A practical cooperative multicell MIMO-OFDMA network based on rank coordination

Bruno Clerckx, Heunchul Lee, Young Jun Hong, Gil Kim

Research output: Contribution to journalArticle

33 Citations (Scopus)

Abstract

An important challenge of wireless networks is to boost the cell edge performance and enable multi-stream transmissions to cell edge users. Interference mitigation techniques relying on multiple antennas and coordination among cells are nowadays heavily studied in the literature. Typical strategies in OFDMA networks include coordinated scheduling, beamforming and power control. In this paper, we propose a novel and practical type of coordination for OFDMA downlink networks relying on multiple antennas at the transmitter and the receiver. The transmission ranks, i.e. the number of transmitted streams, and the user scheduling in all cells are jointly optimized in order to maximize a network utility function accounting for fairness among users. A distributed coordinated scheduler motivated by an interference pricing mechanism and relying on a master-slave architecture is introduced. The proposed scheme is operated based on the user report of a recommended rank for the interfering cells accounting for the receiver interference suppression capability. It incurs a very low feedback and backhaul overhead and enables efficient link adaptation. It is moreover robust to channel measurement errors and applicable to both open-loop and closed-loop MIMO operations. A 20% cell edge performance gain over uncoordinated LTE-A system is shown through system level simulations.

Original languageEnglish
Article number6449266
Pages (from-to)1481-1491
Number of pages11
JournalIEEE Transactions on Wireless Communications
Volume12
Issue number4
DOIs
Publication statusPublished - 2013 Feb 8

Keywords

  • Multiple-Input Multiple-Output (MIMO)
  • Orthogonal Frequency Division Multiple Acces (OFDMA)
  • cellular networks
  • cooperative communications
  • interference pricing
  • resource allocation

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics

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