Beamforming matrix transformation for random beamforming

Jongrok Park, Hojae Lee, Sanghoon Lee

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)


The signal to interference plus noise ratio (SINR) feedback has been utilized in random beamforming (RBF) to select users for the provision of service in multiple-input multiple-output (MIMO) systems. A large number of users are required to obtain the gain of multi-user diversity for a downlink transmission. However, if the number is not large enough, it may be difficult to obtain multi-user diversity, leading to a rapid degradation in performance. To resolve this problem, it is necessary to find beamforming matrix close to the channels of the selected users. In this paper, a beamforming matrix transformation for RBF (BMT-RBF) is presented, demonstrating an efficient search of random beams correlated with user channels as opposed to conventional ones, over a small number of users. Via simulation results, we demonstrate that the performance of the BMT-RBF represent significant improvements over conventional RBF.

Original languageEnglish
Title of host publication2011 IEEE 73rd Vehicular Technology Conference, VTC2011-Spring - Proceedings
Publication statusPublished - 2011
Event2011 IEEE 73rd Vehicular Technology Conference, VTC2011-Spring - Budapest, Hungary
Duration: 2011 May 152011 May 18

Publication series

NameIEEE Vehicular Technology Conference
ISSN (Print)1550-2252


Other2011 IEEE 73rd Vehicular Technology Conference, VTC2011-Spring

All Science Journal Classification (ASJC) codes

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


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