IEEE Transactions on Cognitive Communications and Networking最新文献_第9页

Joint Sensing, Communication and Computation for Edge Intelligence Oriented Symbiotic Communication With Intelligent Reflecting Surface 利用智能反射面进行面向边缘智能的共生通信的联合传感、通信和计算

IF 7.4 1区计算机科学

IEEE Transactions on Cognitive Communications and Networking Pub Date : 2024-08-06 DOI: 10.1109/TCCN.2024.3439589

Ning Huang;Chenglong Dou;Yuan Wu;Liping Qian

{"title":"Joint Sensing, Communication and Computation for Edge Intelligence Oriented Symbiotic Communication With Intelligent Reflecting Surface","authors":"Ning Huang;Chenglong Dou;Yuan Wu;Liping Qian","doi":"10.1109/TCCN.2024.3439589","DOIUrl":"10.1109/TCCN.2024.3439589","url":null,"abstract":"Symbiotic radio, which exploits the benefits of passive communications and cognitive radio via backscattering or ambient reflecting, is a promising paradigm to support a large amount of Internet of Things devices with high spectrum efficiency and energy efficiency. For edge intelligence, data collection from heterogeneous devices including wireless sensing devices and wired sensing devices brings challenge for efficient model training. Intelligent reflecting surface (IRS) based symbiotic radio, which exploits IRS in backscatter systems to passively modulate information in the radio-frequency domain and strengthen both the primary links and the backscatter links, provides a promising solution to address this issue. In this paper, we investigate the joint sensing, communication and computation for edge intelligence oriented symbiotic radio with IRS. Specifically, IRS not only enhances the primary communication to deliver the sensing data for wireless sensing devices, but also delivers the data from wired sensing device to the edge server by modulating the data on the primary communication signal. We formulate a problem to jointly optimize the sensing strategies (i.e., the sensing durations and the sensing rates), the communication strategies (i.e., the IRS reflecting matrix and the data uploading durations) and the computing strategies (i.e., the computing capacities of the wireless sensing devices and the edge server), with the objective of maximizing the energy efficiency of the whole system. An efficient algorithm is proposed to solve the formulated optimization problem, with sufficient numerical results provided to demonstrate the performance advantages.","PeriodicalId":13069,"journal":{"name":"IEEE Transactions on Cognitive Communications and Networking","volume":"10 5","pages":"1650-1662"},"PeriodicalIF":7.4,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141899791","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Integrated Cognitive Symbiotic Computing and Ambient Backscatter Communication Network 集成认知共生计算和环境反向散射通信网络

IF 7.4 1区计算机科学

IEEE Transactions on Cognitive Communications and Networking Pub Date : 2024-08-06 DOI: 10.1109/TCCN.2024.3439628

Chao Ren;Yanglin Hu;Lei Sun;Haojin Li;Chen Sun;Haijun Zhang;Arumugam Nallanathan;Victor C. M. Leung

{"title":"Integrated Cognitive Symbiotic Computing and Ambient Backscatter Communication Network","authors":"Chao Ren;Yanglin Hu;Lei Sun;Haojin Li;Chen Sun;Haijun Zhang;Arumugam Nallanathan;Victor C. M. Leung","doi":"10.1109/TCCN.2024.3439628","DOIUrl":"10.1109/TCCN.2024.3439628","url":null,"abstract":"Ambient backscatter communication (AmBC) possesses signal reception and energy-harvesting capabilities, allowing providing wireless cognition through simple energy detection. In typical applications like industrial Internet of Things (IoT), cognitive AmBC (CAmBC) networks are required to offer passive communication, edge computing, and cognition capabilities. However, passive communication relies on the environment and has limited computing power, creating interdependencies among spectrum sensing, networking, and computational cognition. Moreover, the heterogeneous evaluation metrics for communication and computation make unified planning and management challenging. Therefore, this paper proposes the integrated cognitive symbiotic computing-AmBC (CSC-AmBC) based on symbiotic communication and cognitive radio. CSC-AmBC integrates AmBC communication and computational cognition capabilities in a task-oriented manner, sharing proximity and AmBC computing and communication (ACC) resources among primary and secondary tasks. Meta-Link with Tokens and two cognitive ACC reuse models is used to facilitate integration and enhance task execution efficiency, which introduces Places to accommodate the heterogeneous and variable ACC resources. Additionally, the task execution gain metric is introduced to evaluate the multi-task ACC resource utilization. Numerical results validate the cognition networking and the advantage of the proposed task execution gain of CSC-AmBC.","PeriodicalId":13069,"journal":{"name":"IEEE Transactions on Cognitive Communications and Networking","volume":"10 5","pages":"1635-1649"},"PeriodicalIF":7.4,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141899711","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Over-the-Air Modulation for RIS-Assisted Symbiotic Radios: Design, Analysis, and Optimization RIS 辅助共生无线电的空中调制：设计、分析和优化

IF 7.4 1区计算机科学

IEEE Transactions on Cognitive Communications and Networking Pub Date : 2024-08-06 DOI: 10.1109/TCCN.2024.3439606

Hu Zhou;Ying-Chang Liang;Chau Yuen

{"title":"Over-the-Air Modulation for RIS-Assisted Symbiotic Radios: Design, Analysis, and Optimization","authors":"Hu Zhou;Ying-Chang Liang;Chau Yuen","doi":"10.1109/TCCN.2024.3439606","DOIUrl":"10.1109/TCCN.2024.3439606","url":null,"abstract":"In reconfigurable intelligent surface (RIS)-assisted symbiotic radio (SR), an RIS is exploited to assist the primary system and to simultaneously operate as a secondary transmitter by modulating its own information over the incident primary signal from the air. Such an operation is called over-the-air modulation. The existing modulation schemes such as on-off keying and binary phase-shift keying suffer from two problems for joint detection of the primary and secondary signals in RIS-assisted SR, i.e., one is the detection ambiguity problem when the direct link is blocked, and the other is the bit error rate (BER) error-floor problem when the direct link is weak. To address the two problems, we propose a novel modulation scheme by dividing the phase-shift matrix into two parts: one is the assistance beamforming matrix for assisting the primary system and the other is the transmission beamforming matrix for delivering the secondary signal. To optimize the assistance and transmission beamforming matrices, we first introduce an assistance factor that describes the performance requirement of the primary system and then formulate a problem to minimize the BER of the secondary system, while guaranteeing the BER requirement of the primary system controlled by the assistance factor. To solve this non-convex problem, we resort to the successive convex approximation technique to obtain a suboptimal solution. Furthermore, to draw more insights, we propose a low-complexity assistance-transmission beamforming structure by borrowing the idea from the classic maximum ratio transmission and zero forcing techniques. Finally, simulation results reveal an interesting tradeoff between the BER performance of the primary and secondary systems by adjusting the assistance factor.","PeriodicalId":13069,"journal":{"name":"IEEE Transactions on Cognitive Communications and Networking","volume":"10 5","pages":"1582-1596"},"PeriodicalIF":7.4,"publicationDate":"2024-08-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141899713","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Joint Beamforming Design for Double Active RIS-Assisted Radar-Communication Coexistence Systems 双主动 RIS 辅助雷达-通信共存系统的联合波束成形设计

IF 7.4 1区计算机科学

IEEE Transactions on Cognitive Communications and Networking Pub Date : 2024-08-05 DOI: 10.1109/TCCN.2024.3438350

Mengyu Liu;Hong Ren;Cunhua Pan;Boshi Wang;Zhiyuan Yu;Ruisong Weng;Kangda Zhi;Yongchao He

{"title":"Joint Beamforming Design for Double Active RIS-Assisted Radar-Communication Coexistence Systems","authors":"Mengyu Liu;Hong Ren;Cunhua Pan;Boshi Wang;Zhiyuan Yu;Ruisong Weng;Kangda Zhi;Yongchao He","doi":"10.1109/TCCN.2024.3438350","DOIUrl":"10.1109/TCCN.2024.3438350","url":null,"abstract":"Integrated sensing and communication (ISAC) technology has been considered as one of the key candidate technologies in the next-generation wireless communication systems. However, when radar and communication equipment coexist in the same system, i.e., radar-communication coexistence (RCC), the interference from communication systems to radar can be large and cannot be ignored. Recently, reconfigurable intelligent surface (RIS) has been introduced into RCC systems to reduce the interference. However, the “multiplicative fading” effect introduced by passive RIS limits its performance. To tackle this issue, we consider a double active RIS-assisted RCC system, which focuses on the design of the radar’s beamforming vector and the active RISs’ reflecting coefficient matrices, to maximize the achievable data rate of the communication system. The considered system needs to meet the radar detection constraint and the power budgets at the radar and the RISs. Since the problem is non-convex, we propose an algorithm based on the penalty dual decomposition (PDD) framework. Specifically, we initially introduce auxiliary variables to reformulate the coupled variables into equation constraints and incorporate these constraints into the objective function through the PDD framework. Then, we decouple the equivalent problem into several subproblems by invoking the block coordinate descent (BCD) method. Furthermore, we employ the Lagrange dual method to alternately optimize these subproblems. Simulation results verify the effectiveness of the proposed algorithm. Furthermore, the results also show that under the same power budget, deploying double active RISs in RCC systems can achieve higher data rate than those with single active RIS and double passive RISs.","PeriodicalId":13069,"journal":{"name":"IEEE Transactions on Cognitive Communications and Networking","volume":"10 5","pages":"1704-1717"},"PeriodicalIF":7.4,"publicationDate":"2024-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141895559","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Generative AI for Secure Physical Layer Communications: A Survey 用于安全物理层通信的生成式人工智能：调查

IF 8.6 1区计算机科学

IEEE Transactions on Cognitive Communications and Networking Pub Date : 2024-08-05 DOI: 10.1109/tccn.2024.3438379

Changyuan Zhao, Hongyang Du, Dusit Niyato, Jiawen Kang, Zehui Xiong, Dong In Kim, Xuemin Shen, Khaled B. Letaief

引用次数: 0

RIS-Aided Symbiotic Radio: A Number and Phase Modulation Approach RIS 辅助共生无线电：数字和相位调制方法

IF 7.4 1区计算机科学

IEEE Transactions on Cognitive Communications and Networking Pub Date : 2024-08-05 DOI: 10.1109/TCCN.2024.3438461

Yehuai Feng;Qiang Li;Yingyang Chen;Qingqing Wu;Miaowen Wen

{"title":"RIS-Aided Symbiotic Radio: A Number and Phase Modulation Approach","authors":"Yehuai Feng;Qiang Li;Yingyang Chen;Qingqing Wu;Miaowen Wen","doi":"10.1109/TCCN.2024.3438461","DOIUrl":"10.1109/TCCN.2024.3438461","url":null,"abstract":"In this paper, a novel backscatter modulation scheme, termed number and phase modulation (NPM), is proposed for reconfigurable intelligent surface (RIS)-aided symbiotic radio (SR). In RIS-NPM, the number and phase shifts of RIS elements are jointly utilized to carry backscatter information. A bit-mapping method is designed by using the two information-bearing units. We develop two types of maximum-likelihood (ML) detectors that are based on instantaneous and statistic channel state information, respectively. A low-complexity detector that achieves a trade-off between performance and complexity is then designed. Closed-form upper bounds on the bit error rate (BER) are derived for both ML detectors over Rician fading channels. We further extend RIS-NPM to the scenario with multiple receive antennas, enhancing the spectral efficiency by embedding partial information into the antenna indices. For this extension, BER performance is analyzed by assuming energy-based ML detection. Computer simulations verify the analysis and show the superiority of RIS-NPM over the state-of-the-art RIS-based modulation schemes in SR.","PeriodicalId":13069,"journal":{"name":"IEEE Transactions on Cognitive Communications and Networking","volume":"10 5","pages":"1597-1607"},"PeriodicalIF":7.4,"publicationDate":"2024-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141895671","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Robust Energy Efficiency Optimization for Double-RIS-Assisted Wireless-Powered Backscatter Communications 双 RIS 辅助无线供电反向散射通信的稳健能效优化

IF 7.4 1区计算机科学

IEEE Transactions on Cognitive Communications and Networking Pub Date : 2024-08-05 DOI: 10.1109/TCCN.2024.3438354

Yongjun Xu;Yingxiang Bai;Yunjian Jia;Haibo Zhang;Qingqing Wu;Chau Yuen

引用次数: 0

Resource Allocation Design for RIS-enhanced Backscatter Wireless-powered Symbiotic Networks RIS 增强型反向散射无线共生网络的资源分配设计

IF 8.6 1区计算机科学

IEEE Transactions on Cognitive Communications and Networking Pub Date : 2024-08-05 DOI: 10.1109/tccn.2024.3438363

Yibo Yi, Xinyue Hu, Caihong Kai, Wei Huang

引用次数: 0

Content Adaptive Distributed Joint Source-Channel Coding for Image Transmission With Hyperprior 利用超优先级为图像传输提供内容自适应分布式源-信道联合编码

IF 8.6 1区计算机科学

IEEE Transactions on Cognitive Communications and Networking Pub Date : 2024-08-05 DOI: 10.1109/tccn.2024.3438371

Yishen Li, Xuechen Chen, Xiaoheng Deng, Jinsong Gui

引用次数: 0

On the Performance of Rate Splitting Multiple Access for ISAC in Device-to-Multi-Device IoT Communications 论设备对多设备物联网通信中 ISAC 的速率分裂多重接入性能

IF 8.6 1区计算机科学

IEEE Transactions on Cognitive Communications and Networking Pub Date : 2024-08-05 DOI: 10.1109/tccn.2024.3438359

Sutanu Ghosh, Keshav Singh, Haejoon Jung, Chih-Peng Li, Trung Q. Duong

引用次数: 0