Limiting Queueing Models for Scheduling in Multi-user MIMO Wireless Systems. Airy, M., Shakkottai, S., & Heath Jr., R. In Proceedings of the Second IASTED International Conference on Communications, Internet, and Information Technology, 2003.
abstract   bibtex   
Opportunistic scheduling based on full channel state information at the transmitter can provide significant performance gains for wireless networks by exploiting the independence of fading statistics across the user population. While opportunistic schedulers typically pick the single "best" user for transmission, MIMO (multiple-input multiple-output) systems can support transmissions to multiple users simultaneously. This paper compares (i) greedy multi-user sum rate maximizing scheduling, where multiple users are served simultaneously; and (ii) single-user scheduling, where all antenna resources are allocated to a single user depending on both the channel state and job length information. Based on two limiting arguments, where we consider fast and slow channel variations, we conclude that in most regimes greedy sum rate maximizing scheduling strategy performs better than single user strategies that use a combination of channel state and job length information.
@inproceedings{
 title = {Limiting Queueing Models for Scheduling in Multi-user MIMO Wireless Systems},
 type = {inproceedings},
 year = {2003},
 identifiers = {[object Object]},
 keywords = {[MIMO scheduling, Time-scale separation]},
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 created = {2016-09-06T19:47:44.000Z},
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 abstract = {Opportunistic scheduling based on full channel state information at the transmitter can provide significant performance gains for wireless networks by exploiting the independence of fading statistics across the user population. While opportunistic schedulers typically pick the single "best" user for transmission, MIMO (multiple-input multiple-output) systems can support transmissions to multiple users simultaneously. This paper compares (i) greedy multi-user sum rate maximizing scheduling, where multiple users are served simultaneously; and (ii) single-user scheduling, where all antenna resources are allocated to a single user depending on both the channel state and job length information. Based on two limiting arguments, where we consider fast and slow channel variations, we conclude that in most regimes greedy sum rate maximizing scheduling strategy performs better than single user strategies that use a combination of channel state and job length information.},
 bibtype = {inproceedings},
 author = {Airy, M. and Shakkottai, S. and Heath Jr., R.W.},
 booktitle = {Proceedings of the Second IASTED International Conference on Communications, Internet, and Information Technology}
}

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