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Outage Probability and Fronthaul Usage Tradeoff Caching Strategy in Cloud-RAN

Ye, Zhun, Pan, Cunhua, Zhu, Huiling, Wang, Jiangzhou (2017) Outage Probability and Fronthaul Usage Tradeoff Caching Strategy in Cloud-RAN. In: 2017 IEEE International Conference on Communications (ICC). 2017 IEEE International Conference on Communications (ICC). . Institute of Electrical and Electronics Engineers (IEEE) ISBN 978-1-4673-8999-0. E-ISBN 19381883. (doi:10.1109/ICC.2017.7996856)

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http://dx.doi.org/10.1109/ICC.2017.7996856

Abstract

In this paper, optimal content caching strategy is proposed to jointly minimize the cell average outage probability and fronthaul usage in cloud radio access network (Cloud-RAN). An accurate closed form expression of the outage probability conditioned on the user’s location is presented, and the cell average outage probability is obtained through the composite Simpson’s integration. The caching strategy for jointly optimizing the cell average outage probability and fronthaul usage is formulated as a weighted sum minimization problem, which is a nonlinear 0-1 integer NP-hard problem. In order to deal with the NP-hard problem, at first, two particular caching placement schemes are investigated: the most popular content (MPC) caching scheme and the proposed location-based largest content diversity (LB-LCD) caching scheme. Then a genetic algorithm (GA) based approach is proposed. Numerical results show that the performance of the proposed GA-based approach with significantly reduced computational complexity is close to the optimal performance achieved by exhaustive search based caching strategy.

Item Type: Conference or workshop item (Proceeding)
DOI/Identification number: 10.1109/ICC.2017.7996856
Subjects: T Technology
Divisions: Faculties > Sciences > School of Engineering and Digital Arts
Depositing User: Jiangzhou Wang
Date Deposited: 08 Sep 2017 15:24 UTC
Last Modified: 29 May 2019 19:30 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/63337 (The current URI for this page, for reference purposes)
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