Investigation into the Effects of Spatial Correlation on MIMO Channel Estimation and Capacity

Author

Liu, Xia ; Bialkowski, Marek E. ; Wang, Feng

Author_Institution

Sch. of ITEE, Univ. of Queensland, Brisbane, QLD

fYear

2008

fDate

12-14 Oct. 2008

Firstpage

1

Lastpage

4

Abstract

This paper reports on investigations into the effects of spatial correlation on channel estimation and capacity of a multiple input multiple output (MIMO) system. Minimum mean square error (MMSE) method is applied for channel estimation under a correlated channel scenario. Simulation results for a 4 times 4 MIMO system with the Jakes model describing a channel between a base station and a mobile station demonstrate a trade-off between the effects of spatial correlation, channel estimation and capacity. For low values of signal to noise ratio (SNR), spatial correlation decreases channel estimation errors and improves capacity. For high values of SNR, spatial correlation has a less pronounced effect on improving channel estimation and thus the MIMO capacity is adversely affected by the decreased channel matrix rank.

Keywords

MIMO communication; channel capacity; channel estimation; least mean squares methods; Jakes model; MIMO channel estimation; MMSE method; SNR; channel capacity; minimum mean square error; multiple input multiple output system; signal to noise ratio; spatial correlation effects; Channel capacity; Channel estimation; Channel state information; Closed-form solution; MIMO; Mean square error methods; Narrowband; Receiving antennas; Scattering; Signal to noise ratio;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications, Networking and Mobile Computing, 2008. WiCOM '08. 4th International Conference on

Conference_Location

Dalian

Print_ISBN

978-1-4244-2107-7

Electronic_ISBN

978-1-4244-2108-4

Type

conf

DOI

10.1109/WiCom.2008.91

Filename

4678000