IEEE journal on selected areas in communications : a publication of the IEEE Communications Society最新文献_第2页

Guest Editorial Advanced Optimization Theory and Algorithms for Next-Generation Wireless Communication Networks 特邀编辑下一代无线通信网络的高级优化理论与算法

IEEE journal on selected areas in communications : a publication of the IEEE Communications Society Pub Date : 2024-10-17 DOI: 10.1109/JSAC.2024.3443808

Ya-Feng Liu;Tsung-Hui Chang;Mingyi Hong;Anthony Man-Cho So;Eduard A. Jorswieck;Wei Yu

引用次数: 0

Satellites Beam Hopping Scheduling for Interference Avoidance 卫星波束跳变调度以避免干扰

IEEE journal on selected areas in communications : a publication of the IEEE Communications Society Pub Date : 2024-10-10 DOI: 10.1109/JSAC.2024.3459083

Huimin Deng;Kai Ying;Daquan Feng;Lin Gui;Yuanzhi He;Xiang-Gen Xia

{"title":"Satellites Beam Hopping Scheduling for Interference Avoidance","authors":"Huimin Deng;Kai Ying;Daquan Feng;Lin Gui;Yuanzhi He;Xiang-Gen Xia","doi":"10.1109/JSAC.2024.3459083","DOIUrl":"10.1109/JSAC.2024.3459083","url":null,"abstract":"The deployment of low earth orbit (LEO) satellites megaconstellations presents a promising way for achieving global coverage and service, attributed to their comparatively low round-trip latency and launch costs. However, this surge in LEO satellite launches exacerbates the scarcity of the limited spectrum resources. Spectrum sharing between satellite constellations and terrestrial networks and beam hopping (BH) technology emerge as viable strategies to mitigate this spectrum shortage. To enhance spectrum efficiency and avoid serious inter-system interference, we investigate the beam hopping scheduling of satellites for interference avoidance. The beam hopping scheduling of the integrated satellite-terrestrial wireless networks system is formulated as throughput-driven beam hopping (TDBH) problem and satisfaction-rate-driven beam hopping (SDBH) problem, respectively. In particular, we decompose the TDBH problem into two sub-problems by relaxation, and a genetic algorithm (GA) is introduced to handle the SDBH problem. The impact of channel conditions and traffic load intensity on the satellite system throughput is analyzed in TDBH simulation. As for SDBH optimization problem, the simulation results show that the proposed GA algorithm improves the average traffic satisfaction rate by 16.96% at least, compared with other benchmarks and suits to scenarios with different traffic demands and fading channel conditions.","PeriodicalId":73294,"journal":{"name":"IEEE journal on selected areas in communications : a publication of the IEEE Communications Society","volume":"42 12","pages":"3647-3658"},"PeriodicalIF":0.0,"publicationDate":"2024-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10713888","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142405388","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Traffic-Aware Lightweight Hierarchical Offloading Toward Adaptive Slicing-Enabled SAGIN 流量感知轻量级分层卸载，实现自适应切片 SAGIN

IEEE journal on selected areas in communications : a publication of the IEEE Communications Society Pub Date : 2024-10-03 DOI: 10.1109/JSAC.2024.3459020

Zheyi Chen;Junjie Zhang;Geyong Min;Zhaolong Ning;Jie Li

{"title":"Traffic-Aware Lightweight Hierarchical Offloading Toward Adaptive Slicing-Enabled SAGIN","authors":"Zheyi Chen;Junjie Zhang;Geyong Min;Zhaolong Ning;Jie Li","doi":"10.1109/JSAC.2024.3459020","DOIUrl":"10.1109/JSAC.2024.3459020","url":null,"abstract":"The emerging Space-Air-Ground Integrated Networks (SAGIN) empower Mobile Edge Computing (MEC) with wider communication coverage and more flexible network access. However, the fluctuating user traffic and constrained computing architecture seriously hinder the Quality-of-Service (QoS) and resource utilization in SAGIN. Existing solutions generally depend on prior knowledge or adopt static resource provisioning, lacking adaptability and resulting in serious system overheads. To address these important challenges, we propose THOAS, a novel Traffic-aware lightweight Hierarchical Offloading framework towards Adaptive Slicing-enabled SAGIN. First, we innovatively separate SAGIN into Communication Access Platforms (CAPs) and Computation Offloading Platforms (COPs). Next, we design a new self-attention-based prediction method to accurately capture the traffic changes on each platform, enabling adaptive slice resource adjustments. Finally, we develop an improved deep reinforcement learning method based on proximal clipping with dynamic confidence intervals to reach optimal offloading. Notably, we employ knowledge distillation to compress offloading policies into lightweight networks, enhancing their adaptability in resource-limited SAGIN. Using real-world datasets of user traffic, extensive experiments are conducted. The results show that the THOAS can accurately predict traffic and make adaptive resource adjustments and offloading decisions, which outperforms other benchmark methods on multiple metrics under various scenarios.","PeriodicalId":73294,"journal":{"name":"IEEE journal on selected areas in communications : a publication of the IEEE Communications Society","volume":"42 12","pages":"3536-3550"},"PeriodicalIF":0.0,"publicationDate":"2024-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142374308","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","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 Hierarchical Collaborative Learning Over LEO Satellite Constellations 低地轨道卫星星座上的高能效分级协作学习

IEEE journal on selected areas in communications : a publication of the IEEE Communications Society Pub Date : 2024-09-30 DOI: 10.1109/JSAC.2024.3459021

Long Luo;Chi Zhang;Hongfang Yu;Zonghang Li;Gang Sun;Shouxi Luo

{"title":"Energy-Efficient Hierarchical Collaborative Learning Over LEO Satellite Constellations","authors":"Long Luo;Chi Zhang;Hongfang Yu;Zonghang Li;Gang Sun;Shouxi Luo","doi":"10.1109/JSAC.2024.3459021","DOIUrl":"10.1109/JSAC.2024.3459021","url":null,"abstract":"The hierarchical collaborative learning within Low Earth Orbit (LEO) satellite constellations, termed LEO-HCL, is gaining increasing popularity by integrating intra-orbit Inter-Satellite Links and orbital edge computing to alleviate the latency issues caused by intermittent satellite connectivity in satellite-ground training architectures. However, LEO-HCL systems are confronted with a triad of challenges: the variable topology induced by satellite mobility, limited onboard computing and communication resources, and stringent energy constraints. In response to these challenges, we propose an energy-efficient training algorithm called FedAAC, which adaptively optimizes both aggregation frequency and model compression ratio within the resource-constrained LEO network. We have conducted a theoretical analysis of model convergence and investigated the relationship between convergence, aggregation frequency, and model compression ratio. Building on this analysis, we offer an approximation algorithm that dynamically calculates the optimal aggregation frequency and compression ratio during the training process. Extensive simulations have demonstrated that FedAAC significantly outperforms existing methods, offering enhanced convergence speed and energy efficiency. Compared to prior solutions, FedAAC achieves a 60% reduction in energy consumption, a 70% decrease in training time, and a 52% lower communication overhead.","PeriodicalId":73294,"journal":{"name":"IEEE journal on selected areas in communications : a publication of the IEEE Communications Society","volume":"42 12","pages":"3366-3379"},"PeriodicalIF":0.0,"publicationDate":"2024-09-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142360309","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

FastTS: Enabling Fault-Tolerant and Time-Sensitive Scheduling in Space-Terrestrial Integrated Networks FastTS：在空地一体化网络中实现容错和时间敏感调度

IEEE journal on selected areas in communications : a publication of the IEEE Communications Society Pub Date : 2024-09-23 DOI: 10.1109/JSAC.2024.3459008

Guoyu Peng;Shuo Wang;Tao Huang;Fengtao Li;Kangzhe Zhao;Yudong Huang;Zehui Xiong

{"title":"FastTS: Enabling Fault-Tolerant and Time-Sensitive Scheduling in Space-Terrestrial Integrated Networks","authors":"Guoyu Peng;Shuo Wang;Tao Huang;Fengtao Li;Kangzhe Zhao;Yudong Huang;Zehui Xiong","doi":"10.1109/JSAC.2024.3459008","DOIUrl":"10.1109/JSAC.2024.3459008","url":null,"abstract":"The emerging space-terrestrial integrated network (STIN) assumes a pivotal role within the 6G vision, promising to deliver seamless global coverage and connectivity. Achieving advanced, high-reliability, and time-sensitive (TS) services in a resource-constrained and failure-prone space environment is critical, but also presents challenges. Existing space-terrestrial communication approaches either suffer from temporary link failures with unstable reliability, or intolerable service latency due to the extensive coverage and uneven traffic distribution. This paper presents FastTS, a heuristic resilient and performant scheduling strategy to achieve fault-tolerant and time-sensitive scheduling in futuristic STINs. First, we model the high-dynamic and failure-prone topology in space, and formulate the scheduling problem as a mixed non-linear problem with the objective of minimizing the average task completion time. To approach the optimal solution, joint time-variant routing and frame replication and elimination for reliability (FRER) redundancy under resource constraints are formally considered in our design. During the path-stable duration, FastTS prioritizes the multipath selection with higher redundancy scores, all while ensuring a bounded low latency for TS services based on time-sensitive networking (TSN) techniques. Specifically, our FastTS is divided into three phases: time-sensitive multipath generation (TMG), series-parallel redundancy scoring (SPRS), and SPRS-based time-variant routing (STR). Finally, simulation results show that FastTS exhibits outstanding performance improvements in terms of packet delay, scheduling success ratio, task completion time and packet loss rate, when compared to other state-of-the-art methods.","PeriodicalId":73294,"journal":{"name":"IEEE journal on selected areas in communications : a publication of the IEEE Communications Society","volume":"42 12","pages":"3551-3565"},"PeriodicalIF":0.0,"publicationDate":"2024-09-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142313764","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

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IEEE Communications Society Information IEEE 通信学会信息

IEEE journal on selected areas in communications : a publication of the IEEE Communications Society Pub Date : 2024-09-18 DOI: 10.1109/JSAC.2024.3447313

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IEEE Open Access Publishing IEEE 开放存取出版

IEEE journal on selected areas in communications : a publication of the IEEE Communications Society Pub Date : 2024-09-18 DOI: 10.1109/JSAC.2024.3447371

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TechRxiv: Share Your Preprint Research With the World! TechRxiv：与世界分享您的预印本研究成果！

IEEE journal on selected areas in communications : a publication of the IEEE Communications Society Pub Date : 2024-09-18 DOI: 10.1109/JSAC.2024.3447369

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Guest Editorial Positioning and Sensing Over Wireless Networks—Part II 特邀编辑无线网络定位与传感--第二部分

IEEE journal on selected areas in communications : a publication of the IEEE Communications Society Pub Date : 2024-09-18 DOI: 10.1109/JSAC.2024.3423628

Yang Yang;Mingzhe Chen;Yufei Blankenship;Jemin Lee;Zabih Ghassemlooy;Julian Cheng;Shiwen Mao

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IEEE Journal on Selected Areas in Communications Publication Information 电气和电子工程师学会通信领域精选期刊》（IEEE Journal on Selected Areas in Communications）出版信息

IEEE journal on selected areas in communications : a publication of the IEEE Communications Society Pub Date : 2024-09-18 DOI: 10.1109/JSAC.2024.3447311

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