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ORCIDIEEE Transactions on Cognitive Communications and Networking, Volume 8
Volume 8, Number 1, March 2022
- Nandi Zhang
, Marvin A. Sirbu, Jon M. Peha:
Multi-Network Access in 5G: Economies of Scale, Without the Scale. 1-12 - Lide Xue, Wei Yang, Weilin Chen, Liusheng Huang:
STBC: A Novel Blockchain-Based Spectrum Trading Solution. 13-30 - Keyu Wu, Hai Jiang, Chintha Tellambura:
Cooperative Sensing With Heterogeneous Spectrum Availability in Cognitive Radio. 31-46 - Yongwei Zhang, Shunchao Zhang, Yonghua Wang, Jiawei Zhuang, Pin Wan:
Riemannian Mean Shift-Based Data Fusion Scheme for Multi-Antenna Cooperative Spectrum Sensing. 47-56 - Xue Fu, Guan Gui, Yu Wang, Tomoaki Ohtsuki, Bamidele Adebisi, Haris Gacanin, Fumiyuki Adachi:
Lightweight Automatic Modulation Classification Based on Decentralized Learning. 57-70 - Rajeev Sahay, Christopher G. Brinton, David J. Love:
A Deep Ensemble-Based Wireless Receiver Architecture for Mitigating Adversarial Attacks in Automatic Modulation Classification. 71-85 - Yu Wang, Guan Gui, Haris Gacanin, Bamidele Adebisi, Hikmet Sari, Fumiyuki Adachi:
Federated Learning for Automatic Modulation Classification Under Class Imbalance and Varying Noise Condition. 86-96 - Hao Zhang, Fuhui Zhou, Qihui Wu, Wei Wu, Rose Qingyang Hu:
A Novel Automatic Modulation Classification Scheme Based on Multi-Scale Networks. 97-110 - Sanjoy Basak, Sreeraj Rajendran, Sofie Pollin, Bart Scheers:
Combined RF-Based Drone Detection and Classification. 111-120 - Jialiang Gong, Xiaowei Qin, Xiaodong Xu:
Multi-Task Based Deep Learning Approach for Open-Set Wireless Signal Identification in ISM Band. 121-135 - Rongkun Jiang, Zesong Fei, Shan Cao, Chengbo Xue, Ming Zeng, Qingqing Tang, Shiwei Ren:
Deep Learning-Aided Signal Detection for Two-Stage Index Modulated Universal Filtered Multi-Carrier Systems. 136-154 - Haotian Zhang, Lin Zhang, Julian Cheng, Yuan Jiang, Zhiqiang Wu:
An Intelligent Detection Based on Deep Learning for Multilevel Code Shifted Differential Chaos Shift Keying System With M-ary Modulation. 155-169 - Xuewen Wu, Jingxiao Ma, Zhe Xing, Chenwei Gu, Xiaoping Xue, Xin Zeng:
Secure and Energy Efficient Transmission for IRS-Assisted Cognitive Radio Networks. 170-185 - Lei Zhang, Cunhua Pan, Yu Wang, Hong Ren, Kezhi Wang:
Robust Beamforming Design for Intelligent Reflecting Surface Aided Cognitive Radio Systems With Imperfect Cascaded CSI. 186-201 - Yazheng Wang, Hancheng Lu, Dan Zhao, Yansha Deng, Arumugam Nallanathan:
Intelligent Reflecting Surface-Assisted mmWave Communication With Lens Antenna Array. 202-215 - Xiao Lu, Ping Wang, Guangxia Li, Dusit Niyato, Zhengwei Li:
Short-Packet Backscatter Assisted Wireless-Powered Relaying With NOMA: Mode Selection With Performance Estimation. 216-231 - Masao Shinzaki, Yusuke Koda, Koji Yamamoto, Takayuki Nishio, Masahiro Morikura, Yushi Shirato, Daisei Uchida, Naoki Kita:
Zero-Shot Adaptation for mmWave Beam-Tracking on Overhead Messenger Wires Through Robust Adversarial Reinforcement Learning. 232-245 - Vibhum Singh, Prabhat K. Upadhyay:
Exploiting FD/HD Cooperative-NOMA in Underlay Cognitive Hybrid Satellite-Terrestrial Networks. 246-262 - Sultangali Arzykulov, Abdulkadir Celik, Galymzhan Nauryzbayev, Ahmed M. Eltawil:
UAV-Assisted Cooperative & Cognitive NOMA: Deployment, Clustering, and Resource Allocation. 263-281 - Haoran Peng, Ang-Hsun Tsai, Li-Chun Wang, Zhu Han:
LEOPARD: Parallel Optimal Deep Echo State Network Prediction Improves Service Coverage for UAV-Assisted Outdoor Hotspots. 282-295 - Sina Khoshabi Nobar, Mohamed Hossam Ahmed, Yasser Morgan, Samy A. Mahmoud:
Resource Allocation in Cognitive Radio-Enabled UAV Communication. 296-310 - Mounssif Krouka, Anis Elgabli, Chaouki Ben Issaid, Mehdi Bennis:
Communication-Efficient and Federated Multi-Agent Reinforcement Learning. 311-320 - Sharda Tripathi, Corrado Puligheddu, Carla-Fabiana Chiasserini, Federico Mungari:
A Context-Aware Radio Resource Management in Heterogeneous Virtual RANs. 321-334 - Flor G. Ortiz-Gomez, Daniele Tarchi, Ramón Martínez, Alessandro Vanelli-Coralli, Miguel Alejandro Salas-Natera, Salvador Landeros-Ayala:
Cooperative Multi-Agent Deep Reinforcement Learning for Resource Management in Full Flexible VHTS Systems. 335-349 - Zhao Chen, Lei Zhang, Yukui Pei, Chunxiao Jiang, Liuguo Yin:
NOMA-Based Multi-User Mobile Edge Computation Offloading via Cooperative Multi-Agent Deep Reinforcement Learning. 350-364 - Om Jee Pandey, Tankala Yuvaraj, Joseph K. Paul, Ha H. Nguyen, Karthikay Gundepudi, Mahendra Kumar Shukla:
Improving Energy Efficiency and QoS of LPWANs for IoT Using Q-Learning Based Data Routing. 365-379 - Xiaoqian Li, Siyu Chen, Yakun Zhou, Jienan Chen, Gang Feng:
Intelligent Service Migration Based on Hidden State Inference for Mobile Edge Computing. 380-393 - Jun Yu, Rui Wang, Jun Wu:
QoS-Driven Resource Optimization for Intelligent Fog Radio Access Network: A Dynamic Power Allocation Perspective. 394-407 - Afaf Taïk, Zoubeir Mlika, Soumaya Cherkaoui:
Data-Aware Device Scheduling for Federated Edge Learning. 408-421 - Amin Shahraki, Mahmoud Abbasi, Amir Taherkordi, Anca Delia Jurcut:
Active Learning for Network Traffic Classification: A Technical Study. 422-439
Volume 8, Number 2, June 2022
- Tiep Minh Hoang, Dong Liu, Thien Van Luong, Jian-Kang Zhang, Lajos Hanzo:
Deep Learning Aided Physical-Layer Security: The Security Versus Reliability Trade-Off. 442-453 - Daofeng Li, Yamei Xu, Ming Zhao, Jinkang Zhu, Sihai Zhang:
Knowledge-Driven Machine Learning and Applications in Wireless Communications. 454-467 - Rangeet Mitra, Georges Kaddoum:
Random Fourier Feature-Based Deep Learning for Wireless Communications. 468-479 - Ender Ayanoglu, Kemal Davaslioglu, Yalin E. Sagduyu:
Machine Learning in NextG Networks via Generative Adversarial Networks. 480-501 - Xiangyu Ren, Hamed Mosavat-Jahromi, Lin Cai, David Kidston:
Spatio-Temporal Spectrum Load Prediction Using Convolutional Neural Network and ResNet. 502-513 - Bharath Keshavamurthy, Nicolò Michelusi:
Learning-Based Spectrum Sensing and Access in Cognitive Radios via Approximate POMDPs. 514-528 - Zhuangzhi Chen, Hui Cui, Jingyang Xiang, Kunfeng Qiu, Liang Huang, Shilian Zheng, Shichuan Chen, Qi Xuan, Xiaoniu Yang:
SigNet: A Novel Deep Learning Framework for Radio Signal Classification. 529-541 - Erma Perenda, Sreeraj Rajendran, Gérôme Bovet, Sofie Pollin, Mariya Zheleva:
Evolutionary Optimization of Residual Neural Network Architectures for Modulation Classification. 542-556 - Pengyu Wang, Yufan Cheng, Qihang Peng, Binhong Dong, Shaoqian Li:
Low-Bitwidth Convolutional Neural Networks for Wireless Interference Identification. 557-569 - Muhammad Umar Bin Farooq, Marvin Manalastas, Waseem Raza, Syed Muhammad Asad Zaidi, Ali Rizwan, Adnan A. Abu-Dayya, Ali Imran:
A Data-Driven Self-Optimization Solution for Inter-Frequency Mobility Parameters in Emerging Networks. 570-583 - Mingyu Yang, Chenghong Bian, Hun-Seok Kim:
OFDM-Guided Deep Joint Source Channel Coding for Wireless Multipath Fading Channels. 584-599 - Chao Xu, Thien Van Luong, Luping Xiang, Shinya Sugiura, Robert G. Maunder, Lie-Liang Yang, Lajos Hanzo:
Turbo Detection Aided Autoencoder for Multicarrier Wireless Systems: Integrating Deep Learning Into Channel Coded Systems. 600-614 - Ankit Gupta, Mathini Sellathurai:
A Novel Average Autoencoder-Based Amplify-and-Forward Relay Networks With Hardware Impairments. 615-630 - Hao Jiang, Shuangkaisheng Bi, Linglong Dai, Hao Wang, Jiankun Zhang:
Residual-Aided End-to-End Learning of Communication System Without Known Channel. 631-641 - Ahmet M. Elbir, Kumar Vijay Mishra, M. R. Bhavani Shankar, Björn E. Ottersten:
A Family of Deep Learning Architectures for Channel Estimation and Hybrid Beamforming in Multi-Carrier mm-Wave Massive MIMO. 642-656 - Antonio Melgar, Alejandro de la Fuente, Leopoldo Carro-Calvo, Óscar Barquero-Pérez, Eduardo Morgado:
Deep Neural Network: An Alternative to Traditional Channel Estimators in Massive MIMO Systems. 657-671 - Guanghui Fan, Jinlong Sun, Guan Gui, Haris Gacanin, Bamidele Adebisi, Tomoaki Ohtsuki:
Fully Convolutional Neural Network-Based CSI Limited Feedback for FDD Massive MIMO Systems. 672-682 - Xutong Zhang, Guoru Ding, Jie Li, Wei Wang, Qihui Wu:
Deep Learning Empowered MAC Protocol Identification With Squeeze-and-Excitation Networks. 683-693 - Wangyang Xu, Lu Gan, Chongwen Huang:
A Robust Deep Learning-Based Beamforming Design for RIS-Assisted Multiuser MISO Communications With Practical Constraints. 694-706 - B. R. Manoj, Meysam Sadeghi, Erik G. Larsson:
Downlink Power Allocation in Massive MIMO via Deep Learning: Adversarial Attacks and Training. 707-719 - Jun Liu, Kai Mei, Xiaochen Zhang, Desmond C. McLernon, Dongtang Ma, Jibo Wei, Syed Ali Raza Zaidi:
Fine Timing and Frequency Synchronization for MIMO-OFDM: An Extreme Learning Approach. 720-732 - Brian W. Stevens, Jacob Ray, Eric Daugherty, Jared S. Everett, Yongwen Yang, Mohamed F. Younis:
Cognitive Resource Analyzer for Cellular Network Ecosystems. 733-749 - Murat Temiz, Emad Alsusa, Mohammed W. Baidas:
A Dual-Function Massive MIMO Uplink OFDM Communication and Radar Architecture. 750-762 - Nikolaus Kleber, Jonathan D. Chisum, Bertrand M. Hochwald, J. Nicholas Laneman:
Three-Dimensional RF Sensor Networks for Widespread Spectrum Monitoring. 763-777 - Nikolaus Kleber, Martin Haenggi, Jonathan D. Chisum, Bertrand M. Hochwald, J. Nicholas Laneman:
Directivity in RF Sensor Networks for Widespread Spectrum Monitoring. 778-792 - Zeliang An, Tianqi Zhang, Ming Shen, Elisabeth de Carvalho, Baoze Ma, Chen Yi, Tiecheng Song:
Series-Constellation Feature Based Blind Modulation Recognition for Beyond 5G MIMO-OFDM Systems With Channel Fading. 793-811 - Andrea Bonfante, Lorenzo Galati-Giordano, Irene Macaluso, Nicola Marchetti:
Performance of Predictive Indoor mmWave Networks With Dynamic Blockers. 812-827 - Kehan Li, Chao Li, Baosheng Yu, Zhangchong Shen, Qiming Zhang, Shibo He, Jiming Chen:
Model and Transfer Spatial-Temporal Knowledge for Fine-Grained Radio Map Reconstruction. 828-841 - Li-Hsin Yang, Guu-Chang Yang, Wing C. Kwong:
New Asynchronous Channel-Hopping Sequences for Cognitive-Radio Wireless Networks. 842-855 - Yuze Zou, Yusi Long, Shimin Gong, Dinh Thai Hoang, Wei Liu, Wenqing Cheng, Dusit Niyato:
Robust Beamforming Optimization for Self-Sustainable Intelligent Reflecting Surface Assisted Wireless Networks. 856-870 - Anand Jee, Komal Janghel, Shankar Prakriya:
Performance of Adaptive Multi-User Underlay NOMA Transmission With Simple User Selection. 871-887 - Ali Krayani, Atm Shafiul Alam, Lucio Marcenaro, Arumugam Nallanathan, Carlo S. Regazzoni:
An Emergent Self-Awareness Module for Physical Layer Security in Cognitive UAV Radios. 888-906 - Mustafa Özger, Ecehan B. Pehlivanoglu, Özgür B. Akan:
Energy-Efficient Transmission Range and Duration for Cognitive Radio Sensor Networks. 907-918 - Quang-Nhat Tran, Nguyen-Son Vo, Minh-Phung Bui, Thanh-Minh Phan, Quynh-Anh Nguyen, Trung Q. Duong:
Spectrum Sharing and Power Allocation Optimised Multihop Multipath D2D Video Delivery in Beyond 5G Networks. 919-930 - Yuanyuan Ma, Tiejun Lv, Han Liu, Tingting Li, Jie Zeng, Gaofeng Pan:
Secrecy Outage Analysis of CR-SWIPT Networks With Artificial Noise and Spatially Random Secondary Terminals. 931-945 - Zhanghua Cao, Xiaodong Ji, Jue Wang, Wei Wang, Kanapathippillai Cumanan, Zhiguo Ding, Octavia A. Dobre:
Artificial Noise Aided Secure Communications for Cooperative NOMA Networks. 946-963 - Yuhan Ruan, Yongzhao Li, Rui Zhang, Lijuan Jiang:
Energy Efficient Power Control for Cognitive Multibeam-Satellite Terrestrial Networks With Poisson Distributed Users. 964-974 - Baoshan Lu, Shijun Lin, Jianghong Shi:
Three-Dimensional Resource Matching for Internet of Things Underlaying Cognitive Capacity Harvesting Networks. 975-988 - Arifa Ahmed, Deepak Mishra, Ganesh Prasad, Krishna Lal Baishnab:
Cognitive Radio Timing Protocol for Interference-Constrained Throughput Maximization. 989-1004 - Jahnvi Tiwari, Arun Prakash, Rajeev Tripathi, Kshirasagar Naik:
A Fair and Cooperative MAC Protocol for Heterogeneous Cognitive Radio Enabled Vehicular Ad-Hoc Networks. 1005-1018 - Saifur Rahman Sabuj, Derek Kwaku Pobi Asiedu, Kyoung-Jae Lee, Han-Shin Jo:
Delay Optimization in Mobile Edge Computing: Cognitive UAV-Assisted eMBB and mMTC Services. 1019-1033 - Houming Qiu, Kun Zhu, Nguyen Cong Luong, Changyan Yi, Dusit Niyato, Dong In Kim:
Applications of Auction and Mechanism Design in Edge Computing: A Survey. 1034-1058 - Songyuan Li, Jiwei Huang, Jia Hu, Bo Cheng:
QoE-DEER: A QoE-Aware Decentralized Resource Allocation Scheme for Edge Computing. 1059-1073 - Amir Alipour-Fanid, Monireh Dabaghchian, Raman Arora, Kai Zeng:
Multiuser Scheduling in Centralized Cognitive Radio Networks: A Multi-Armed Bandit Approach. 1074-1091 - Tao Fang, Dan Wu, Jiaxin Chen, Dianxiong Liu:
Cooperative Task Offloading and Content Delivery for Heterogeneous Demands: A Matching Game-Theoretic Approach. 1092-1103 - Dawei Wang, Fuhui Zhou, Wensheng Lin, Zhiguo Ding, Naofal Al-Dhahir:
Cooperative Hybrid Nonorthogonal Multiple Access-Based Mobile-Edge Computing in Cognitive Radio Networks. 1104-1117 - Jialin Zhang, Wei Liang, Bo Yang, Huaguang Shi, Ke Wang, Qi Wang:
A Potential Game Approach for Decentralized Resource Coordination in Coexisting IWNs. 1118-1130 - Sina Shaham, Shuping Dang, Miaowen Wen, Shahid Mumtaz, Varun G. Menon, Chengzhong Li:
Enabling Cooperative Relay Selection by Transfer Learning for the Industrial Internet of Things. 1131-1146 - Raja Karmakar, Georges Kaddoum, Samiran Chattopadhyay:
SmartCon: Deep Probabilistic Learning-Based Intelligent Link-Configuration in Narrowband-IoT Toward 5G and B5G. 1147-1158 - Minsig Han, Hanchang Seo, Ameha Tsegaye Abebe, Chung Gu Kang:
Deep Learning-Based Codebook Design for Code-Domain Non-Orthogonal Multiple Access: Approaching Single-User Bit-Error Rate Performance. 1159-1173 - Hasan Albinsaid, Keshav Singh, Sudip Biswas, Chih-Peng Li:
Multi-Agent Reinforcement Learning-Based Distributed Dynamic Spectrum Access. 1174-1185 - Firas Fredj, Yasser F. Al-Eryani, Setareh Maghsudi, Mohamed Akrout, Ekram Hossain:
Distributed Beamforming Techniques for Cell-Free Wireless Networks Using Deep Reinforcement Learning. 1186-1201 - Yitong Liu, Yubo Shen, Zhe Lyu, Yanping Liang, Wei He, Yuehong Gao, Hongwen Yang, Li Yu:
Real-Time 3-D MIMO Antenna Tuning With Deep Reinforcement Learning. 1202-1215 - Shaoai Guo, Xiaohui Zhao:
Deep Reinforcement Learning Optimal Transmission Algorithm for Cognitive Internet of Things With RF Energy Harvesting. 1216-1227 - Omar Alhussein, Weihua Zhuang:
Dynamic Topology Design of NFV-Enabled Services Using Deep Reinforcement Learning. 1228-1238 - Wei Jiang, Daquan Feng, Yao Sun, Gang Feng, Zhenzhong Wang, Xiang-Gen Xia:
Proactive Content Caching Based on Actor-Critic Reinforcement Learning for Mobile Edge Networks. 1239-1252 - Xizixiang Wei, Cong Shen:
Federated Learning Over Noisy Channels: Convergence Analysis and Design Examples. 1253-1268 - Tianjian Dong, Zirui Zhuang, Qi Qi, Jingyu Wang, Haifeng Sun, F. Richard Yu, Tao Sun, Cheng Zhou, Jianxin Liao:
Intelligent Joint Network Slicing and Routing via GCN-Powered Multi-Task Deep Reinforcement Learning. 1269-1286 - Mhd Saria Allahham, Alaa Awad Abdellatif, Naram Mhaisen, Amr Mohamed, Aiman Erbad, Mohsen Guizani:
Multi-Agent Reinforcement Learning for Network Selection and Resource Allocation in Heterogeneous Multi-RAT Networks. 1287-1300 - Pengfei Wang, Boya Di, Lingyang Song, Nicholas R. Jennings:
Multi-Layer Computation Offloading in Distributed Heterogeneous Mobile Edge Computing Networks. 1301-1315
Volume 8, Number 3, September 2022
- Adriana Arteaga, Sandra Céspedes, Cesar A. Azurdia-Meza:
Toward the Coexistence of Cognitive Networks for Vehicular Communications on TVWS for IEEE Std. 802.22. 1316-1331 - Elaheh Ataeebojd, Mehdi Rasti, Hossein Pedram, Pedro H. J. Nardelli:
Spectrum Sharing Among Multiple-Seller and Multiple-Buyer Operators of a Mobile Network: A Stochastic Geometry Approach. 1332-1347 - Jingjing Cai, Fengming Gan, Xianghai Cao, Wei Liu:
Signal Modulation Classification Based on the Transformer Network. 1348-1357 - Zhi Liang, Mingliang Tao, Jian Xie, Xin Yang, Ling Wang:
A Radio Signal Recognition Approach Based on Complex-Valued CNN and Self-Attention Mechanism. 1358-1373 - Xixi Zhang, Haitao Zhao, Hongbo Zhu, Bamidele Adebisi, Guan Gui, Haris Gacanin, Fumiyuki Adachi:
NAS-AMR: Neural Architecture Search-Based Automatic Modulation Recognition for Integrated Sensing and Communication Systems. 1374-1386 - Zixuan Zhang, Fulai Liu, Juan Sheng, Caimei Huang, Baozhu Shi:
Index Modulation Recognition Based on Projection Residual Analysis. 1387-1398 - Fei Wei, Shilian Zheng, Xiaoyu Zhou, Luxin Zhang, Caiyi Lou, Zhijin Zhao, Xiaoniu Yang:
Detection of Direct Sequence Spread Spectrum Signals Based on Deep Learning. 1399-1410 - Asif Ahmed Sardar, Dibbendu Roy, Washim Uddin Mondal, Goutam Das:
Sustainability Analysis of Opportunistic CR-IoT Network Employing Microwave Power Transfer. 1411-1421 - Meiling Li, Hu Yuan, Carsten Maple, Ying Li, Osama Alluhaibi:
Security Outage Probability Analysis of Cognitive Networks With Multiple Eavesdroppers for Industrial Internet of Things. 1422-1433 - Sutanu Ghosh, Tamaghna Acharya, Santi P. Maity:
Outage Analysis in SWIPT Enabled Cooperative AF/DF Relay Assisted Two-Way Spectrum Sharing Communication. 1434-1443 - Weidong Wang, Lu Gan:
Radio Frequency Fingerprinting Improved by Statistical Noise Reduction. 1444-1452 - Yichi Zhang, Haitao Zhao, Jibo Wei, Jiao Zhang, Mark F. Flanagan, Jun Xiong:
Context-Based Semantic Communication via Dynamic Programming. 1453-1467 - Dibbendu Roy, Aravinda S. Rao, Tansu Alpcan, Goutam Das, Marimuthu Palaniswami:
Achieving AI-Enabled Robust End-to-End Quality of Experience Over Backhaul Radio Access Networks. 1468-1481 - Enukonda Venkata Pothan, Salil Kashyap:
Massive MIMO-Based Underlay Spectrum Access Under Incomplete and/or Imperfect Channel State Information. 1482-1496 - Abbass Nasser, Hussein Al Haj Hassan, Ali Mansour, Koffi Clément Yao, Loutfi Nuaymi:
Intelligent Reflecting Surfaces and Spectrum Sensing for Cognitive Radio Networks. 1497-1511 - Yihang Du, Xiaoqiang Qiao, Yu Zhang, Lei Xue, Tao Zhang, Pengfei Ma, Chun Chen:
Interference-Aware Spectrum Resource Management in Dynamic Environment: Strategic Learning With Higher-Order Statistic Optimization. 1512-1528 - Ahmet M. Elbir, Sinem Coleri, Anastasios K. Papazafeiropoulos, Pandelis Kourtessis, Symeon Chatzinotas:
A Hybrid Architecture for Federated and Centralized Learning. 1529-1542 - Mingjun Dai, Ziying Zheng, Zhaoyan Hong, Shengli Zhang, Hui Wang:
Edge Computing-Aided Coded Vertical Federated Linear Regression. 1543-1551 - Yufei An, Ying He, F. Richard Yu, Jianqiang Li, Jianyong Chen, Victor C. M. Leung:
An HTTP Anomaly Detection Architecture Based on the Internet of Intelligence. 1552-1565 - Xuezhen Tu, Kun Zhu, Nguyen Cong Luong, Dusit Niyato, Yang Zhang, Juan Li:
Incentive Mechanisms for Federated Learning: From Economic and Game Theoretic Perspective. 1566-1593
Volume 8, Number 4, December 2022
- Shengshi Yao, Kai Niu, Sixian Wang, Jincheng Dai:
Semantic Coding for Text Transmission: An Iterative Design. 1594-1603 - Miguel López-Benítez, Mohammed M. Alammar:
Accurate Automatic Extraction of Signal Components From Noisy Radio Spectrograms. 1604-1617 - Yuepei Li, Yuan Ding, Junqing Zhang, George Goussetis, Symon K. Podilchak:
Radio Frequency Fingerprinting Exploiting Non-Linear Memory Effect. 1618-1631 - Liyang Lu, Wenbo Xu, Yue Wang, Zhi Tian:
Supervised Dictionary Learning for Block Threshold Feature in Compressive Spectrum Sensing. 1632-1646 - Zhenjia Chen, Lihui Wang, Yonghui Zhang:
Blockchain Structure Electromagnetic Spectrum Database in Distributed Cognitive Radio Monitoring System. 1647-1664 - Marie-Line Alberi-Morel, Illyyne Saffar, Kamal Deep Singh, Sid Ali Hamideche, César Viho:
Improving User Environment Detection Using Context-Aware Multi-Task Deep Learning in Mobile Networks. 1665-1676 - Xiaoling Yang, Lin Zhang, Yan Feng, Zhiqiang Wu:
A Residual CNN-Based Denoiser for Reliable Recovery of Bit Stream With Applications to Soft Channel Decoding. 1677-1688 - Ying Kang, Hao Wu, Zhihua Zhao, Yaxing Li, Jin Meng:
DL-Based Anomaly Detection at the Physical-Layer of Cognitive Radio by Deep Support Vector Data Description. 1689-1705 - Washim Uddin Mondal, Praful D. Mankar, Goutam Das, Vaneet Aggarwal, Satish V. Ukkusuri:
Deep Learning-Based Coverage and Rate Manifold Estimation in Cellular Networks. 1706-1715 - Ming He, Ming Jin, Qinghua Guo, Miguel López-Benítez, Wei Zhang:
On the Performance of Channel Occupancy Rate Estimation With Iterative Threshold Setting in Cognitive Radios. 1716-1729 - Kamal Agrawal, Suraj Parihar, Pratik Chakraborty, Shankar Prakriya:
Performance of NOMA-Enabled Cooperative FD D2D Communication in Cellular Underlay. 1730-1742 - Ashok Kumar, Krishan Kumar:
Deep Learning-Based Joint NOMA Signal Detection and Power Allocation in Cognitive Radio Networks. 1743-1752 - Mayank Gupta, Shankar Prakriya:
Performance of CSI-Based Power Control and NOMA/OMA Switching for Uplink Underlay Networks With Imperfect SIC. 1753-1769 - Abuzar B. M. Adam, Zhengqiang Wang, Xiaoyu Wan, Yongjun Xu, Bin Duo:
Energy-Efficient Power Allocation in Downlink Multi-Cell Multi-Carrier NOMA: Special Deep Neural Network Framework. 1770-1783 - Brian W. Stevens, Mohamed F. Younis:
Geospatial Cognitive Networking Protocols and Sensing Algorithms for 5G NR Beamforming. 1784-1801 - Wangyang Xu, Jiancheng An, Yongjun Xu, Chongwen Huang, Lu Gan, Chau Yuen:
Time-Varying Channel Prediction for RIS-Assisted MU-MISO Networks via Deep Learning. 1802-1815 - Jing Li, Xin Li, Yanjun Bi, Jian Ma:
Energy-Efficient Joint Resource Allocation With Reconfigurable Intelligent Surfaces in Symbiotic Radio Networks. 1816-1827 - Minh-Hien T. Nguyen, Emiliano Garcia-Palacios, Tan Do-Duy, Octavia A. Dobre, Trung Q. Duong:
UAV-Aided Aerial Reconfigurable Intelligent Surface Communications With Massive MIMO System. 1828-1838 - Weilin Zang, Fangmin Sun, Yunpeng Cai, Ye Li:
Transmit Beamforming for Ambient Backscatter Communication Enabled Wireless Body Area Network in Multiuser MISO System. 1839-1847 - Zhenzhen Hu, Songjie Yang, Zhongpei Zhang:
Ambient Backscatter-Based Power Control Strategies for Spectrum Sharing Networks. 1848-1861 - Mahmoud Said Elsayed, Nhien-An Le-Khac, Marianne A. Azer, Anca D. Jurcut:
A Flow-Based Anomaly Detection Approach With Feature Selection Method Against DDoS Attacks in SDNs. 1862-1880 - Anirudha Jitani, Aditya Mahajan, Zhongwen Zhu, Hatem Abou-Zeid, Emmanuel Thepie Fapi, Hakimeh Purmehdi:
Structure-Aware Reinforcement Learning for Node-Overload Protection in Mobile Edge Computing. 1881-1897 - Zhimin He, Jie Yin, Yu Wang, Guan Gui, Bamidele Adebisi, Tomoaki Ohtsuki, Haris Gacanin, Hikmet Sari:
Edge Device Identification Based on Federated Learning and Network Traffic Feature Engineering. 1898-1909 - Shunfeng Chu, Jun Li, Jianxin Wang, Zhe Wang, Ming Ding, Yijin Zhang, Yuwen Qian, Wen Chen:
Federated Learning Over Wireless Channels: Dynamic Resource Allocation and Task Scheduling. 1910-1924 - Hao Zhou, Melike Erol-Kantarci, H. Vincent Poor:
Learning From Peers: Deep Transfer Reinforcement Learning for Joint Radio and Cache Resource Allocation in 5G RAN Slicing. 1925-1941
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