@inproceedings{liu2012compressive,
author = {Liu, Xiao Lin and Luo, Chong and Hu, Wenjun and Wu, Feng},
title = {Compressive broadcast in MIMO systems with receive antenna heterogeneity},
booktitle = {IEEE Infocom'12},
year = {2012},
month = {March},
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.},
publisher = {IEEE},
url = {http://approjects.co.za/?big=en-us/research/publication/compressive-broadcast-in-mimo-systems-with-receive-antenna-heterogeneity/},
pages = {3011-3015},
}