Limiting queueing models for scheduling in multi-user MIMO
wireless systems


Manish Airy, Sanjay Shakkottai and Robert W. Heath Jr


IASTED Conf on Comm, Internet & Info Tech, Scottsdale, AZ, Nov 17-19, 2003.


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 transmission to
multiple users simultaneously.  This paper compares (i) greedy
multi-user sum rate maximizing scheduling; 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 agruments, 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

This paper is available as a .pdf .