Collaborative caching; relay selections; outage probability
Abstract :
[en] This paper studies a multi-tier cache-aided relaying network, where the destination D is randomly located in the network and it requests files from the source S through the help of cache-aided base station (BS) and N relays. In this system, the multi-tier architecture imposes a significant impact on the system collaborative caching and file delivery, which brings a big challenge to the system performance evaluation and optimization. To address this problem, we first evaluate the system performance by deriving analytical outage probability expression, through fully taking into account the random location of the destination and different file delivery modes related to the file caching status. We then perform the asymptotic analysis on the system outage probability when the signal-to-noise ratio (SNR) is high, to enclose some important and meaningful insights on the network. We further optimize the caching strategies among the relays and BS, to improve the network outage probability. Simulations are performed to show the effectiveness of the derived analytical and asymptotic outage probability for the proposed caching strategy. In particular, the proposed caching is superior to the conventional caching strategies such as the most popular content (MPC) and equal probability caching (EPC) strategies.
Disciplines :
Electrical & electronics engineering
Author, co-author :
Tang, Shunpu; Guangzhou University > School of Computer Science and Cyber Engineering
He, Ke ; University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > SigCom
Chen, Lunyuan; Guangzhou University > School of Computer Science and Cyber Engineering
Fan, Lisheng; Guangzhou University > School of Computer Science and Cyber Engineering
Lei, Xianfu; Southwest Jiaotong University
Hu, Rose Qingyang; Utah State University
External co-authors :
yes
Language :
English
Title :
Collaborative Cache-Aided Relaying Networks: Performance Evaluation and System Optimization
Publication date :
2022
Journal title :
IEEE Journal on Selected Areas In Communications
ISSN :
0733-8716
Publisher :
Institute of Electrical and Electronics Engineers, United States
Special issue title :
Multi-Tier Computing for Next Generation Wireless Networks (IEEE JSAC SI on MTCNG)
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