Reference : Cache-Aided Millimeter Wave Ad-Hoc Networks

	Document type :	Scientific congresses, symposiums and conference proceedings : Unpublished conference
	Discipline(s) :	Engineering, computing & technology : Electrical & electronics engineering
	Focus Areas :	Security, Reliability and Trust
	To cite this reference:	http://hdl.handle.net/10993/35573

Title :	Cache-Aided Millimeter Wave Ad-Hoc Networks
Language :	English
Author, co-author :	Vuppala, Satyanarayana [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Vu, Thang Xuan [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Gautam, Sumit [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Chatzinotas, Symeon [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
	Ottersten, Björn [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > >]
Publication date :	16-Apr-2018
Peer reviewed :	Yes
Audience :	International
Event name :	2018 IEEE Wireless Communications and Networking Conference (WCNC)
Event date :	from 15-04-2018 to 18-04-2018
Event place (city) :	Barcelona
Event country :	Spain
Keywords :	[en] Blockages ; caching ; millimeter- wave networks
Abstract :	[en] In this paper, we investigate the performance of cache enabled millimeter wave (mmWave) ad-hoc network, where randomly distributed nodes are supported by a cache memory. Specifically, we study the optimal caching placement at the desirable mmWave node using a network model that accounts for the uncertainties in node locations and blockages. We then characterize the average success probability of content delivery. As a desirable side effect, certain factors like the density of nodes and increased antenna gain, can significantly increase the cache hit ratio in mmWave networks. However, a trade-off between the cache hit probability and the average successful content delivery probability with respect to the density of nodes is presented.
Target :	Researchers ; Professionals ; Students ; General public
Permalink :	http://hdl.handle.net/10993/35573
Framework Programme / European Project :	H2020 ; 742648 - AGNOSTIC - Actively Enhanced Cognition based Framework for Design of Complex Systems

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