IEEE Transactions on Green Communications and Networking最新文献_第2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

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

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

Energy-Efficient and Robust Communication in Multi-Connectivity Enabled mmWave Ultra-Dense Networks 支持多连接的毫米波超密集网络中的节能和鲁棒通信

IF 5.3 2区计算机科学

IEEE Transactions on Green Communications and Networking Pub Date : 2024-08-27 DOI: 10.1109/TGCN.2024.3450524

Jungjun Kim;Jihwan Lee;Saewoong Bahk

{"title":"Energy-Efficient and Robust Communication in Multi-Connectivity Enabled mmWave Ultra-Dense Networks","authors":"Jungjun Kim;Jihwan Lee;Saewoong Bahk","doi":"10.1109/TGCN.2024.3450524","DOIUrl":"https://doi.org/10.1109/TGCN.2024.3450524","url":null,"abstract":"The ultra-dense network (UDN) concept with multi-connectivity (MC) has emerged as a promising scenario for millimeter-wave (mmWave) communications due to its synergistic effect. However, mmWave UDNs with MC face challenges such as escalated energy consumption and computational complexity for traffic splitting decisions. To save energy and reduce the need for frequent traffic splitting decisions in the considered scenario, we formulate the problem as a mixed integer programming (MIP). Our objective is to determine which base stations (BSs) to enable for energy saving and how to split user traffic to maintain robust communication in MC enabled UDNs. To this end, this paper proposes <italic>energy-efficient and robust communication (<italic>EERC), an ensemble of heuristic methods and convex optimization, to achieve our goal without directly solving the computationally expensive MIP. In addition, we consider greedy algorithm that potentially offers enhanced optimality. We analyze the complexity of each scheme and demonstrate that <italic>EERC is the most viable option considering both performance and complexity. Through extensive simulations, we demonstrate that <italic>EERC achieves over 98% optimality for small-sized networks. More importantly, we evaluate <italic>EERC in realistic scenarios using a 3-D ray-tracing simulator and confirm that <italic>EERC performs very well even in urban terrain environments with buildings.","PeriodicalId":13052,"journal":{"name":"IEEE Transactions on Green Communications and Networking","volume":"9 2","pages":"621-634"},"PeriodicalIF":5.3,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144117357","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

An Energy Efficient Access and Handover Authentication Scheme for 6G Satellite-Terrestrial Integrated Network 一种高效节能的6G星地一体网接入与切换认证方案

IF 5.3 2区计算机科学

IEEE Transactions on Green Communications and Networking Pub Date : 2024-08-27 DOI: 10.1109/TGCN.2024.3450515

Zisang Xu;Hao Peng;Ke Gu;Xiong Li;Peng Huang

{"title":"An Energy Efficient Access and Handover Authentication Scheme for 6G Satellite-Terrestrial Integrated Network","authors":"Zisang Xu;Hao Peng;Ke Gu;Xiong Li;Peng Huang","doi":"10.1109/TGCN.2024.3450515","DOIUrl":"https://doi.org/10.1109/TGCN.2024.3450515","url":null,"abstract":"6G Satellite-Terrestrial Integrated Network (STIN) extends connectivity services globally, attracting an increasing number of users to access the Internet with its advantages of wide coverage, high speed, and large capacity. However, the complex communication environments, such as link exposure and high dynamics of satellites in the network, pose challenges to designing authentication schemes that are applicable to 6G STIN. Although researchers have proposed many authentication schemes for 6G STIN, most of them have only focused on access authentication, which cannot guarantee the stability of subsequent communications. A few schemes have considered providing seamless services through handover authentication, but they still face issues such as security vulnerabilities and high energy consumption. To tackle these issues, this paper proposes an energy efficient authentication scheme for 6G STIN, capable of achieving mutual authentication between entities and negotiating a secure session key. Additionally, it designs a handover mechanism that is more suitable for 6G STIN and supports handover authentication for multiple users. Through security analysis, our scheme is proven to withstand various attacks, and its security is further verified using the ProVerif tool. Performance analysis shows that our scheme has lower authentication latency and communication overhead, while reducing energy consumption and ensuring security.","PeriodicalId":13052,"journal":{"name":"IEEE Transactions on Green Communications and Networking","volume":"9 2","pages":"684-697"},"PeriodicalIF":5.3,"publicationDate":"2024-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144117180","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