Joint Coded Caching and Resource Allocation for Multimedia Service in Space-Air-Ground Integrated Networks

被引：0
|
作者：
Yin, Fangfang [1 ]
Liu, Qihong [1 ]
Liu, Danpu [2 ]
Zhang, Yu [3 ,4 ]
Jin, Libiao [1 ]
Li, Shufeng [1 ]
机构：
[1] State Key Laboratory of Media Convergence and Communication, School of Information and Communication Engineering, Communication University of China, Beijing,100024, China
[2] Beijing Laboratory of Advanced Information Networks, Beijing Key Laboratory of Network System Architecture and Convergence, Beijing University of Posts and Telecommunications, Beijing,100876, China
[3] State Key Laboratory of Processors, Institute of Computing Technology, Chinese Academy of Sciences, Beijing,100190, China
[4] Beijing Key Laboratory of Mobile Computing and Pervasive Device, Beijing,100080, China
来源：
IEEE Transactions on Communications | 2024年 / 72卷 / 11期
关键词：
In order to support colourful multimedia services with strict quality-of-service (QoS) requirements of user equipments (UEs); the space-air-ground integrated networks (SAGIN) can be taken as a promising approach to enhance network capacity. Among them; millimeter wave (mmWave) and edge caching promise to significantly improve the SAGIN performance due to the advantage in rich bandwidth resource and low latency; respectively. In this paper; we investigate the joint caching and resource allocation for multimedia services in SAGIN; where multimedia content requests can be simultaneously served by multiple access points (APs). Considering the delay-constraint of multimedia services; we then formulate a mixed-integer nonlinear programming (MINLP) problem aiming at minimizing the service delay; which involves jointly optimizing coded caching (CC); power allocation (PA) and UEs-to-APs association (UA). We propose to find the optimal solution by employing an alternating iteration optimization framework. The optimal CC and PA problems are firstly addressed by utilizing convex optimization technology. Then; two many-to-many swap matching algorithms are developed to slove the UA subproblem effectively. Numerical results demonstrate that our proposed algorithms can substantially reduce the service delay over other benchmarks. © 1972-2012 IEEE;
D O I：
10.1109/TCOMM.2024.3405308
中图分类号：
学科分类号：
摘要：
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页码：6839 / 6853
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