[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.
Disciplines :
Ingénierie électrique & électronique
Auteur, co-auteur :
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)
Co-auteurs externes :
no
Langue du document :
Anglais
Titre :
Cache-Aided Millimeter Wave Ad-Hoc Networks
Date de publication/diffusion :
16 avril 2018
Nom de la manifestation :
2018 IEEE Wireless Communications and Networking Conference (WCNC)
Lieu de la manifestation :
Barcelona, Espagne
Date de la manifestation :
from 15-04-2018 to 18-04-2018
Manifestation à portée :
International
Focus Area :
Security, Reliability and Trust
Projet européen :
H2020 - 742648 - AGNOSTIC - Actively Enhanced Cognition based Framework for Design of Complex Systems
Projet FnR :
FNR11691338 - Proactive Edge Caching For Content Delivery Networks Powered By Hybrid Satellite/Terrestrial Backhauling, 2017 (01/07/2018-31/12/2021) - Bjorn Ottersten