IEEE Transactions on Green Communications and Networking最新文献_第7页

Active RIS-Assisted mmWave Indoor Signal Enhancement Based on Transparent RIS 基于透明 RIS 的主动 RIS 辅助毫米波室内信号增强技术

IF 5.3 2区计算机科学

IEEE Transactions on Green Communications and Networking Pub Date : 2024-03-15 DOI: 10.1109/TGCN.2024.3401192

Hao Feng;Yuping Zhao

{"title":"Active RIS-Assisted mmWave Indoor Signal Enhancement Based on Transparent RIS","authors":"Hao Feng;Yuping Zhao","doi":"10.1109/TGCN.2024.3401192","DOIUrl":"https://doi.org/10.1109/TGCN.2024.3401192","url":null,"abstract":"Due to the substantial path loss inherent to millimeter-wave (mmWave) frequencies, the signal sent by the outdoor base station is seriously attenuated when it reaches the indoors. Recent research has introduced a glass-based metasurface to enhance mmWave signals in indoor settings. While a transparent reconfigurable intelligent surface (RIS) can focus signals in specific areas, achieving ideal coverage is hindered by constraints such as building structures. To address this limitation, we propose a novel RIS-assisted mmWave indoor enhancement scheme in which a transparent RIS is deployed on the glass, and a reflection RIS is introduced to enhance signal connectivity, ensuring mmWave coverage across indoor spaces. Three distinct assisted transmission scenarios are considered in this proposed scheme: passive RIS (PRIS), active RIS (ARIS), and hybrid RIS (HRIS). This paper aims to maximize the signal-to-noise ratio (SNR) of the received signal for the three assisted transmission scenarios. The closed-form solution is presented in the PRIS and the ARIS-assisted transmission scenarios. In addition, the performance of the proposed scheme is analyzed under three assisted transmission scenarios. The results indicate that the ARIS-assisted transmission scenario achieves the highest data rate and energy efficiency under a smaller transmit power while demanding minimal unit cells.","PeriodicalId":13052,"journal":{"name":"IEEE Transactions on Green Communications and Networking","volume":"8 4","pages":"1943-1954"},"PeriodicalIF":5.3,"publicationDate":"2024-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142679326","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Priority-Driven Resource Allocation and Power Optimization in D2D Communication D2D 通信中优先级驱动的资源分配和功率优化

IF 5.3 2区计算机科学

IEEE Transactions on Green Communications and Networking Pub Date : 2024-03-13 DOI: 10.1109/TGCN.2024.3399403

Raghu T. V.;M. Kiran

{"title":"Priority-Driven Resource Allocation and Power Optimization in D2D Communication","authors":"Raghu T. V.;M. Kiran","doi":"10.1109/TGCN.2024.3399403","DOIUrl":"https://doi.org/10.1109/TGCN.2024.3399403","url":null,"abstract":"This research proposes priority-driven application-based channel assignment and power optimization frameworks called Channel State Information-based Resource Allocation (CSIRA) and Binary Search Power Control Mechanism (BSPCM) in D2D-enabled cellular communication. The CSIRA framework is cluster-based and uses a K-means clustering algorithm to group the D2D users into clusters. CSIRA allows the D2D users to share the cellular user’s resources without compromising the cellular user’s Quality of Service (QoS) in each cluster. Also, CSIRA ensures that public safety communication will get an edge over commercial communication during resource allocation. In order to ensure the QoS for cellular users is maintained while also enhancing the sum rate of D2D communication, the CSIRA employs the BSPCM framework. BSPCM framework utilizes a binary search algorithm to determine the optimal transmission power required for guaranteed D2D transmission within a cluster, thereby mitigating interference effects. A theoretical proof is provided to show that the suggested frameworks converge to a stable matching and end after a finite number of iterations. Simulation results demonstrate that the proposed frameworks effectively prioritizes public safety over commercial applications while preserving optimal system efficiency and quality with minimal complications.","PeriodicalId":13052,"journal":{"name":"IEEE Transactions on Green Communications and Networking","volume":"8 4","pages":"1479-1491"},"PeriodicalIF":5.3,"publicationDate":"2024-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142671999","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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 Abnormal Data Detection for Enhancing Cellular Vehicle-to-Everything-Based Road Safety 生成异常数据检测，加强基于蜂窝网络的 "车到万物 "道路安全

IF 5.3 2区计算机科学

IEEE Transactions on Green Communications and Networking Pub Date : 2024-03-13 DOI: 10.1109/TGCN.2024.3400403

Liang Zhao;Xu Fan;Ammar Hawbani;Lexi Xu;Keping Yu;Zhi Liu;Osama Alfarraj

{"title":"Generative Abnormal Data Detection for Enhancing Cellular Vehicle-to-Everything-Based Road Safety","authors":"Liang Zhao;Xu Fan;Ammar Hawbani;Lexi Xu;Keping Yu;Zhi Liu;Osama Alfarraj","doi":"10.1109/TGCN.2024.3400403","DOIUrl":"https://doi.org/10.1109/TGCN.2024.3400403","url":null,"abstract":"Under the framework of Cellular-Vehicle-to-Everything (C-V2X) technology, although vehicles can avoid potential risks and improve traffic efficiency, shared vehicle data may have defects or faults due to inevitable environmental noise or potential sensor failures, which could pose dangers to drivers. Therefore, detecting anomalies in data transmitted via C-V2X is crucial, particularly for the driving control messages, i.e., Basic Safety Messages (BSM). However, anomaly detection in BSM data faces multiple challenges. First, BSM data contains rich driving details, necessitating modeling its high variability to better learn complex and nonlinear spatio-temporal relationships. Second, the rarity of anomalous events and the potential diversity of normal behaviors make defining anomalies more complex, increasing the difficulty of anomaly detection. Third, extracting meaningful information from a large amount of data and understanding the abstract patterns or regularities within it can also be challenging for effective reasoning at the data level. To address these challenges, we propose a hybrid generative model named CoGAN, which combines Variational Autoencoder (VAE) and Generative Adversarial Network (GAN) to implicitly learn the feature representation of normal data in an unsupervised manner. Specifically, the VAE is responsible for learning the distribution of normal data, and capturing the fundamental patterns and structures of the data; meanwhile, the discriminator is dedicated to enhancing the model’s ability to learn the distribution of normal data, refining the model’s understanding of data through the introduction of an adversarial process. CoGAN explores the distribution characteristics of normal vehicle behavior data by jointly learning the generation process and variational inference of BSM data, thereby achieving the purpose of anomaly detection.","PeriodicalId":13052,"journal":{"name":"IEEE Transactions on Green Communications and Networking","volume":"8 4","pages":"1466-1478"},"PeriodicalIF":5.3,"publicationDate":"2024-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142672199","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

A Novel Clustering Protocol for Network Lifetime Maximization in Underwater Wireless Sensor Networks 水下无线传感器网络中实现网络寿命最大化的新型聚类协议

IF 5.3 2区计算机科学

IEEE Transactions on Green Communications and Networking Pub Date : 2024-03-12 DOI: 10.1109/TGCN.2024.3375011

Amitkumar V. Jha;Bhargav Appasani;Mohammad S. Khan;Houbing Herbert Song

{"title":"A Novel Clustering Protocol for Network Lifetime Maximization in Underwater Wireless Sensor Networks","authors":"Amitkumar V. Jha;Bhargav Appasani;Mohammad S. Khan;Houbing Herbert Song","doi":"10.1109/TGCN.2024.3375011","DOIUrl":"https://doi.org/10.1109/TGCN.2024.3375011","url":null,"abstract":"Underwater wireless sensor network (UWSN) is a pervasive technology with different characteristics and requirements, where energy conservation is a stringent requirement. Improving the network lifetime can have tremendous practical utility in these networks. The energy of the nodes in the network can be conserved by devising an efficient cluster head selection mechanism. This paper presents a novel energy-efficient clustering protocol (EECP) for the UWSN. The proposed protocol segregates the network based on horizontal clustering. In every iteration, the cluster heads are selected based on the energy level of the nodes. The performance of the proposed protocol is measured in terms of energy efficiency and network lifetime. Moreover, the performance of the EECP is further improved by adding nearest neighbor criteria for selecting the cluster head. This protocol is named as energy-efficient clustering protocol with nearest neighbor (EECP-NN). The efficacy of the proposed protocols is evaluated by comparing their performance with some of the state-of-the-art cluster-based protocols in this study.","PeriodicalId":13052,"journal":{"name":"IEEE Transactions on Green Communications and Networking","volume":"8 4","pages":"1371-1384"},"PeriodicalIF":5.3,"publicationDate":"2024-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142672000","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Distributed Semantic Communications for Multimodal Audio-Visual Parsing Tasks 多模态视听解析任务的分布式语义通信

IF 5.3 2区计算机科学

IEEE Transactions on Green Communications and Networking Pub Date : 2024-03-12 DOI: 10.1109/TGCN.2024.3374700

Penghong Wang;Jiahui Li;Chen Liu;Xiaopeng Fan;Mengyao Ma;Yaowei Wang

{"title":"Distributed Semantic Communications for Multimodal Audio-Visual Parsing Tasks","authors":"Penghong Wang;Jiahui Li;Chen Liu;Xiaopeng Fan;Mengyao Ma;Yaowei Wang","doi":"10.1109/TGCN.2024.3374700","DOIUrl":"https://doi.org/10.1109/TGCN.2024.3374700","url":null,"abstract":"Semantic communication has significantly improved in single-modal single-task scenarios, but its progress is limited in multimodal and multi-task transmission contexts. To address this issue, this paper investigates a distributed semantic communication system for audio-visual parsing (AVP) task. The system acquires audio-visual information from distributed terminals and conducts multi-task analysis on the far-end server, which involves event categorization and boundary recording. We propose a distributed deep joint source-channel coding scheme with auxiliary information feedback to implement this system, aiming to enhance parsing performance and reduce bandwidth consumption during communication. Specifically, the server initially receives the audio feature from the audio terminal and then sends the semantic information extracted from the audio feature back to the visual terminal. The received semantic and visual information are interactively processed by the visual terminal before being encoded and transmitted. The audio and visual semantic information received is processed and parsed on the far-end server. The experimental results demonstrate a significant reduction in transmission bandwidth consumption and notable performance improvements across various evaluation metrics for distributed AVP task compared to current state-of-the-art methods.","PeriodicalId":13052,"journal":{"name":"IEEE Transactions on Green Communications and Networking","volume":"8 4","pages":"1707-1716"},"PeriodicalIF":5.3,"publicationDate":"2024-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142713826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

DPC-CNN Algorithm for Multiuser Hybrid Precoding With Dynamic Structure 具有动态结构的多用户混合编码 DPC-CNN 算法

IF 5.3 2区计算机科学

IEEE Transactions on Green Communications and Networking Pub Date : 2024-03-12 DOI: 10.1109/TGCN.2024.3376571

Fulai Liu;Zhuoyao Duan;Lijie Zhang;Baozhu Shi;Yubiao Liu;Ruiyan Du

{"title":"DPC-CNN Algorithm for Multiuser Hybrid Precoding With Dynamic Structure","authors":"Fulai Liu;Zhuoyao Duan;Lijie Zhang;Baozhu Shi;Yubiao Liu;Ruiyan Du","doi":"10.1109/TGCN.2024.3376571","DOIUrl":"https://doi.org/10.1109/TGCN.2024.3376571","url":null,"abstract":"This paper presents a dynamic partially connected (DPC) structure-based convolutional neural network (CNN) hybrid precoding with multi-user optimization algorithm. In the proposed algorithm, a multi-output CNN framework is constructed to simultaneously optimize the phase shifter and switch precoders, including custom ‘Out’ layer, deep neural network (DNN)-based analog phase shifter subnetwork, namely DNN-Fps, and DNN-based switch subnetwork, called DNN-Fs. Specifically, the DNN-Fps is designed to obtain the vectorized phase shifter precoder with constant modulus constraint. The DNN-Fs is utilized to output the vectorized switch precoder with the binary constraint. The ‘Out’ layer is defined to obtain the vectorized analog precoder with constant modulus and binary constraints. Moreover, to further improve the real-time performance of hybrid precoding, a dynamic pruning technique is applied to remove the redundant parameters for the DPC-CNN model. Finally, the DPC-CNN is trained using the loss function with the residual between the vectorized analog precoders of the fully connected (FC) and DPC structures. Theoretical analyses and simulation experiments show that compared to the FC and partially connected structures, the proposed DPC-CNN hybrid precoding algorithm can achieve a balance between spectral efficiency and energy efficiency with less execution time.","PeriodicalId":13052,"journal":{"name":"IEEE Transactions on Green Communications and Networking","volume":"8 4","pages":"1361-1370"},"PeriodicalIF":5.3,"publicationDate":"2024-03-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142672043","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Energy Efficient Scheduling for Short Packet Communications With Finite Blocklength Coding 使用有限块长编码的短数据包通信节能调度

IF 5.3 2区计算机科学

IEEE Transactions on Green Communications and Networking Pub Date : 2024-03-10 DOI: 10.1109/TGCN.2024.3399810

Yuanrui Liu;Joohyun Lee;Chen Sun;Yuxing Han;Wei Chen

{"title":"Energy Efficient Scheduling for Short Packet Communications With Finite Blocklength Coding","authors":"Yuanrui Liu;Joohyun Lee;Chen Sun;Yuxing Han;Wei Chen","doi":"10.1109/TGCN.2024.3399810","DOIUrl":"https://doi.org/10.1109/TGCN.2024.3399810","url":null,"abstract":"Ultra-Reliable and Low-Latency Communications (URLLC) has attracted significant attention recently due to its substantial potential in industrial automation and autonomous driving, where both low latency and energy efficiency are critical. Finite blocklength coding has emerged as a promising technique to address latency concerns. However, applying the finite blocklength coding in the URLLC system, while ensuring energy efficiency, remains challenging. To tackle this issue, we focus on short-packet transmission systems and introduce a Lyapunov drift-based scheduling scheme. This scheme is designed to optimize the transmission rate for maximizing the system throughput to achieve the energy efficiency. We constrain the average power using the virtual power queue method. With the Lyapunov theory, the scheduling problem of the URLLC system is then formulated as a non-convex problem, which we tackle by decoupling the problem into multiple sub-problems and approximating higher-order terms using Taylor series expansion. Through simulations, we demonstrate that the performance of our proposed algorithm closely aligns with that of an optimal policy derived from the exhaustive search method.","PeriodicalId":13052,"journal":{"name":"IEEE Transactions on Green Communications and Networking","volume":"8 4","pages":"1645-1660"},"PeriodicalIF":5.3,"publicationDate":"2024-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142713811","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

QUERA: Q-Learning RPL Routing Mechanism to Establish Energy Efficient and Reliable Communications in Mobile IoT Networks QUERA：在移动物联网网络中建立节能可靠通信的 Q-Learning RPL 路由机制

IF 5.3 2区计算机科学

IEEE Transactions on Green Communications and Networking Pub Date : 2024-03-10 DOI: 10.1109/TGCN.2024.3399455

Sahar Rezagholi Lalani;Bardia Safaei;Amir Mahdi Hosseini Monazzah;Hossein Taghizadeh;Jörg Henkel;Alireza Ejlali

{"title":"QUERA: Q-Learning RPL Routing Mechanism to Establish Energy Efficient and Reliable Communications in Mobile IoT Networks","authors":"Sahar Rezagholi Lalani;Bardia Safaei;Amir Mahdi Hosseini Monazzah;Hossein Taghizadeh;Jörg Henkel;Alireza Ejlali","doi":"10.1109/TGCN.2024.3399455","DOIUrl":"https://doi.org/10.1109/TGCN.2024.3399455","url":null,"abstract":"Resource-limited mobile IoT networks are a dynamic, and uncertain wireless communicating system. In such systems, the standard RPL routing protocol cannot select long-lasting communication links due to not employing mobility-aware metrics, e.g., direction and speed of movements. While several classical heuristic approaches exist to improve PDR in RPL-based mobile networks, their solutions cannot adapt to alterations of the mobile topology. Hence, in this paper, by mapping the routing problem in mobile and resource-limited networks into an infinite-time horizon MDP, an energy-aware and reliable RPL-based routing mechanism based on Q-learning is proposed to improve PDR in mobile IoT networks. This routing mechanism, which is called QUERA, utilizes mobility and quality-aware metrics, including Time-to-Reside (TTR), ETX, and RSSI. Furthermore, QUERA probes and maintains stable candidates based on its neighbor table management policy. These two aspects mitigate the need for retransmissions due to packet loss leading to less energy dissipation. According to evaluations, QUERA improves energy consumption by up to 50% against the state-of-the-art. The efficiency of QUERA is also evaluated in terms of power distribution diagram, which shows significant improvement in the lifetime of IoT devices. It has also been observed that QUERA improves PDR in mobile networks by up to 12%.","PeriodicalId":13052,"journal":{"name":"IEEE Transactions on Green Communications and Networking","volume":"8 4","pages":"1824-1839"},"PeriodicalIF":5.3,"publicationDate":"2024-03-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142713400","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

Energy-Efficient Semantic Communication for Aerial-Aided Edge Networks 航空辅助边缘网络的高能效语义通信

IF 5.3 2区计算机科学

IEEE Transactions on Green Communications and Networking Pub Date : 2024-03-09 DOI: 10.1109/TGCN.2024.3399108

Guhan Zheng;Qiang Ni;Keivan Navaie;Haris Pervaiz;Aryan Kaushik;Charilaos Zarakovitis

{"title":"Energy-Efficient Semantic Communication for Aerial-Aided Edge Networks","authors":"Guhan Zheng;Qiang Ni;Keivan Navaie;Haris Pervaiz;Aryan Kaushik;Charilaos Zarakovitis","doi":"10.1109/TGCN.2024.3399108","DOIUrl":"https://doi.org/10.1109/TGCN.2024.3399108","url":null,"abstract":"Semantic communication holds promise for integration into future wireless networks, offering a potential enhancement in network spectrum efficiency. However, implementing semantic communication in aerial-aided edge networks (AENs) introduces unique challenges. Within AENs, semantic communication strategically substitutes part of the communication load with the computation load, aiming to boost spectrum efficiency. This departure from traditional communication paradigms introduces novel challenges, particularly in terms of energy efficiency. Furthermore, by adding complexity, the use of a semantic coder based on machine learning (ML) in AENs encounters real-time updating challenges, further amplifying energy costs in these complex and energy-limited environments. To address these challenges, we propose an energy-efficient semantic communication system tailored for AENs. Our approach includes a mathematical analysis of semantic communication energy consumption within AENs. To enhance energy efficiency, we introduce an energy-efficient game-theoretic incentive mechanism (EGTIM) designed to optimize semantic transmission within AENs. Moreover, considering the accurate and energy-efficient updating of semantic coders in AENs, we present a game-theoretic efficient distributed learning (GEDL) framework, building upon the foundations of the renewed EGTIM. Simulation results validate the effectiveness of our proposed EGTIM in improving energy efficiency. Additionally, the presented GEDL framework exhibits remarkable performance by increasing model training accuracy and concurrently decreasing training energy consumption.","PeriodicalId":13052,"journal":{"name":"IEEE Transactions on Green Communications and Networking","volume":"8 4","pages":"1742-1751"},"PeriodicalIF":5.3,"publicationDate":"2024-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142713764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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

IRS-Aided Non-Orthogonal ISAC Systems: Performance Analysis and Beamforming Design IRS 辅助非正交 ISAC 系统：性能分析和波束成形设计

IF 5.3 2区计算机科学

IEEE Transactions on Green Communications and Networking Pub Date : 2024-03-09 DOI: 10.1109/TGCN.2024.3399080

Zhouyuan Yu;Xiaoling Hu;Chenxi Liu;Mugen Peng

{"title":"IRS-Aided Non-Orthogonal ISAC Systems: Performance Analysis and Beamforming Design","authors":"Zhouyuan Yu;Xiaoling Hu;Chenxi Liu;Mugen Peng","doi":"10.1109/TGCN.2024.3399080","DOIUrl":"https://doi.org/10.1109/TGCN.2024.3399080","url":null,"abstract":"The fundamental performance of IRS-aided communication/sensing has been extensively studied, demonstrating the benefits of IRS in improving communication rate or sensing accuracy, while that of IRS-aided integrated sensing and communication (ISAC) and the impacts of IRS on the communication-sensing tradeoff are far from being well understood. In this paper, we investigate the fundamental performance of an IRS-aided non-orthogonal ISAC (NO-ISAC) system, where a distributed IRS is deployed to assist concurrent communication and location sensing, occupying non-orthogonal time-frequency resources. We use the modified Cramer-Rao lower bound (CRLB) to characterize the joint communication-sensing performance in a unified manner, and derive its closed-form expression, revealing that IRS affects the communication-sensing tradeoff by allocating its additional spatial resources. By exploiting the modified CRLB, we propose a joint active and passive beamforming algorithm that achieves a good communication-sensing tradeoff. Numerical results demonstrate the advantage of using the unified performance metric (i.e., modified CRLB) for IRS beamforming design over using the SNR metric, and the benefits of applying more IRS elements in enlarging the communication-sensing tradeoff region. Also, we demonstrate the superiority of IRS-aided NO-ISAC systems over IRS-aided time-division ISAC systems, and show IRS-aided NO-ISAC systems can achieve comparable localization performance to IRS-aided localization systems.","PeriodicalId":13052,"journal":{"name":"IEEE Transactions on Green Communications and Networking","volume":"8 4","pages":"1930-1942"},"PeriodicalIF":5.3,"publicationDate":"2024-03-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142679379","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"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