Success Probability Analysis for Edge Caching in Massive MIMO Networks

Navneet Garg, Mathini Sellathurai, Faheem Khan, Tharmalingam Ratnarajah, Vimal Bhatia

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Edge caching is one of the promising solutions to fulfill the demands in future wireless networks. Considering a multi-cell multi-user massive MIMO (multiple-input-multiple-output) system, in this paper, we analyze average success probability (ASP) measure under the assumption of maximal ratio transmission (MRT) precoding. With respect to caching, ASP represents a measure of both the content placement and delivery performance. For the networks, where the base stations (BSs) and users are distributed as homogeneous Poisson point process (PPP), we show that for interference-limited systems, ASP is independent of the densities of both BS and users, concluding that the evaluation of a given caching scheme depends on the threshold chosen. Simulation results are presented to show the above relations.

Original languageEnglish
Title of host publication13th IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)
PublisherIEEE
Number of pages5
ISBN (Electronic)9781728137155
ISBN (Print)9781728137162
DOIs
Publication statusPublished - 16 Jun 2020
Event13th IEEE International Conference on Advanced Networks and Telecommunications Systems - Goa, India
Duration: 16 Dec 201919 Dec 2019
Conference number: 13
https://ieeexplore.ieee.org/xpl/conhome/9110269/proceeding

Publication series

NameInternational Symposium on Advanced Networks and Telecommunication Systems, ANTS
PublisherIEEE
Volume2019-December
ISSN (Print)2153-1676
ISSN (Electronic)2153-1684

Conference

Conference13th IEEE International Conference on Advanced Networks and Telecommunications Systems
Abbreviated titleANTS 2019
CountryIndia
CityGoa
Period16/12/1919/12/19
Internet address

Fingerprint Dive into the research topics of 'Success Probability Analysis for Edge Caching in Massive MIMO Networks'. Together they form a unique fingerprint.

  • Cite this

    Garg, N., Sellathurai, M., Khan, F., Ratnarajah, T., & Bhatia, V. (2020). Success Probability Analysis for Edge Caching in Massive MIMO Networks. In 13th IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS) [9118050] (International Symposium on Advanced Networks and Telecommunication Systems, ANTS; Vol. 2019-December). IEEE. https://doi.org/10.1109/ANTS47819.2019.9118050