BS scheduling and iterative power allocation for the multi-cell downlink MIMO systems

  • Authors:
  • Yadong Liu;Gang Wu;Shu Fang;Xianxue Fan

  • Affiliations:
  • National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, Sichuan, China;National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, Sichuan, China;National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, Sichuan, China;National Key Laboratory of Science and Technology on Communications, University of Electronic Science and Technology of China, Chengdu, Sichuan, China

  • Venue:
  • ICICS'09 Proceedings of the 7th international conference on Information, communications and signal processing
  • Year:
  • 2009

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Abstract

Coordinated multiple point transmission and reception (CoMP) has attracted a lot of attention recently because of its potential for multi-cell co-channel interference (CCI) mitigation and spectral efficiency increase. CoMP inevitably requires increased signaling overhead and inter-base communication. Therefore in practice, only a limited number of Base Stations (BS) can cooperate with acceptable overhead. In addition, the resource allocation is another intrinsic problem of CoMP. In this paper, a novel scheme of BS scheduling based on threshold judgment has been proposed by taking into count the complexity reduce. Simulation results show that the BS scheduling scheme with lower complexity we proposed can achieve the same performance as that mentioned in [9]. We also develope a semi-distributed dynamic resource allocation scheme based on Nash equilibrium (NE) theory for the downlink of multi-cell systems with spectrum reuse factor of 1. It is quantified the improvement in the terms of system capacity and transmission power reduction compared with the existing power allocation methods.