IEEE journal on selected areas in communications : a publication of the IEEE Communications Society最新文献_第10页

Quantum-Enhanced DRL Optimization for DoA Estimation and Task Offloading in ISAC Systems 量子增强型 DRL 优化用于 ISAC 系统中的 DoA 估算和任务卸载

IEEE journal on selected areas in communications : a publication of the IEEE Communications Society Pub Date : 2024-09-13 DOI: 10.1109/JSAC.2024.3460061

Anal Paul;Keshav Singh;Aryan Kaushik;Chih-Peng Li;Octavia A. Dobre;Marco Di Renzo;Trung Q. Duong

{"title":"Quantum-Enhanced DRL Optimization for DoA Estimation and Task Offloading in ISAC Systems","authors":"Anal Paul;Keshav Singh;Aryan Kaushik;Chih-Peng Li;Octavia A. Dobre;Marco Di Renzo;Trung Q. Duong","doi":"10.1109/JSAC.2024.3460061","DOIUrl":"10.1109/JSAC.2024.3460061","url":null,"abstract":"This work proposes a quantum-aided deep reinforcement learning (DRL) framework designed to enhance the accuracy of direction-of-arrival (DoA) estimation and the efficiency of computational task offloading in integrated sensing and communication systems. Traditional DRL approaches face challenges in handling high-dimensional state spaces and ensuring convergence to optimal policies within complex operational environments. The proposed quantum-aided DRL framework that operates in a military surveillance system exploits quantum computing’s parallel processing capabilities to encode operational states and actions into quantum states, significantly reducing the dimensionality of the decision space. For the very first time in literature, we propose a quantum-enhanced actor-critic method, utilizing quantum circuits for policy representation and optimization. Through comprehensive simulations, we demonstrate that our framework improves DoA estimation accuracy by 91.66% and 82.61% over existing DRL algorithms with faster convergence rate, and effectively manages the trade-off between sensing and communication and by optimizing task offloading decisions under stringent ultra-reliable low-latency communication requirements. Comparative analysis also reveals that our approach reduces the overall task offloading latency by 43.09% and 32.35% compared to the DRL-based deep deterministic policy gradient and proximal policy optimization algorithms, respectively.","PeriodicalId":73294,"journal":{"name":"IEEE journal on selected areas in communications : a publication of the IEEE Communications Society","volume":"43 1","pages":"364-381"},"PeriodicalIF":0.0,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142231223","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

Coordinated Multi-Satellite Transmission for OTFS-Based 6G LEO Satellite Communication Systems 基于 OTFS 的 6G LEO 卫星通信系统的多卫星协调传输

IEEE journal on selected areas in communications : a publication of the IEEE Communications Society Pub Date : 2024-09-13 DOI: 10.1109/JSAC.2024.3460108

Zhengquan Zhang;Yuchen Wu;Zheng Ma;Xianfu Lei;Lei Lei;Zhiqiang Wei

{"title":"Coordinated Multi-Satellite Transmission for OTFS-Based 6G LEO Satellite Communication Systems","authors":"Zhengquan Zhang;Yuchen Wu;Zheng Ma;Xianfu Lei;Lei Lei;Zhiqiang Wei","doi":"10.1109/JSAC.2024.3460108","DOIUrl":"10.1109/JSAC.2024.3460108","url":null,"abstract":"Low Earth orbit (LEO) satellite communications are the key enabler for achieving 6G ubiquitous connectivity. With the rapid progress of small satellite technology and the surging demands on direct-to-satellite services, a global wave of building LEO satellite constellations has been arisen. LEO satellite communications are the typical high mobility scenarios and suffer from severe Doppler effects. To overcome this challenge, orthogonal time frequency space (OTFS)-based LEO satellite communications have recently been studied, which exploit high mobility to obtain delay-Doppler diversity. However, due to limited satellite transmit power and very long propagation distance, the satellite-to-ground (S2G) links are very weak, and also suffer from inter-beam and inter-satellite interference. In this paper, we study coordinated multi-satellite transmission for OTFS-based LEO satellite communications to significantly improve the performance of S2G transmission, through enabling multiple satellites to cooperatively serve ground users. Furthermore, considering different delay and Doppler offsets among cooperative LEO satellites, we propose simultaneous pilots-based aggregate channel estimation (SP-ACE) scheme to improve channel estimation, which aggregately estimates the channels in S2G joint transmission by regarding the channels of all cooperative links as a single channel. Besides integer Doppler, we also consider fractional Doppler and propose three-stage peak-searching correlation (PSC)-based fractional Doppler estimation. Finally, simulations are conducted and the results demonstrate the effectiveness of the proposed coordinated multi-satellite transmission scheme, SP-ACE and three-stage PSC fractional Doppler estimation schemes.","PeriodicalId":73294,"journal":{"name":"IEEE journal on selected areas in communications : a publication of the IEEE Communications Society","volume":"43 1","pages":"156-170"},"PeriodicalIF":0.0,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142231228","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

Resilient Massive Access for SAGIN: A Deep Reinforcement Learning Approach SAGIN 的弹性大规模访问：一种深度强化学习方法

IEEE journal on selected areas in communications : a publication of the IEEE Communications Society Pub Date : 2024-09-13 DOI: 10.1109/JSAC.2024.3460030

Chaowei Wang;Mingliang Pang;Tong Wu;Feifei Gao;Lingli Zhao;Jiabin Chen;Wenyuan Wang;Dongming Wang;Zhi Zhang;Ping Zhang

{"title":"Resilient Massive Access for SAGIN: A Deep Reinforcement Learning Approach","authors":"Chaowei Wang;Mingliang Pang;Tong Wu;Feifei Gao;Lingli Zhao;Jiabin Chen;Wenyuan Wang;Dongming Wang;Zhi Zhang;Ping Zhang","doi":"10.1109/JSAC.2024.3460030","DOIUrl":"10.1109/JSAC.2024.3460030","url":null,"abstract":"In the visionary ideals of “Internet of Everything” and “Digital Twins”, the future 6G will deeply integrate diverse heterogeneous networks such as satellite and aerial networks to support seamless connectivity and efficient interoperability, also known as space-air-ground integrated networks (SAGIN), in which the grant-free uplink random access based on Slotted ALOHA (S-ALOHA) can reduce access latency and complexity for massive Internet of Things (IoT) devices. However, with the increasing number of IoT users, the collision probability of S-ALOHA escalates and further degrades the system performance. In this paper, we focus on the massive IoT device uplink access in SAGIN aided by high altitude platform stations (HAPS), investigating power allocation for IoT devices to maximize system access capability and spectral efficiency (SE). Specifically, we first optimize 3D deployment of HAPS. Then the resilient massive access (RMA) based on flexible fusion of S-ALOHA and non-orthogonal multiple access methods is proposed. To maximize system SE with device power constraints, we model the sequential decision problem as a Markov decision process and solve it with the Advantage Actor-Critic (A2C) algorithm. Simulation results demonstrate the proposed RMA can significantly improve the IoT terminal successful access probability and the resource scheduling based on A2C also significantly increases the system SE with low complexity.","PeriodicalId":73294,"journal":{"name":"IEEE journal on selected areas in communications : a publication of the IEEE Communications Society","volume":"43 1","pages":"297-313"},"PeriodicalIF":0.0,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142231222","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

Distributionally Robust Optimization of On-Orbit Resource Scheduling for Remote Sensing in Space-Air-Ground Integrated 6G Networks 天-空-地一体化 6G 网络中遥感轨道资源调度的分布式稳健优化

IEEE journal on selected areas in communications : a publication of the IEEE Communications Society Pub Date : 2024-09-13 DOI: 10.1109/JSAC.2024.3460057

Jiachen Sun;Xu Chen;Chunxiao Jiang;Song Guo

{"title":"Distributionally Robust Optimization of On-Orbit Resource Scheduling for Remote Sensing in Space-Air-Ground Integrated 6G Networks","authors":"Jiachen Sun;Xu Chen;Chunxiao Jiang;Song Guo","doi":"10.1109/JSAC.2024.3460057","DOIUrl":"10.1109/JSAC.2024.3460057","url":null,"abstract":"With the rapid development of on-board computing technology, on-orbit information processing has become a new direction for reducing service response delays and improving the quality of space-based information services. Especially in space-air–ground integrated applications in 6G networks, remote sensing image processing tasks are highly important because of their critical role in applications such as environmental monitoring and public safety. However, the fluctuations in data volume due to significant scene differences, along with the limitations in individual satellite capabilities caused by size and power constraints, present new challenges for on-orbit image processing. To address these challenges, we model a data-driven on-orbit resource scheduling problem for space-air-ground integrated networks based on distributionally robust optimization, aiming to minimize the average image processing delay. We first construct an ambiguity set based on the Wasserstein distance and the historical distribution of image data, which helps transform the original upper-bound expectation problem into an explicitly expressed mixed-integer nonlinear (MINLP) problem. Furthermore, to reduce complexity and expedite the solution process, we decouple the MINLP problem into three subproblems using the block coordinate descent method and designed an iterative solving algorithm. The numerical results demonstrate that our proposed method achieves better fitting accuracy than traditional methods and reduces the average image processing delay.","PeriodicalId":73294,"journal":{"name":"IEEE journal on selected areas in communications : a publication of the IEEE Communications Society","volume":"43 1","pages":"382-395"},"PeriodicalIF":0.0,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142231232","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

Massive MIMO-OTFS-Based Random Access for Cooperative LEO Satellite Constellations 基于大规模 MIMO-OTFS 的低地轨道卫星合作星座随机接入

IEEE journal on selected areas in communications : a publication of the IEEE Communications Society Pub Date : 2024-09-13 DOI: 10.1109/JSAC.2024.3460064

Boxiao Shen;Yongpeng Wu;Shiqi Gong;Heng Liu;Björn Ottersten;Wenjun Zhang

{"title":"Massive MIMO-OTFS-Based Random Access for Cooperative LEO Satellite Constellations","authors":"Boxiao Shen;Yongpeng Wu;Shiqi Gong;Heng Liu;Björn Ottersten;Wenjun Zhang","doi":"10.1109/JSAC.2024.3460064","DOIUrl":"10.1109/JSAC.2024.3460064","url":null,"abstract":"This paper investigates joint device identification, channel estimation, and symbol detection for cooperative multi-satellite-enhanced random access, where orthogonal time-frequency space modulation with the large antenna array is utilized to combat the dynamics of the terrestrial-satellite links (TSLs). We introduce the generalized complex exponential basis expansion model to parameterize TSLs, thereby reducing the pilot overhead. By exploiting the block sparsity of the TSLs in the angular domain, a message passing algorithm is designed for initial channel estimation. Subsequently, we examine two cooperative modes to leverage the spatial diversity within satellite constellations: the centralized mode, where computations are performed at a high-power central server, and the distributed mode, where computations are offloaded to edge satellites with minimal signaling overhead. Specifically, in the centralized mode, device identification is achieved by aggregating backhaul information from edge satellites, and channel estimation and symbol detection are jointly enhanced through a structured approximate expectation propagation (AEP) algorithm. In the distributed mode, edge satellites share channel information and exchange soft information about data symbols, leading to a distributed version of AEP. The introduced basis expansion model for TSLs enables the efficient implementation of both centralized and distributed algorithms via fast Fourier transform. Simulation results demonstrate that proposed schemes significantly outperform conventional algorithms in terms of the activity error rate, the normalized mean squared error, and the symbol error rate. Notably, the distributed mode achieves performance comparable to the centralized mode with only two exchanges of soft information about data symbols within the constellation.","PeriodicalId":73294,"journal":{"name":"IEEE journal on selected areas in communications : a publication of the IEEE Communications Society","volume":"43 1","pages":"90-106"},"PeriodicalIF":0.0,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142231233","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

Edge Information Hub: Orchestrating Satellites, UAVs, MEC, Sensing and Communications for 6G Closed-Loop Controls 边缘信息枢纽：为 6G 闭环控制协调卫星、无人机、MEC、传感和通信

IEEE journal on selected areas in communications : a publication of the IEEE Communications Society Pub Date : 2024-09-13 DOI: 10.1109/JSAC.2024.3460053

Chengleyang Lei;Wei Feng;Peng Wei;Yunfei Chen;Ning Ge;Shiwen Mao

{"title":"Edge Information Hub: Orchestrating Satellites, UAVs, MEC, Sensing and Communications for 6G Closed-Loop Controls","authors":"Chengleyang Lei;Wei Feng;Peng Wei;Yunfei Chen;Ning Ge;Shiwen Mao","doi":"10.1109/JSAC.2024.3460053","DOIUrl":"10.1109/JSAC.2024.3460053","url":null,"abstract":"An increasing number of field robots would be used for mission-critical tasks in remote or post-disaster areas. Due to the limited individual abilities, these robots usually require an edge information hub (EIH), with not only communication but also sensing and computing functions. Such EIH could be deployed on a flexibly-dispatched unmanned aerial vehicle (UAV). Different from traditional aerial base stations or mobile edge computing (MEC), the EIH would direct the operations of robots via sensing-communication-computing-control (\u0000<inline-formula> <tex-math>$textbf {SC}^{3}$ </tex-math></inline-formula>\u0000) closed-loop orchestration. This paper aims to optimize the closed-loop control performance of multiple \u0000<inline-formula> <tex-math>$textbf {SC}^{3}$ </tex-math></inline-formula>\u0000 loops, with constraints on satellite-backhaul rate, computing capability, and on-board energy. Specifically, the linear quadratic regulator (LQR) control cost is used to measure the closed-loop utility, and a sum LQR cost minimization problem is formulated to jointly optimize the splitting of sensor data and allocation of communication and computing resources. We first derive the optimal splitting ratio of sensor data, and then recast the problem to a more tractable form. An iterative algorithm is finally proposed to provide a sub-optimal solution. Simulation results demonstrate the superiority of the proposed algorithm. We also uncover the influence of \u0000<inline-formula> <tex-math>$textbf {SC}^{3}$ </tex-math></inline-formula>\u0000 parameters on closed-loop controls, highlighting more systematic understanding.","PeriodicalId":73294,"journal":{"name":"IEEE journal on selected areas in communications : a publication of the IEEE Communications Society","volume":"43 1","pages":"5-20"},"PeriodicalIF":0.0,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10679984","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142231235","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

STAR-RIS Aided Covert Communication in UAV Air-Ground Networks STAR-RIS 辅助无人机空地网络中的隐蔽通信

IEEE journal on selected areas in communications : a publication of the IEEE Communications Society Pub Date : 2024-09-13 DOI: 10.1109/JSAC.2024.3460079

Qunshu Wang;Shaoyong Guo;Celimuge Wu;Chengwen Xing;Nan Zhao;Dusit Niyato;George K. Karagiannidis

{"title":"STAR-RIS Aided Covert Communication in UAV Air-Ground Networks","authors":"Qunshu Wang;Shaoyong Guo;Celimuge Wu;Chengwen Xing;Nan Zhao;Dusit Niyato;George K. Karagiannidis","doi":"10.1109/JSAC.2024.3460079","DOIUrl":"10.1109/JSAC.2024.3460079","url":null,"abstract":"The combination of a simultaneously transmitting and reflecting reconfigurable intelligent surface (STAR-RIS) and an unmanned aerial vehicle (UAV) can further improve channel quality and extend coverage. However, the high-quality air-to-ground link is more vulnerable to eavesdropping by adversaries. In this paper, we investigate STAR-RIS-assisted covert communication in UAV non-orthogonal multiple access (NOMA) networks with a warden Willie, where Alice intends to transmit the covert signal to a near user Bob under the cover of a far user Carol via STAR-RIS. We aim to maximize the covert transmission rate by jointly optimizing the active and passive beamforming as well as the UAV location. The error detection probability and optimal detection threshold for Willie are first derived to obtain an analytic solution for the minimum detection error probability. Then, an alternating optimization algorithm is proposed to maximize the covert transmission rate under the condition of guaranteeing the communication of Carol and satisfying the covertness constraint of Bob. Specifically, the nonconvex problem is decomposed into three sub-problems by block coordinate descent, which are then solved using semidefinite relaxation and successive convex approximation. Finally, simulation results are presented to demonstrate the effectiveness of the proposed covert communication scheme for STAR-RIS assisted UAV air-ground networks.","PeriodicalId":73294,"journal":{"name":"IEEE journal on selected areas in communications : a publication of the IEEE Communications Society","volume":"43 1","pages":"245-259"},"PeriodicalIF":0.0,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142231239","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

Cooperative Ground-Satellite Scheduling and Power Allocation for Urban Air Mobility Networks 城市空中移动网络的地面-卫星合作调度与功率分配

IEEE journal on selected areas in communications : a publication of the IEEE Communications Society Pub Date : 2024-09-13 DOI: 10.1109/JSAC.2024.3460031

Hyung-Joo Moon;Chan-Byoung Chae

{"title":"Cooperative Ground-Satellite Scheduling and Power Allocation for Urban Air Mobility Networks","authors":"Hyung-Joo Moon;Chan-Byoung Chae","doi":"10.1109/JSAC.2024.3460031","DOIUrl":"10.1109/JSAC.2024.3460031","url":null,"abstract":"In this paper, we investigate a multi-user downlink scheduling and power allocation strategy for urban air mobility (UAM) within a 6G non-terrestrial network (NTN) framework that integrates satellite and ground networks. We consider a system model involving multiple ground stations (GSs) and a single satellite, addressing the sum rate maximization problem with link-association, power, elevation angle, and minimum quality-of-service constraints. The proposed method initially segregates satellite-serviced users to reduce interference among the remaining GS-serviced users, taking into account the locations and movements of those UAMs. Subsequently, using a graph-theoretical approach, we convert the GS link association problem into a minimum-cost maximum-flow problem. In this process, we employ an analytical method involving polynomial approximations or a numerical method using integral approximation through the sum of time-sampled parameters. We then address the non-convex power allocation problem for scheduled links through iterative algorithms. The proposed scheduling and power allocation algorithms effectively manage interference in multi-UAM and multi-GS environments, and their performance is validated through extensive simulation results. Our study provides a comprehensive framework and strategy for efficient downlink transmission in future UAM operations, paving the way for novel applications in 6G NTN.","PeriodicalId":73294,"journal":{"name":"IEEE journal on selected areas in communications : a publication of the IEEE Communications Society","volume":"43 1","pages":"218-233"},"PeriodicalIF":0.0,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142231225","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

Rate-Splitting for Joint Unicast and Multicast Transmission in LEO Satellite Networks With Non-Uniform Traffic Demand 具有非均匀流量需求的低地轨道卫星网络中单播和多播联合传输的速率分配

IEEE journal on selected areas in communications : a publication of the IEEE Communications Society Pub Date : 2024-09-13 DOI: 10.1109/JSAC.2024.3460073

Jaehyup Seong;Juha Park;Dong-Hyun Jung;Jeonghun Park;Wonjae Shin

{"title":"Rate-Splitting for Joint Unicast and Multicast Transmission in LEO Satellite Networks With Non-Uniform Traffic Demand","authors":"Jaehyup Seong;Juha Park;Dong-Hyun Jung;Jeonghun Park;Wonjae Shin","doi":"10.1109/JSAC.2024.3460073","DOIUrl":"10.1109/JSAC.2024.3460073","url":null,"abstract":"Low Earth orbit (LEO) satellite communications (SATCOM) with ubiquitous global connectivity is deemed a pivotal catalyst in advancing wireless communication systems for 5G and beyond. LEO SATCOM excels in delivering versatile information services across expansive areas, facilitating both unicast and multicast transmissions via high-speed broadband capability. Nonetheless, given the broadband coverage of LEO SATCOM, traffic demand distribution within the service area is non-uniform, and the time/frequency/power resources available at LEO satellites remain significantly limited. Motivated by these challenges, we propose a rate-matching framework for non-orthogonal unicast and multicast (NOUM) transmission. Our approach aims to minimize the difference between offered rates and traffic demands for both unicast and multicast messages. By multiplexing unicast and multicast transmissions over the same radio resource, rate-splitting multiple access (RSMA) is employed to manage interference between unicast and multicast streams, as well as inter-user interference under imperfect channel state information at the LEO satellite. To address the formulated problem’s non-smoothness and non-convexity, the common rate is approximated using the LogSumExp technique. Thereafter, we represent the common rate portion as the ratio of the approximated function, converting the problem into an unconstrained form. A generalized power iteration (GPI)-based algorithm, coined GPI-RS-NOUM, is proposed upon this reformulation. Through comprehensive numerical analysis across diverse simulation setups, we demonstrate that the proposed framework outperforms various benchmarks for LEO SATCOM with uneven traffic demands.","PeriodicalId":73294,"journal":{"name":"IEEE journal on selected areas in communications : a publication of the IEEE Communications Society","volume":"43 1","pages":"122-138"},"PeriodicalIF":0.0,"publicationDate":"2024-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10680149","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142231226","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

Multi-Agent Cooperation for Computing Power Scheduling in UAVs Empowered Aerial Computing Systems 多代理合作促进无人机空中计算系统的计算能力调度

IEEE journal on selected areas in communications : a publication of the IEEE Communications Society Pub Date : 2024-09-12 DOI: 10.1109/JSAC.2024.3459035

Ming Tao;Xueqiang Li;Jie Feng;Dapeng Lan;Jun Du;Celimuge Wu

{"title":"Multi-Agent Cooperation for Computing Power Scheduling in UAVs Empowered Aerial Computing Systems","authors":"Ming Tao;Xueqiang Li;Jie Feng;Dapeng Lan;Jun Du;Celimuge Wu","doi":"10.1109/JSAC.2024.3459035","DOIUrl":"10.1109/JSAC.2024.3459035","url":null,"abstract":"In the paradigm of ubiquitous edge computing, with those advantages, e.g., high mobility, fast response, flexibility and controllability, and low cost of use, Unmanned Aerial Vehicles (UAVs) could be used not only as relays to assist with data collection, but also as computing power nodes to process uncomplicated computational workloads from ground users. Especially, UAVs could be employed to provide alternative computing power resources in field, lake, post-disaster and other complex regional environments. In this paper, to address the issue of computing power scheduling in UAVs empowered aerial computing systems, a scenario where multiple UAVs from the same departure station cooperatively fly over hovering points and achieve the data collection and computation in a decentralized manner is investigated. Nevertheless, due to limited onboard battery capacities of UAVs and diverse service requests of ground users, it is necessary to optimize energy efficiency and service fairness for improving mission execution capabilities of UAVs and the quality of service (QoS) experienced by ground users, and a joint optimization problem of energy efficiency and service fairness is formulated. Through considering complex coupling associations among the departure station, flight paths and hovering points of UAVs, the problem is investigated from the trajectory planning of UAVs and the location planning for both the departure station and hovering points. Proving investigations to be Markov decision processes (MDP), multi-agent cooperation approaches are proposed as promising solutions, and simulation results have been shown to demonstrate that the performance achieved by the proposal outperforms that achieved by schemes commonly used in literatures.","PeriodicalId":73294,"journal":{"name":"IEEE journal on selected areas in communications : a publication of the IEEE Communications Society","volume":"42 12","pages":"3521-3535"},"PeriodicalIF":0.0,"publicationDate":"2024-09-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142174700","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