An efficient feedback scheme using compressive sensing for MIMO broadcast channel with random beamforming

Kiyoen Kim, Senghun Jang, Dongku Kim, Jeongwook Seo

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

5 Citations (Scopus)

Abstract

In this paper we proposes an efficient feedback scheme using compressive sensing (CS) for MIMO broadcast channel(BC) with random beamforming(RBF). Feedback resources are opportunististically accessed by strong users whose SINR is larger than threshold. Strong users transmit same feedback information on feedback channel and they are indentified by BS using CS. There is reduction of the feedback overhead via CS. Besides, we can achieve sum-rate throughput as full feedback. To exploit CS, feedback signal must be sparse. However, because there exist a trade-off between the sparsity and multiplexing gain, we must know how to decide K-sparsity and threshold. Therefore, we drive relation between K-spasity and threshold. These are suitable to 'actual' BC feedback channel with CS.

Original languageEnglish
Title of host publication2010 The 2nd International Conference on Computer and Automation Engineering, ICCAE 2010
Pages743-747
Number of pages5
DOIs
Publication statusPublished - 2010
Event2nd International Conference on Computer and Automation Engineering, ICCAE 2010 - Singapore, Singapore
Duration: 2010 Feb 262010 Feb 28

Publication series

Name2010 The 2nd International Conference on Computer and Automation Engineering, ICCAE 2010
Volume2

Other

Other2nd International Conference on Computer and Automation Engineering, ICCAE 2010
CountrySingapore
CitySingapore
Period10/2/2610/2/28

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications
  • Control and Systems Engineering

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