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Ergodic Capacity Analysis of Remote Radio Head Associations in Cloud Radio Access Networks

Author(s): Peng, Mugen; Yan, Shi; Poor, H Vincent

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Abstract: Characterizing user to remote radio head (RRH) association strategies in cloud radio access networks (C-RANs) is critical for performance optimization. In this letter, the single nearest and N-nearest RRH association strategies are presented, and the corresponding impact on the ergodic capacity of C-RANs is analyzed, where RRHs are distributed according to a stationary point process. Closed-form expressions for the ergodic capacity of the proposed RRH association strategies are derived. Simulation results demonstrate that the derived uplink closed-form capacity expressions are accurate. Furthermore, the analysis and simulation results show that the ergodic capacity gain is not linear with either the RRH density or the number of antennas per RRH. The ergodic capacity gain from the RRH density is larger than that from the number of antennas per RRH, which indicates that the association number of the RRH should not be bigger than 4 to balance the performance gain and the implementation cost.
Publication Date: 15-Apr-2014
Citation: Peng, Mugen, Yan, Shi, Poor, H Vincent. (2014). Ergodic Capacity Analysis of Remote Radio Head Associations in Cloud Radio Access Networks. IEEE Wireless Communications Letters, 3 (4), 365 - 368. doi:10.1109/lwc.2014.2317476
DOI: doi:10.1109/lwc.2014.2317476
ISSN: 2162-2337
EISSN: 2162-2345
Pages: 365 - 368
Type of Material: Journal Article
Journal/Proceeding Title: IEEE Wireless Communications Letters
Version: Author's manuscript

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