi, Quoc Viet Phung. A Green Traffic Steering Solution for Next Generation Communication Networks
239 -- 254Alireza Nooraiepour, Waheed U. Bajwa, Narayan B. Mandayam. Learning-Aided Physical Layer Attacks Against Multicarrier Communications in IoT
255 -- 264Ahmet M. Elbir, Kumar Vijay Mishra. Sparse Array Selection Across Arbitrary Sensor Geometries With Deep Transfer Learning
265 -- 278Dongzhu Liu, Guangxu Zhu, Jun Zhang 0004, Kaibin Huang. Data-Importance Aware User Scheduling for Communication-Efficient Edge Machine Learning
279 -- 293Saeed Ghoorchian, Setareh Maghsudi. Multi-Armed Bandit for Energy-Efficient and Delay-Sensitive Edge Computing in Dynamic Networks With Uncertainty
294 -- 303Yi Shi 0001, Kemal Davaslioglu, Yalin E. Sagduyu. Generative Adversarial Network in the Air: Deep Adversarial Learning for Wireless Signal Spoofing
304 -- 318Junling Li, Weisen Shi, Ning Zhang 0007, Xuemin Shen. Delay-Aware VNF Scheduling: A Reinforcement Learning Approach With Variable Action Set
319 -- 335Alia Asheralieva, Dusit Niyato. Bayesian Reinforcement Learning and Bayesian Deep Learning for Blockchains With Mobile Edge Computing