Success Probability Analysis for Edge Caching in Massive MIMO Networks

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

doi:10.1109/ANTS47819.2019.9118050

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 proceeding › Conference contribution › peer-review

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 language	English
Title of host publication	13th IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS)
Publisher	IEEE
Number of pages	5
ISBN (Electronic)	9781728137155
ISBN (Print)	9781728137162
DOIs	https://doi.org/10.1109/ANTS47819.2019.9118050
Publication status	Published - 16 Jun 2020
Event	13th IEEE International Conference on Advanced Networks and Telecommunications Systems - Goa, India Duration: 16 Dec 2019 → 19 Dec 2019 Conference number: 13 https://ieeexplore.ieee.org/xpl/conhome/9110269/proceeding

Publication series

Name	International Symposium on Advanced Networks and Telecommunication Systems, ANTS
Publisher	IEEE
Volume	2019-December
ISSN (Print)	2153-1676
ISSN (Electronic)	2153-1684

Conference

Conference	13th IEEE International Conference on Advanced Networks and Telecommunications Systems
Abbreviated title	ANTS 2019
Country/Territory	India
City	Goa
Period	16/12/19 → 19/12/19
Internet address	https://ieeexplore.ieee.org/xpl/conhome/9110269/proceeding

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This output contributes to the following UN Sustainable Development Goals (SDGs)

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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

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title = "Success Probability Analysis for Edge Caching in Massive MIMO Networks",

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.",

keywords = "cache storage, MIMO communication, precoding, probability, stochastic processes",

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note = "13th IEEE International Conference on Advanced Networks and Telecommunications Systems, ANTS 2019 ; Conference date: 16-12-2019 Through 19-12-2019",

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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, 13th IEEE International Conference on Advanced Networks and Telecommunications Systems, Goa, India, 16/12/19. https://doi.org/10.1109/ANTS47819.2019.9118050

Success Probability Analysis for Edge Caching in Massive MIMO Networks. / Garg, Navneet; Sellathurai, Mathini; Khan, Faheem et al.

13th IEEE International Conference on Advanced Networks and Telecommunications Systems (ANTS). IEEE, 2020. 9118050 (International Symposium on Advanced Networks and Telecommunication Systems, ANTS; Vol. 2019-December).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Success Probability Analysis for Edge Caching in Massive MIMO Networks

AU - Garg, Navneet

AU - Sellathurai, Mathini

AU - Khan, Faheem

AU - Ratnarajah, Tharmalingam

AU - Bhatia, Vimal

N1 - Conference code: 13

PY - 2020/6/16

Y1 - 2020/6/16

N2 - 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.

AB - 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.

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Success Probability Analysis for Edge Caching in Massive MIMO Networks

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