Throughput-Outage Analysis of Cache-Aided Wireless Multi-Hop D2D Networks

Ming Chun Lee, Mingyue Ji, Andreas F. Molisch

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Scopus citations

Abstract

Cache-aided wireless device-to-device (D2D) networks have demonstrated promising performance improvement for video distribution compared to conventional distribution methods. Understanding the fundamental scaling behavior of such networks is thus importance. Recently, based on real-world data, it has been observed that the popularity distribution should be modeled by a Mandelbrot-Zipf (MZipf) distribution, instead of the common Zipf distribution. We thus in this work investigate the throughput-outage performance for cache-aided wireless D2D network adopting multi-hop communications, with the MZipf popularity distribution for file requests and Poisson point process for user distribution. Considering the case that Zipf factor is larger than one, we first propose an achievable content caching and delivery scheme and analyze its performance. Then, by showing that the achievable performance is tight to the proposed outer bound, we show that an optimal scaling law for cache-aided wireless multi-hop D2D networks is obtained.

Original languageEnglish
Title of host publication2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781728182988
DOIs
StatePublished - Dec 2020
Event2020 IEEE Global Communications Conference, GLOBECOM 2020 - Virtual, Taipei, Taiwan
Duration: 7 Dec 202011 Dec 2020

Publication series

Name2020 IEEE Global Communications Conference, GLOBECOM 2020 - Proceedings
Volume2020-January

Conference

Conference2020 IEEE Global Communications Conference, GLOBECOM 2020
Country/TerritoryTaiwan
CityVirtual, Taipei
Period7/12/2011/12/20

Fingerprint

Dive into the research topics of 'Throughput-Outage Analysis of Cache-Aided Wireless Multi-Hop D2D Networks'. Together they form a unique fingerprint.

Cite this