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

Near-Field Extremely Large-Scale STAR-RIS Enabled Integrated Sensing and Communications 近场超大规模STAR-RIS集成传感和通信

IF 5.3 2区计算机科学

IEEE Transactions on Green Communications and Networking Pub Date : 2024-09-17 DOI: 10.1109/TGCN.2024.3462491

Jingxuan Zhou;Yinchao Yang;Zhaohui Yang;Mohammad Reza Shikh-Bahaei

{"title":"Near-Field Extremely Large-Scale STAR-RIS Enabled Integrated Sensing and Communications","authors":"Jingxuan Zhou;Yinchao Yang;Zhaohui Yang;Mohammad Reza Shikh-Bahaei","doi":"10.1109/TGCN.2024.3462491","DOIUrl":"https://doi.org/10.1109/TGCN.2024.3462491","url":null,"abstract":"Extremely large-scale antenna arrays (ELAAs) are indispensable to meet the elevated key performance indicators (KPIs) for the sixth generation (6G) networks while leading to new challenges in the exploration of near-field system models. In response, we propose a near-field integrated sensing and communications (ISAC) system aided by an extremely large-scale simultaneously transmitting and reflecting reconfigurable intelligent surface (XL-STAR-RIS) and the fluid antenna (FA) in this paper. To precisely estimate the distance and angle of arrival (AoA) of the target while concurrently ensuring effective signal transmission to communication users, we formulate a joint minimization problem for Cramér-Rao bounds (CRBs) of the distance and AoA estimation mean square errors (MSEs). By optimizing the communication beamformer, the sensing signal covariance matrix, the XL-STAR-RIS phase shift, and the FA position vector, CRBs are minimized while ensuring desired communication performance. A double-loop iterative algorithm based on the penalty dual decomposition (PDD) and block coordinate descent (BCD) method is proposed to solve the non-convex problem by decomposing it into three subproblems and optimizing the coupling variables iteratively. Simulation results validate the superior performance of the proposed algorithm.","PeriodicalId":13052,"journal":{"name":"IEEE Transactions on Green Communications and Networking","volume":"9 1","pages":"404-416"},"PeriodicalIF":5.3,"publicationDate":"2024-09-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143403758","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 Efficiency Enhancement in RIS-Assisted Networks: Deployment and Phase Shifter Configuration ris辅助网络的能源效率提升：部署和移相器配置

IF 6.7 2区计算机科学

IEEE Transactions on Green Communications and Networking Pub Date : 2024-09-11 DOI: 10.1109/TGCN.2024.3457895

Donglin Jia;Yi Zhong;Xiaohang Zhou;Xiaohu Ge

{"title":"Energy Efficiency Enhancement in RIS-Assisted Networks: Deployment and Phase Shifter Configuration","authors":"Donglin Jia;Yi Zhong;Xiaohang Zhou;Xiaohu Ge","doi":"10.1109/TGCN.2024.3457895","DOIUrl":"https://doi.org/10.1109/TGCN.2024.3457895","url":null,"abstract":"This research presents a focused analysis of enhancing energy efficiency in wireless networks through the strategic deployment of Reconfigurable Intelligent Surfaces (RIS), incorporating an analysis of phase shifter configurations. Employing stochastic geometry, we establish an analytical framework to evaluate RIS’s influence on energy consumption across diverse deployment strategies and environmental conditions. Moving beyond the predominant focus on spectrum efficiency, this study emphasizes energy optimization, aligning with the sustainability goals of future wireless networks. Our models demonstrate that careful selection of phase shifter settings and RIS placement can substantially decrease energy use while preserving network performance, especially in environments fraught with interference and high node density. Additionally, we investigate the trade-offs between the number of phase shifters per RIS unit and their bit resolution, offering a nuanced understanding of their effects on energy efficiency. The findings underscore RIS’s integral role in promoting energy-efficient network architectures and provide concrete guidelines for the development of greener wireless communication technologies.","PeriodicalId":13052,"journal":{"name":"IEEE Transactions on Green Communications and Networking","volume":"9 3","pages":"1122-1137"},"PeriodicalIF":6.7,"publicationDate":"2024-09-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144880620","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

Dynamic Beam Pattern Based on Cooperation Multi-Agent VDN-D3QN for LEO Satellite Communication System 基于协作多智能体VDN-D3QN的LEO卫星通信系统动态波束方向图

IF 5.3 2区计算机科学

IEEE Transactions on Green Communications and Networking Pub Date : 2024-09-10 DOI: 10.1109/TGCN.2024.3457242

Meng Meng;Bo Hu;Shanzhi Chen;Shaoli Kang

{"title":"Dynamic Beam Pattern Based on Cooperation Multi-Agent VDN-D3QN for LEO Satellite Communication System","authors":"Meng Meng;Bo Hu;Shanzhi Chen;Shaoli Kang","doi":"10.1109/TGCN.2024.3457242","DOIUrl":"https://doi.org/10.1109/TGCN.2024.3457242","url":null,"abstract":"Due to the cooperative coverage characteristic of LEO satellites and non-uniform traffic demand of beam positions, allocating the limited beam and power resource to massive beam positions flexibly and effectively is a challenge in beam hopping LEO satellite communication system. The agents in existing beam hopping schemes, which rely on deep reinforcement learning, are limited to acquiring state information within the coverage area of LEO satellite. For this reason, we propose a cooperation multi-agent Value-Decomposition Networks with Dueling Double Deep Q-Learning Network (VDN-D3QN) framework to generate dynamic beam hopping pattern for assuring delay fairness and throughput among beam positions in LEO satellite communication system. The proposed VDN-D3QN dynamic beam hopping method is divided into training and test phase, where each agent is only responsible for the beam hopping pattern of one LEO satellite. During the train phase, the agents learn to cooperate with other agents to maximize the system throughput and minimize the delay fairness among beam positions by Dueling Double Deep Q-Learning Network. Then, the Value-Decomposition Networks is employed to learn the optimal policy in a centralized manner through interaction with the environment. In test phase, the trained agents are deployed to address the challenging problem of inter-satellite communication in a distributed manner, and one agent is deployed per LEO satellite. The trained agents can make decisions about the dynamic beam hopping pattern based on the available local state information in LEO satellite communication system. The evaluation results demonstrate that the proposed multi-agent VDN-D3QN algorithm can effectively handle the non-uniform traffic demand of multi-satellites simultaneously. Besides, the simulation results indicate that the proposed VDN-D3QN algorithm can allocate resource intelligently for adapting the requirements of beam positions and achieving better performance compared to the baselines.","PeriodicalId":13052,"journal":{"name":"IEEE Transactions on Green Communications and Networking","volume":"9 2","pages":"725-738"},"PeriodicalIF":5.3,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144117356","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

On the Energy-Efficiency Trade-Off Between Active and Passive Communications With RIS-Based Symbiotic Radio 基于ris的共生无线电有源与无源通信的能效权衡研究

IF 6.7 2区计算机科学

IEEE Transactions on Green Communications and Networking Pub Date : 2024-09-04 DOI: 10.1109/TGCN.2024.3454539

Sihan Wang;Jingran Xu;Yong Zeng

{"title":"On the Energy-Efficiency Trade-Off Between Active and Passive Communications With RIS-Based Symbiotic Radio","authors":"Sihan Wang;Jingran Xu;Yong Zeng","doi":"10.1109/TGCN.2024.3454539","DOIUrl":"https://doi.org/10.1109/TGCN.2024.3454539","url":null,"abstract":"Symbiotic radio (SR) is a promising technology to realize spectrum- and energy-efficient wireless systems. The key idea of SR is to use cognitive backscattering communication to achieve mutualistic spectrum and energy sharing with passive backscatter devices (BDs). In this paper, a reconfigurable intelligent surface (RIS) based SR system is considered, where the RIS is used not only to assist the primary active communication, but also for passive communication to transmit its own information. For the considered system, we investigate the energy efficiency (EE) trade-off between active and passive communications, by characterizing the EE region. To gain some insights, we first derive the maximum achievable individual EEs of the primary transmitter (PT) and RIS, respectively, and then analyze the asymptotic performance by exploiting the channel hardening effect. To characterize the non-trivial EE trade-off, we formulate an optimization problem to find the Pareto boundary of the EE region by jointly optimizing the transmit beamforming, power allocation and the passive beamforming of RIS. The formulated problem is non-convex, and an efficient algorithm is proposed by decomposing it into a series of subproblems by using alternating optimization (AO) and successive convex approximation (SCA) techniques. Finally, simulation results are presented to validate the effectiveness of the proposed algorithm.","PeriodicalId":13052,"journal":{"name":"IEEE Transactions on Green Communications and Networking","volume":"9 3","pages":"1107-1121"},"PeriodicalIF":6.7,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144880513","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

Enabling Green and Delay-Aware 5G Edge Through Shared Cloud-Native Network Functions 通过共享云原生网络功能实现绿色和延迟感知5G边缘

IF 5.3 2区计算机科学

IEEE Transactions on Green Communications and Networking Pub Date : 2024-09-03 DOI: 10.1109/TGCN.2024.3454190

Ömer Zekvan Yılmaz;Fatih Alagöz

{"title":"Enabling Green and Delay-Aware 5G Edge Through Shared Cloud-Native Network Functions","authors":"Ömer Zekvan Yılmaz;Fatih Alagöz","doi":"10.1109/TGCN.2024.3454190","DOIUrl":"https://doi.org/10.1109/TGCN.2024.3454190","url":null,"abstract":"Satisfying the resource requirements of Network Functions (NFs) in an environmentally friendly and cost-effective way is a challenging task for cloud providers. The placement and resource allocation procedures for these NFs should address the Quality of Service (QoS) constraints, which result in ‘underutilized resources’. Network slicing offers solutions to reduce costs through resource sharing; however, sharing NFs, which obviously contributes to achieving QoS in a cost-effective way, has not been adequately considered in the literature. Moreover, the existing research on shared NF placement so far mostly uses NP-Hard algorithms. In this paper, we propose a cloud-native NF (CNF) sharing model and a heuristic (D-CNFSH) that is delay-aware and cost-effective for 5G edge networks by extending our previous work, CNFSH (Yılmaz and Alagöz, 2023), which focuses on NF sharing in the 5G core without considering delay. In addition, we introduce a performance isolation mechanism that maintains the high availability (HA) of high-priority slices while exploiting shared NFs. We also propose a novel metric, the ratio of underutilized resources to allocated resources, clearly showing the effect of sharing. This ratio is around 30% with NoShare schemes, while less than 0.4% is achieved with D-CNFSH, indicating a green 5G implementation that serves more network slices with less resource consumption.","PeriodicalId":13052,"journal":{"name":"IEEE Transactions on Green Communications and Networking","volume":"9 2","pages":"549-560"},"PeriodicalIF":5.3,"publicationDate":"2024-09-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144117192","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

Blockchain-Based Privacy-Preserving and Accountable Mobile Edge Outsourcing Computing Framework for the Metaverse 基于区块链的隐私保护和负责任的移动边缘外包计算框架

IF 5.3 2区计算机科学

IEEE Transactions on Green Communications and Networking Pub Date : 2024-08-29 DOI: 10.1109/TGCN.2024.3451513

Chunpei Li;Chen Liu;Peng Liu;Xianxian Li;Wangjie Qiu;Lei Lei;Yanli Jin

{"title":"Blockchain-Based Privacy-Preserving and Accountable Mobile Edge Outsourcing Computing Framework for the Metaverse","authors":"Chunpei Li;Chen Liu;Peng Liu;Xianxian Li;Wangjie Qiu;Lei Lei;Yanli Jin","doi":"10.1109/TGCN.2024.3451513","DOIUrl":"https://doi.org/10.1109/TGCN.2024.3451513","url":null,"abstract":"Mobile Edge Computing (MEC) enables Metaverse Terminal Devices (MTD) to perform complex tasks, including graphic rendering and physical simulation, by leveraging low-latency outsourced computing. However, existing research has not fully addressed the challenge of establishing an efficient outsourced computing service within an open and dynamic MEC environment that simultaneously ensures privacy and accountability. To address this, we proposes a blockchain-based privacy-preserving and accountable mobile edge outsourcing computing framework for the Metaverse, termed Meta-BMEOC. Specifically, we have designed an outsourcing computing protocol based on smart contracts and threshold secret sharing, enabling MTD to outsource tasks to multiple edge servers while preserving privacy. Furthermore, we have developed an off-chain smart contract protocol based on a Trusted Execution Environment. This protocol is designed to reduce the risk of malicious edge servers colluding to reconstruct the computational tasks of MTD, and it enables accountability for servers that return erroneous results. Additionally, we designed an incentive mechanism to resist malicious attacks and ensure system security and stability. Security analysis and experimental evaluation show that Meta-BMEOC not only ensures the privacy and accountability of outsourced computing but also provides outsourced computing services with lower computational latency.","PeriodicalId":13052,"journal":{"name":"IEEE Transactions on Green Communications and Networking","volume":"9 2","pages":"711-724"},"PeriodicalIF":5.3,"publicationDate":"2024-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144117175","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

IEEE Transactions on Green Communications and Networking 电气和电子工程师学会绿色通信与网络论文集

IF 5.3 2区计算机科学

IEEE Transactions on Green Communications and Networking Pub Date : 2024-08-28 DOI: 10.1109/TGCN.2024.3443722

引用次数: 0

GatS-Net: GAT-Based Superimposed CSI Feedback GatS-Net：基于gats的叠加CSI反馈

IF 5.3 2区计算机科学

IEEE Transactions on Green Communications and Networking Pub Date : 2024-08-28 DOI: 10.1109/TGCN.2024.3451247

Chaojin Qing;Zilong Wang;Qing Ye;Wenhui Liu;Jiafan Wang;Xi Cai

{"title":"GatS-Net: GAT-Based Superimposed CSI Feedback","authors":"Chaojin Qing;Zilong Wang;Qing Ye;Wenhui Liu;Jiafan Wang;Xi Cai","doi":"10.1109/TGCN.2024.3451247","DOIUrl":"https://doi.org/10.1109/TGCN.2024.3451247","url":null,"abstract":"In massive multiple-input and multiple-output (mMIMO) systems, the superimposed channel state information (CSI) feedback is employed to reduce feedback overhead. However, due to the need to suppress superimposed interference, challenges such as low recovery accuracy, high computational complexity, and large processing delay are inevitable. To address these issues, we propose a novel graph attention network (GAT)-based superimposed interference suppression network (GatS-Net) to recover downlink CSI and uplink data sequences (UL-DS). The scheme leverages the dynamic time and spatial correlation features learned by GAT and the coherent feature of downlink CSI to suppress superimposed interference. At the base station (BS), initial feature extraction is performed to equalize the impact of uplink CSI, allowing GAT to learn alongside the extracted features. Subsequently, the lightweight GatS-Net is constructed by utilizing both the coherent and extracted features. Our proposed method combines model-driven and data-driven approaches, incorporates attention mechanisms, and employs multi-task learning. Simulation results demonstrate that the proposed method effectively improves the recovery performance of downlink CSI and UL-DS with reduced computational complexity and processing delay. Furthermore, compared with both classic and novel superimposed CSI feedback methods, the proposed method exhibits its robustness against parameter variations.","PeriodicalId":13052,"journal":{"name":"IEEE Transactions on Green Communications and Networking","volume":"9 2","pages":"536-548"},"PeriodicalIF":5.3,"publicationDate":"2024-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144117174","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

Guest Editorial Special Issue on Green Open Radio Access Networks: Architecture, Challenges, Opportunities, and Use Cases 客座编辑特刊：绿色开放式无线接入网络：架构、挑战、机遇和用例

IF 5.3 2区计算机科学

IEEE Transactions on Green Communications and Networking Pub Date : 2024-08-28 DOI: 10.1109/TGCN.2024.3441148

Kapal Dev;Chih-Lin I;Raouf Boutaba;Sunder Ali Khowaja;Shao-Yu Lien;Yue Wang

引用次数: 0

IEEE Communications Society Information IEEE 通信学会信息

IF 5.3 2区计算机科学

IEEE Transactions on Green Communications and Networking Pub Date : 2024-08-28 DOI: 10.1109/TGCN.2024.3443724

引用次数: 0