DocumentCode :
2020247
Title :
Compressive broadcast in MIMO systems with receive antenna heterogeneity
Author :
Liu, Xiao Lin ; Luo, Chong ; Hu, Wenjun ; Wu, Feng
Author_Institution :
Univ. of Sci. & Technol. of China, Hefei, China
fYear :
2012
fDate :
25-30 March 2012
Firstpage :
3011
Lastpage :
3015
Abstract :
The key challenge in a broadcast system is receiver heterogeneity, where the weakest receiver typically constrains the entire system performance. Traditionally, this arises from heterogeneous channel SNRs at different receivers. In Multiple-Input Multiple-Output (MIMO) systems, a further heterogeneity is caused by different antenna numbers across receivers. We propose a compressive broadcast framework to address both types of heterogeneity. By layering compressive sensing (CS) over MIMO transmissions, our framework ensures a received source quality commensurate with the channel SNR and the MIMO channel dimension. Compared with a conventional framework, our framework achieves more smooth rate increase with channel SNR and much higher performance for multi-antenna receivers.
Keywords :
MIMO communication; antenna arrays; compressed sensing; data compression; receiving antennas; wireless channels; MIMO channel dimension; MIMO systems; MIMO transmissions; antenna numbers; compressive broadcast framework; compressive sensing; heterogeneous channel SNR; multiantenna receivers; multiple-input multiple-output systems; receive antenna heterogeneity; Antenna measurements; MIMO; Noise measurement; Receiving antennas; Signal to noise ratio; Transmitting antennas;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
INFOCOM, 2012 Proceedings IEEE
Conference_Location :
Orlando, FL
ISSN :
0743-166X
Print_ISBN :
978-1-4673-0773-4
Type :
conf
DOI :
10.1109/INFCOM.2012.6195749
Filename :
6195749
Link To Document :
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