Achievable channel rate with perfect and compressed information

Author

Baharlouei, Akram ; Jabbari, Bijan

Author_Institution

Electr. & Comput. Eng. Dept., George Mason Univ., Fairfax, VA, USA

fYear

2012

fDate

15-17 Oct. 2012

Firstpage

759

Lastpage

760

Abstract

This paper explores the effect of compressive sensing on channel rate in a massive-MIMO environment. We are interested to know to what extend a channel state information could be compressed and what factors are needed to be considered. For this purpose we assume a base-station with N antennas operating in downlink with K single-antenna users. The sum of rate is calculated and simulated with both original and compressed channel response information. Simulation results show that the total channel rate decreases as the the compression ratio increases. According to simulation results for SNR = 10dB and compression ratio = 0.3, the rate loss is about 5 bps.

Keywords

MIMO communication; antenna arrays; channel capacity; compressed sensing; K-single-antenna users; SNR; achievable channel rate; base-station; channel capacity; compressed channel response information; compression ratio; compressive sensing effect; massive-MIMO environment; rate loss; signal-to-noise-ratio; Antennas; Downlink; Multiuser detection; Sensors; Signal to noise ratio; Simulation; Vectors; Channel Capacity; Compressive Sensing; Massive-MIMO;

fLanguage

English

Publisher

ieee

Conference_Titel

ICT Convergence (ICTC), 2012 International Conference on

Conference_Location

Jeju Island

Print_ISBN

978-1-4673-4829-4

Electronic_ISBN

978-1-4673-4827-0

Type

conf

DOI

10.1109/ICTC.2012.6387137

Filename

6387137