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On the Multiuser Diversity in SIMO Interfering Multiple Access Channels: Distributed User Scheduling Framework

  • Shin, Won-Yong (Department of Computer Science and Engineering, Dankook University) ;
  • Park, Dohyung (Department of Electrical and Computer Engineering, The University of Texas at Austin) ;
  • Jung, Bang Chul (Department of Information and Communication Engineering & Institute of Marine Industry, Gyeongsang National University)
  • Received : 2013.12.27
  • Accepted : 2014.10.06
  • Published : 2015.06.30

Abstract

Due to the difficulty of coordination in the cellular uplink, it is a practical challenge how to achieve the optimal throughput scaling with distributed scheduling. In this paper, we propose a distributed and opportunistic user scheduling (DOUS) that achieves the optimal throughput scaling in a single-input multiple-output interfering multiple-access channel, i.e., a multi-cell uplink network, with M antennas at each base station (BS) and N users in a cell. In a distributed fashion, each BS adopts M random receive beamforming vectors and then selects M users such that both sufficiently large desired signal power and sufficiently small generating interference are guaranteed. As a main result, it is proved that full multiuser diversity gain can be achieved in each cell when a sufficiently large number of users exist. Numerical evaluation confirms that in a practical setting of the multi-cell network, the proposed DOUS outperforms the existing distributed user scheduling algorithms in terms of sum-rate.

Keywords

Acknowledgement

Supported by : National Research Foundation of Korea (NRF)

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