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Feature Importance-Aware Task-Oriented Semantic Transmission and Optimization IEEE Trans. Cognit. Commun. Netw. (IF 8.6) Pub Date : 2024-03-14 Yining Wang, Shujun Han, Xiaodong Xu, Haotai Liang, Rui Meng, Chen Dong, Ping Zhang
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P2C2M: Parallel Product Complex Circle Manifold for RIS-Aided ISAC Waveform Design IEEE Trans. Cognit. Commun. Netw. (IF 8.6) Pub Date : 2024-03-14 Kai Zhong, Jinfeng Hu, Jun Liu, Dongxu An, Cunhua Pan, Kah Chan Teh, Xianxiang Yu, Huiyong Li
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RobustRMC: Robustness Interpretable Deep Neural Network for Radio Modulation Classification IEEE Trans. Cognit. Commun. Netw. (IF 8.6) Pub Date : 2024-03-14 Jinyin Chen, Danxin Liao, Shilian Zheng, Linhui Ye, Chenyu Jia, Haibin Zheng, Sheng Xiang
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Automatic Modulation Classification in Impulsive Noise: Log-Domain 3D Constellation Diagrams and Multiscale Dual-Convolutional 3DCNN IEEE Trans. Cognit. Commun. Netw. (IF 8.6) Pub Date : 2024-03-14 Jiansheng Bai, Jinjie Yao, Yurong Guo, Zhiliang Yang, Liming Wang
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Transformer-Based RIS Phase Shift Control for Ultra-Low Latency V2X Systems IEEE Trans. Cognit. Commun. Netw. (IF 8.6) Pub Date : 2024-03-12 Hyunsoo Kim, Seungnyun Kim, Jiao Wu, Byonghyo Shim
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RATE: Reliability-Aware Task Service in Fog-Enabled IoV Environments IEEE Trans. Cognit. Commun. Netw. (IF 8.6) Pub Date : 2024-03-11 Minu Tiwari, Ilora Maity, Sudip Misra
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SC-PNC: Semantic Communication-Empowered Physical-layer Network Coding IEEE Trans. Cognit. Commun. Netw. (IF 8.6) Pub Date : 2024-03-11 Haoyuan Pan, Shuai Yang, Tse-Tin Chan, Zhaorui Wang, Victor C. M. Leung, Jianqiang Li
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Open Set Domain Adaptation for Automatic Modulation Classification in Dynamic Communication Environments IEEE Trans. Cognit. Commun. Netw. (IF 8.6) Pub Date : 2024-03-11 Maomao Zhang, Peng Tang, Guofeng Wei, Xue Ni, Guoru Ding, Huali Wang
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Dynamic gNodeB Sleep Control for Energy-Conserving Radio Access Network IEEE Trans. Cognit. Commun. Netw. (IF 8.6) Pub Date : 2024-03-11 Pengfei Shen, Yulin Shao, Qi Cao, Lu Lu
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Maximizing Reliability in Overlay Radio Networks With Time Switching and Power Splitting Energy Harvesting IEEE Trans. Cognit. Commun. Netw. (IF 8.6) Pub Date : 2024-03-11 Deemah H. Tashman, Soumaya Cherkaoui, Walaa Hamouda
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An Intelligent Strategy Decision Method for Collaborative Jamming Based On Hierarchical Multi-Agent Reinforcement Learning IEEE Trans. Cognit. Commun. Netw. (IF 8.6) Pub Date : 2024-03-08 Wenxu Zhang, Tong Zhao, Zhongkai Zhao, Yajie Wang, Feiran Liu
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Energy-Efficient Blockchain-Enabled User-Centric Mobile Edge Computing IEEE Trans. Cognit. Commun. Netw. (IF 8.6) Pub Date : 2024-03-08 Langtian Qin, Hancheng Lu, Yuang Chen, Zhuojia Gu, Dan Zhao, Feng Wu
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PCSP: A Novel Class Discovery Algorithm for Radio Signal Classification IEEE Trans. Cognit. Commun. Netw. (IF 8.6) Pub Date : 2024-03-06 Jie Chen, Zhijin Zhao, Shilian Zheng, Luxin Zhang, Kunfeng Qiu, Xiaoniu Yang
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A Scalable Algorithm for User Grouping in LEO-MEO-HEO Hybrid Very High Throughput Satellite Constellations IEEE Trans. Cognit. Commun. Netw. (IF 8.6) Pub Date : 2024-03-05 Nils Pachler, Edward F. Crawley, Bruce G. Cameron
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A Supervised Learning-Assisted Partitioning Solution for RIS-Aided NOMA Systems IEEE Trans. Cognit. Commun. Netw. (IF 8.6) Pub Date : 2024-03-05 Yarkin Gevez, Emre Arslan, Ertugrul Basar
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Price of Anarchy in mmWave Backhaul Routing and Link Scheduling IEEE Trans. Cognit. Commun. Netw. (IF 8.6) Pub Date : 2024-02-19 Dionysia Triantafyllopoulou, Kostas Kollias, Klaus Moessner
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Multi-Agent Multi-Armed Bandit Learning for Grant-Free Access in Ultra-Dense IoT Networks IEEE Trans. Cognit. Commun. Netw. (IF 8.6) Pub Date : 2024-02-19 Muhammad Ahmad Raza, Mehran Abolhasan, Justin Lipman, Negin Shariati, Wei Ni, Abbas Jamalipour
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Secure Performance of RIS-Aided NOMA in Cognitive V2X Networks With Imperfect CSI over Double Rayleigh Fading IEEE Trans. Cognit. Commun. Netw. (IF 8.6) Pub Date : 2024-02-13 Meiling Li, Kaixuan Xue, Wei Chen, Zhu Han
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A Neural Network-Based Compressive LDPC Decoder Design Over Correlated Noise Channel IEEE Trans. Cognit. Commun. Netw. (IF 8.6) Pub Date : 2024-02-09 Ying Li, Baoye Zhang, Bin Tan, Jun Wu, Die Hu
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A Channel Usage Probability Awareness Anti-Jamming Channel Hopping Protocol for Cognitive Radio Networks IEEE Trans. Cognit. Commun. Netw. (IF 8.6) Pub Date : 2024-02-09 Sheng-Wei Lei, Chih-Min Chao
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NOMA-Aided Distributed Massive MIMO -A Graph-Theoretic Approach IEEE Trans. Cognit. Commun. Netw. (IF 8.6) Pub Date : 2024-02-09 Dhanushka Kudathanthirige, Dulaj Gunasinghe, Gayan Amarasuriya Aruma Baduge
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IEEE Communications Society Information IEEE Trans. Cognit. Commun. Netw. (IF 8.6) Pub Date : 2024-02-07
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Deterministic Cognition: Cross-Domain Flow Scheduling for Time-Sensitive Networks IEEE Trans. Cognit. Commun. Netw. (IF 8.6) Pub Date : 2024-02-05 Guoyu Peng, Shuo Wang, Zongquan Li, Tao Huang, Chaowei Yuan
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TMLAA for Automatic Harmonic Beam Steering Towards User Defined Direction Using Black Hole Mechanics Optimization IEEE Trans. Cognit. Commun. Netw. (IF 8.6) Pub Date : 2024-02-05 Gopi Ram, Durbadal Mandal
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Integrating Convex Optimization and Deep Learning for Downlink Resource Allocation in LEO Satellites Networks IEEE Trans. Cognit. Commun. Netw. (IF 8.6) Pub Date : 2024-02-01 Xiufeng Sui, Ziqi Jiang, Yifeng Lyu, Rongfei Fan, Han Hu, Zhi Liu
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Key Technologies and Applications of UAVs in Underground Space: A Review IEEE Trans. Cognit. Commun. Netw. (IF 8.6) Pub Date : 2024-01-31 Bin He, Xiangxin Ji, Gang Li, Bin Cheng
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Deep Learning-Based DOA Estimation IEEE Trans. Cognit. Commun. Netw. (IF 8.6) Pub Date : 2024-01-31 Shilian Zheng, Zhuang Yang, Weiguo Shen, Luxin Zhang, Jiawei Zhu, Zhijin Zhao, Xiaoniu Yang
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Data-and-Channel-Independent Radio Frequency Fingerprint Extraction for LTE-V2X IEEE Trans. Cognit. Commun. Netw. (IF 8.6) Pub Date : 2024-01-31 Xinyu Qi, Aiqun Hu, Zhen Zhang
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HFAD: Homomorphic Filtering Adversarial Defense Against Adversarial Attacks in Automatic Modulation Classification IEEE Trans. Cognit. Commun. Netw. (IF 8.6) Pub Date : 2024-01-31 Sicheng Zhang, Yun Lin, Jiarun Yu, Jianting Zhang, Qi Xuan, Dongwei Xu, Juzhen Wang, Meiyu Wang
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Decentralized Routing and Radio Resource Allocation in Wireless Ad Hoc Networks via Graph Reinforcement Learning IEEE Trans. Cognit. Commun. Netw. (IF 8.6) Pub Date : 2024-01-31 Xiaochen Zhang, Haitao Zhao, Jun Xiong, Xiaoran Liu, Hang Yin, Xuanhan Zhou, Jibo Wei
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Priority-Aware Deployment of Autoscaling Service Function Chains based On Deep Reinforcement Learning IEEE Trans. Cognit. Commun. Netw. (IF 8.6) Pub Date : 2024-01-25 Xue Yu, Ran Wang, Jie Hao, Qiang Wu, Changyan Yi, Ping Wang, Dusit Niyato
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Automatic Composite-Modulation Classification Using Ultra Lightweight Deep-Learning Network Based On Cyclic-Paw-Print IEEE Trans. Cognit. Commun. Netw. (IF 8.6) Pub Date : 2024-01-24 Xiao Yan, Pengfei Yang, Xunuo Zhong, Qian Wang, Hsiao-Chun Wu, Ling He
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Towards Efficient Neural Networks Through Predictor-Assisted NSGA-III for Anomaly Traffic Detection of IoT IEEE Trans. Cognit. Commun. Netw. (IF 8.6) Pub Date : 2024-01-18 Xinlei Wang, Mingshu He, Jiaxuan Wang, Xiaojuan Wang
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DSIL: An Effective Spectrum Prediction Framework Against Spectrum Concept Drift IEEE Trans. Cognit. Commun. Netw. (IF 8.6) Pub Date : 2024-01-18 Lantu Guo, Jun Lu, Jianping An, Kai Yang
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Dynamic Resource Allocation for Real Time Cloud XR Video Transmission: A Reinforcement Learning Approach IEEE Trans. Cognit. Commun. Netw. (IF 8.6) Pub Date : 2024-01-11 Zhaocheng Wang, Rui Wang, Jun Wu, Wei Zhang, Chenxi Li
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Multi-Source to Multi-Target Decentralized Federated Domain Adaptation IEEE Trans. Cognit. Commun. Netw. (IF 8.6) Pub Date : 2024-01-11 Su Wang, Seyyedali Hosseinalipour, Christopher G. Brinton
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Resource Knowledge-Driven Heterogeneous Graph Learning for Website Fingerprinting IEEE Trans. Cognit. Commun. Netw. (IF 8.6) Pub Date : 2024-01-08 Bo Gao, Weiwei Liu, Guangjie Liu, Fengyuan Nie
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Trace Pheromone-Based Energy-Efficient UAV Dynamic Coverage Using Deep Reinforcement Learning IEEE Trans. Cognit. Commun. Netw. (IF 8.6) Pub Date : 2024-01-05 Xu Cheng, Rong Jiang, Hongrui Sang, Gang Li, Bin He
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Joint Broadcast and Unicast Transmission Based On RSMA and Spectrum Sharing for Integrated Satellite-Terrestrial Network IEEE Trans. Cognit. Commun. Netw. (IF 8.6) Pub Date : 2024-01-05 Shuai Han, Zhiqiang Li, Qiang Xue, Weixiao Meng, Cheng Li
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5G End-to-End Slice Embedding Based On Heterogeneous Graph Neural Network and Reinforcement Learning IEEE Trans. Cognit. Commun. Netw. (IF 8.6) Pub Date : 2024-01-03 Yawen Tan, Jiajia Liu, Jiadai Wang
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Deep Learning-Assisted Adaptive Dynamic-SCLF Decoding of Polar Codes IEEE Trans. Cognit. Commun. Netw. (IF 8.6) Pub Date : 2024-01-03 Jun Li, Lejia Zhou, Zhengquan Li, Weidong Gao, Ru Ji, Jintao Zhu, Ziyi Liu
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Online Training Flow Scheduling for Geo-Distributed Machine Learning Jobs Over Heterogeneous and Dynamic Networks IEEE Trans. Cognit. Commun. Netw. (IF 8.6) Pub Date : 2023-10-20 Lang Fan, Xiaoning Zhang, Yangming Zhao, Keshav Sood, Shui Yu
Geo-Distributed Machine Leaning (Geo-DML) has been a promising technology, which performs collaborative learning across geographically dispersed data centers (DCs) with privacy-preserving over Wide Area Networks (WANs). Unfortunately, the limited and heterogeneous WAN bandwidth poses significant challenges to the performance of Geo-DML systems, leading to increased communication overhead and affecting
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Differentially Private Federated Learning With Stragglers’ Delays in Cross-Silo Settings: An Online Mirror Descent Approach IEEE Trans. Cognit. Commun. Netw. (IF 8.6) Pub Date : 2023-10-19 Olusola Odeyomi, Earl Tankard, Danda Rawat
Federated learning is a privacy-preserving machine learning paradigm to protect the data of clients against privacy breaches. A lot of work on federated learning considers the cross-device setting where the number of clients is large and the data sample size of each client is low. However, this work focuses on cross-silo settings, where clients are few and have large sample sizes. We consider a fully
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Applying RIS in Multi-User SWIPT-WPCN Systems: A Robust and Environmentally-Friendly Design IEEE Trans. Cognit. Commun. Netw. (IF 8.6) Pub Date : 2023-10-16 Yongjun Xu, Bowen Gu, Zhengnian Gao, Dong Li, Qingqing Wu, Chau Yuen
Integrating simultaneous wireless information and power transfer (SWIPT) and wireless-powered communication network (WPCN) has been regarded as one of the energy-efficient paradigms, which can complement each other in uplink and downlink transmission. However, severe path loss and imprecise channel estimation hinder the system performance in energy harvesting (EH) and information transmission. To break
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Deep Learning-Based Modeling of 5G Core Control Plane for 5G Network Digital Twin IEEE Trans. Cognit. Commun. Netw. (IF 8.6) Pub Date : 2023-10-16 Zhenyu Tao, Yongliang Guo, Guanghui He, Yongming Huang, Xiaohu You
Digital twin serves as a crucial facilitator in the advancement and implementation of emerging technologies within 5G and beyond networks. However, the intricate structure and diverse functionalities of the existing 5G core network, especially the control plane, present challenges in constructing core network digital twins. In this paper, we propose two novel data-driven architectures for modeling
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Streamlining Multimodal Data Fusion in Wireless Communication and Sensor Networks IEEE Trans. Cognit. Commun. Netw. (IF 8.6) Pub Date : 2023-10-10 Mohammud Junaid Bocus, Xiaoyang Wang, Robert J. Piechocki
This paper presents a novel approach for multimodal data fusion based on the Vector-Quantized Variational Autoencoder (VQVAE) architecture. The proposed method is simple yet effective in achieving excellent reconstruction performance on paired MNIST-SVHN data and WiFi spectrogram data. Additionally, the multimodal VQVAE model is extended to the 5G communication scenario, where an end-to-end Channel
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Cache Enabled UAV HetNets: Access - xHaul Coverage Analysis and Optimal Resource Partitioning IEEE Trans. Cognit. Commun. Netw. (IF 8.6) Pub Date : 2023-10-10 Neetu R. R, Gourab Ghatak, Anand Srivastava, Vivek Ashok Bohara
We study an urban wireless network in which cache-enabled UAV-Access points (UAV-APs) and UAV-Base stations (UAV-BSs) are deployed to provide higher throughput and ad-hoc coverage to users on the ground. The cache-enabled UAV-APs route the user data to the core network via either terrestrial base stations (TBSs) or backhaul-enabled UAV-BSs through an xHaul link. First, we derive the association probabilities
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Deep Reinforcement Learning for Automatic Run-Time Adaptation of UWB PHY Radio Settings IEEE Trans. Cognit. Commun. Netw. (IF 8.6) Pub Date : 2023-10-06 Dieter Coppens, Adnan Shahid, Eli De Poorter
Ultra-wideband technology has become increasingly popular for indoor localization and location-based services. This has led recent advances to be focused on reducing the ranging errors, whilst research focusing on enabling more reliable and energy efficient communication has been largely unexplored. The IEEE 802.15.4 UWB physical layer allows for several settings to be selected that influence the energy
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Adaptive Network Configuration for Efficient and Accurate Neural Video Inference IEEE Trans. Cognit. Commun. Netw. (IF 8.6) Pub Date : 2023-10-06 Peng Yang, Yan Cheng, Ning Zhang, Qimin Cheng, Li Yu
Cameras are widely used in many fields, e.g., intelligent transportation, autonomous driving, surveillance, etc. It is thus vital to conduct video analytics in an efficient and accurate manner. However, camera’s built-in capacity is insufficient to support neural network processing, while offloading video streams incurs prohibitive latency and communication cost. In this paper, we find that frame rate
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GAN-Based Siamese Neuron Network for Modulation Classification Against White-Box Adversarial Attacks IEEE Trans. Cognit. Commun. Netw. (IF 8.6) Pub Date : 2023-09-29 Xiaoyu Zhou, Peihan Qi, Weilin Zhang, Shilian Zheng, Ning Zhang, Zan Li
With the extensive application of modulation classification in the field of wireless communication, various methods of modulation classification have been proposed to improve the classification performance, where the deep learning (DL)-based modulation classification technology is gradually popular. However, recent studies have discovered that the DL-based modulation classification methods are vulnerable
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SemiAMR: Semi-Supervised Automatic Modulation Recognition With Corrected Pseudo-Label and Consistency Regularization IEEE Trans. Cognit. Commun. Netw. (IF 8.6) Pub Date : 2023-09-28 Yuanpu Guo, Dan Zhong, Haixin Sun, Zhiye Jiang, Linmei Ye, Zhenmiao Deng, Hui Liu
In modern communication systems, automatic modulation recognition (AMR) has broad application prospects but a large amount of training data is usually required. Due to the high cost of adding annotations to signals, it is of great significance to study AMR under the condition of few labeled samples. In this paper, an end-to-end semi-supervised radio signal recognition algorithm is proposed. In view
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Meta Reinforcement Learning-Based Spectrum Sharing Between RIS-Assisted Cellular Communications and MIMO Radar IEEE Trans. Cognit. Commun. Netw. (IF 8.6) Pub Date : 2023-09-26 Prajwalita Saikia, Keshav Singh, Omid Taghizadeh, Wan-Jen Huang, Sudip Biswas
New wireless networks together with fixed spectrum allocation have resulted in spectrum paucity, which has led to the idea of spectrum sharing between radar and communication systems. In this work, we consider a spectrum-sharing framework between a reconfigurable intelligent surface (RIS)-assisted cellular system and a multiple-input multiple-output (MIMO) radar and investigate its performance. In
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Network Resource Allocation for Industry 4.0 With Delay and Safety Constraints IEEE Trans. Cognit. Commun. Netw. (IF 8.6) Pub Date : 2023-09-26 Asif Ahmed Sardar, Aravinda S. Rao, Tansu Alpcan, Goutam Das, Marimuthu Palaniswami
In this paper, we model a futuristic factory floor equipped with Automated Guided Vehicles (AGVs), cameras, and a Virtual Reality (VR) surveillance system; and connected to a 5G network for communication purposes. Motion planning of AGVs and VR applications is offloaded to an edge server for computational flexibility and reduced hardware on the factory floor. Decisions on the edge server are made using
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Wireless Interference Identification With Convolutional Neural Networks Based on the FPGA Implementation of the LTE Cell-Specific Reference Signal (CRS) IEEE Trans. Cognit. Commun. Netw. (IF 8.6) Pub Date : 2023-09-26 Gianmarco Baldini, Fausto Bonavitacola, Jean-Marc Chareau
Wireless Interference Identification (WII) is an important function in the context of non-cooperative spectrum coexistence management problems because interference may cause loss or degradation of service. Deep Learning (DL) has been recently introduced in spectrum coexistence problems and more specifically in WII where it has demonstrated a superior performance to shallow machine learning algorithms
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Sparse Bayesian Learning-Based 3-D Radio Environment Map Construction—Sampling Optimization, Scenario-Dependent Dictionary Construction, and Sparse Recovery IEEE Trans. Cognit. Commun. Netw. (IF 8.6) Pub Date : 2023-09-26 Jie Wang, Qiuming Zhu, Zhipeng Lin, Qihui Wu, Yang Huang, Xuezhao Cai, Weizhi Zhong, Yi Zhao
The radio environment map (REM), which can visualize the information of invisible electromagnetic spectrum, is vital for monitoring, management, and security of spectrum resources in cognitive radio (CR) networks. In view of a limited number of spectrum sensors and constrained sampling time, this paper presents a new three-dimensional (3D) REM construction scheme based on sparse Bayesian learning (SBL)
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Modeling and Optimization of Channel Allocation for PAL and GAA Users in the CBRS Band IEEE Trans. Cognit. Commun. Netw. (IF 8.6) Pub Date : 2023-09-22 Naru Jai, Yi Shi, Shaoran Li, Chengzhang Li, Y. Thomas Hou, Wenjing Lou, Jeffrey H. Reed, Masoud Olfat, Sastry Kompella, Luiz DaSilva
A fundamental challenge for Citizen Broadband Radio Service (CBRS) is how to achieve optimal channel allocation for the Priority Access License (PAL) and General Authorized Access (GAA) users while protecting the incumbent federal users. To address this challenge, we develop a mathematical framework, which encompasses PAL channel allocation, PAL interference protection, GAA channel allocation, and
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GAF-MAE: A Self-Supervised Automatic Modulation Classification Method Based on Gramian Angular Field and Masked Autoencoder IEEE Trans. Cognit. Commun. Netw. (IF 8.6) Pub Date : 2023-09-22 Yunhao Shi, Hua Xu, Yue Zhang, Zisen Qi, Dan Wang
With the development of deep learning (DL), several fields have ushered in leapfrog development, such as image classification and natural language processing. Combing the powerful feature extraction tool, DL-based Automatic Modulation Classification (AMC) emerges. However, most DL-based AMC methods require massive labeled samples for training, which is difficult for non-cooperative scenarios. In this
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A Reinforcement Learning-Based Incentive Scheme for Multi-Hop Communications in Vehicular Networks IEEE Trans. Cognit. Commun. Netw. (IF 8.6) Pub Date : 2023-09-18 Axida Shan, Xiumei Fan, Xianfu Chen, Yusheng Ji, Celimuge Wu
Vehicular network applications heavily rely on multi-hop communication technologies to ensure efficient and reliable data transmissions because of the limited wireless transmission range of vehicles, road side units, and some other mobile devices in the network. There is a common assumption in most of the applications that all network nodes are cooperative during the entire network procedure. However