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Optimal Cell Load and Throughput in Green Small Cell Networks with Generalized Cell Association

2015/03/30 by Chun-Hung Liu, Chun‐Hung Liu, Liu, Chun-Hung +3
Computer Science · Engineering · Mathematics · #Advanced MIMO Systems Optimization #Cooperative Communication and Network Coding #FOS: Computer and information sciences #Information Theory (cs.IT) #Millimeter-Wave Propagation and Modeling #cs.IT #math.IT

paper · pdf · doi:10.48550/arxiv.1503.08661

15 pages, 8 figures

openalex publication_date 2015/03/30 · arxiv created 2015/09/11 · arxiv updated 2015/09/14 · openalex created_date 2019/06/27 · openalex updated_date 2026/07/28

Abstract

This paper thoroughly explored the fundamental interactions between cell association, cell load and throughput in a green (energy-efficient) small cell network in which all base stations form a homogeneous Poisson point process (PPP) of intensity λB and all users form another independent PPP of intensity λU. Cell voidness, usually disregarded due to rarity in cellular network modeling, is first theoretically analyzed under generalized (channel-aware) cell association (GCA). We showed that the void cell probability cannot be neglected any more since it is bounded above by exp(-λUB) that is typically not small in a small cell network. The accurate expression of the void cell probability for GCA was characterized and it was used to derive the average cell and user throughputs. We learned that cell association and cell load λUB significantly affect these two throughputs. According to the average cell and user throughputs, the green cell and user throughputs are defined respectively to reflect whether the energy of a base station is efficiently used to transmit information or not. In order to achieve satisfactory throughput with certain level of greenness, cell load should be properly determined. We presented the theoretical solutions of the optimal cell loads that maximize the green cell and user throughputs, respectively, and verified their correctness by simulation.

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