Reference : Cache-aided full-duplex: Delivery time analysis and optimization
Scientific journals : Article
Engineering, computing & technology : Electrical & electronics engineering
http://hdl.handle.net/10993/43430
Cache-aided full-duplex: Delivery time analysis and optimization
English
Vu, Thang Xuan mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Trinh, Anh Vu mailto []
Chatzinotas, Symeon mailto [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Tran, Xuan Nam mailto []
May-2020
Wireless Networks
Baltzer Science Publishers B.V.
Yes (verified by ORBilu)
International
1022-0038
1572-8196
Netherlands
[en] Edge caching ; full duplex ; optimization
[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.
http://hdl.handle.net/10993/43430
H2020 ; 742648 - AGNOSTIC - Actively Enhanced Cognition based Framework for Design of Complex Systems
FnR ; FNR11691338 > Bjorn Ottersten > ProCAST > Proactive Edge Caching for Content Delivery Networks powered by Hybrid Satellite/Terrestrial Backhauling > 01/07/2018 > 30/06/2021 > 2017

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