Article (Scientific journals)
Cache-aided full-duplex: Delivery time analysis and optimization
Vu, Thang Xuan; Trinh, Anh Vu; Chatzinotas, Symeon et al.
2020In Wireless Networks
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Keywords :
Edge caching; full duplex; optimization
Abstract :
[en] Edge caching has received much attention as a promising technique to overcome the stringent latency and data-hungry challenges in the future generation wireless networks. Meanwhile, full-duplex (FD) transmission can improve the spectral efficiency by allowing a node to receive and transmit on the same frequency band simultaneously. In this paper, we investigate the delivery time performance of a cache-aided FD system, in which an edge node, operates in FD mode, serves users via wireless channels and is equipped with a cache memory. Firstly, we derive a closed-form expression for the average delivery time by taking into account the uncertainties of both backhaul and access wireless channels. The derived analysis allows the examination of the impact of the key parameters, e.g., cache size and transmit power. Secondly, a power optimization problem is formulated to minimize the average delivery time. To deal with the non-convexity of the formulated problem, we propose an iterative optimization algorithm based on the bisection method. Finally, numerical results are presented to demonstrate the effectiveness of the proposed algorithm, which can significantly reduce the delivery time compared to the FD reference and the half-duplex counterpart.
Disciplines :
Electrical & electronics engineering
Author, co-author :
Vu, Thang Xuan  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Trinh, Anh Vu
Chatzinotas, Symeon  ;  University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT)
Tran, Xuan Nam
External co-authors :
yes
Language :
English
Title :
Cache-aided full-duplex: Delivery time analysis and optimization
Publication date :
May 2020
Journal title :
Wireless Networks
ISSN :
1572-8196
Publisher :
Baltzer Science Publishers B.V., Netherlands
Peer reviewed :
Peer Reviewed verified by ORBi
European Projects :
H2020 - 742648 - AGNOSTIC - Actively Enhanced Cognition based Framework for Design of Complex Systems
FnR Project :
FNR11691338 - Proactive Edge Caching For Content Delivery Networks Powered By Hybrid Satellite/Terrestrial Backhauling, 2017 (01/07/2018-31/12/2021) - Bjorn Ottersten
Funders :
CE - Commission Européenne [BE]
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