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Performance Analysis of Cache-Enabled Millimeter Wave Small Cell Networks

Zhu, Y; Zheng, G; Wong, KK; Jin, S; Lambotharan, S; (2018) Performance Analysis of Cache-Enabled Millimeter Wave Small Cell Networks. IEEE Transactions on Vehicular Technology , 67 (7) pp. 6695-6699. 10.1109/TVT.2018.2797047. Green open access

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Abstract

Millimeter wave (mmWave) small-cell networks can provide high regional throughput, but the backhaul requirement has become a performance bottleneck. This paper proposes a hybrid system that combines traditional backhaul-connected small base stations (SBSs) and cache-enabled SBSs to achieve the maximum area spectral efficiency (ASE) while saving backhaul consumption in mmWave small cell networks. We derive and compare the ASE results for both the traditional and hybrid networks, and also show that the optimal content placement to maximize ASE is to cache the most popular contents. Numerical results demonstrate the performance improvement of deploying cache-enabled SBSs. Furthermore, given a total caching capacity, it is revealed that there is a tradeoff between the cache-enabled SBSs density and individual cache size to maximize the ASE.

Type: Article
Title: Performance Analysis of Cache-Enabled Millimeter Wave Small Cell Networks
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/TVT.2018.2797047
Publisher version: https://doi.org/10.1109/TVT.2018.2797047
Language: English
Additional information: This work is licensed under a Creative Commons Attribution 3.0 License. For more information, see http://creativecommons.org/licenses/by/3.0/.
Keywords: Millimeter wave, cache-enabled network, backhaul, area spectral efficiency
UCL classification: UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Electronic and Electrical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/10045423
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