University of Oulu

T. Sanguanpuak, S. Guruacharya, N. Rajatheva and M. Latva-aho, "Edge Caching for Cache Intensity under Probabilistic Delay Constraint," 2018 IEEE Global Communications Conference (GLOBECOM), Abu Dhabi, United Arab Emirates, 2018, pp. 1-7. doi: 10.1109/GLOCOM.2018.8647612

Edge caching for cache intensity under probabilistic delay constraint

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Author: Sanguanpuak, Tachporn1; Guruacharya, Sudarshan2; Rajatheva, Nandana1;
Organizations: 1Centre for Wireless Communications (CWC), University of Oulu, Finland
2Dept. Elec. & Comp. Eng., University of Manitoba, Canada
Format: article
Version: accepted version
Access: open
Online Access: PDF Full Text (PDF, 0.4 MB)
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Language: English
Published: Institute of Electrical and Electronics Engineers, 2018
Publish Date: 2020-03-24


In order to reduce the latency of data delivery, one of techniques is to cache the popular contents at the base stations (BSs) i.e. edge caching. However, the technique of caching at edge can only reduce the backhaul delay, other techniques such as BS densification will also need to be considered to reduce the fronthaul delay. In this work, we study the trade-offs between BS densification and cache size under delay constraint at a typical user (UE). For this, we use the downlink SINR coverage probability and throughput obtained based on stochastic geometrical analysis. The network deployment of BS and cache storage is introduced as a minimization problem of the product of the BS intensity and cache size which we refer to the product of “cache intensity” under probabilistic delay constraint. We examine the cases when (i) either BS intensity or the cache size is held fixed, and (ii) when both BS intensity and the cache size are vary. For the case when both BS intensity and the cache size are variable, the problem become nonconvex and we convert into a geometric programing which we solve it analytically.

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Series: IEEE Global Communications Conference
ISSN: 2334-0983
ISSN-E: 2576-6813
ISSN-L: 2334-0983
ISBN: 978-1-5386-6976-1
ISBN Print: 978-1-5386-4727-1
Pages: 1 - 7
Article number: 8647612
DOI: 10.1109/GLOCOM.2018.8647612
Host publication: 2018 IEEE Global Communications Conference, GLOBECOM 2018
Conference: IEEE Global Communications Conference
Type of Publication: A4 Article in conference proceedings
Field of Science: 113 Computer and information sciences
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