MU-MIMO with channel Statistics-based codebooks in spatially correlated channels

Bruno Clerckx, Gil Kim, Sungjin Kim

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

21 Citations (Scopus)

Abstract

We investigate the performance of limited feedback Zero Forcing Beamforming-based MU-MIMO in correlated channels when users have the opportunity to adapt their codebooks as a function of their own channel statistics (CDIT). An upper bound on the rate loss is derived in terms of the amount of feedback and the statistics of the channel. In order to maintain a constant rate loss with respect to the perfect CSIT case, it is shown that the number of feedback bits should scale linearly with the SNR (in dB) with a slope proportional to the rank of the user transmit correlation matrix and logarithmically with the ratio of the second to the first largest eigenvalue of the transmit correlation matrix. Simulation results confirm analytical derivations and suggest that a channel statistics-based codebook is a reasonable simple approach to boost the throughput in correlated channels while incurring only a small overhead.

Original languageEnglish
Title of host publication2008 IEEE Global Telecommunications Conference, GLOBECOM 2008
Pages956-960
Number of pages5
DOIs
Publication statusPublished - 2008
Event2008 IEEE Global Telecommunications Conference, GLOBECOM 2008 - New Orleans, LA, United States
Duration: 2008 Nov 302008 Dec 4

Publication series

NameGLOBECOM - IEEE Global Telecommunications Conference

Other

Other2008 IEEE Global Telecommunications Conference, GLOBECOM 2008
Country/TerritoryUnited States
CityNew Orleans, LA
Period08/11/3008/12/4

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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