Tata Institute of Fundamental Research
Scheduling Multi-Antenna Broadcast Systems with Heterogeneous Users
Seminar
Speaker:
Krishna Jagannathan
Massachusetts Institute of Technology
Room 31-011
Cambridge MA 02139
United States of Ame
Date:
Thursday, 10 Dec 2009 (all day)
Venue:
AG-69
(Scan to add to calendar)
Abstract:
Information-theoretic results indicate that multi-user multi-antenna systems provide potentially huge capacity gains. However, these results assume sophisticated coding techniques and perfect channel state information which may require a prohibitive amount of feedback. We show that transmitting to just a few suitably selected users is asymptotically optimal as the user population grows large, while dramatically reducing the feedback overhead and operational complexity. Specifically, we consider a multi-antenna broadcast system with M transmit antennas, and a heterogeneous user population. we tackle the problem of maximizing a weighted sum rate quantity. We establish a novel upper bound for the weighted sum capacity, which we then use to show that the maximum expected weighted sum rate can be asymptotically achieved by transmitting to a suitably selected subset of at most MC users, where C denotes the number of distinct user classes. Numerical experiments indicate that the asymptotic results are remarkably accurate and that the proposed schemes operate close to absolute performance bounds, even for a moderate number of users.
| Speaker: | Krishna Jagannathan Massachusetts Institute of Technology Room 31-011 Cambridge MA 02139 United States of Ame |
| Date: | Thursday, 10 Dec 2009 (all day) |
| Venue: | AG-69 |
(Scan to add to calendar)
Abstract:
Information-theoretic results indicate that multi-user multi-antenna systems provide potentially huge capacity gains. However, these results assume sophisticated coding techniques and perfect channel state information which may require a prohibitive amount of feedback. We show that transmitting to just a few suitably selected users is asymptotically optimal as the user population grows large, while dramatically reducing the feedback overhead and operational complexity. Specifically, we consider a multi-antenna broadcast system with M transmit antennas, and a heterogeneous user population. we tackle the problem of maximizing a weighted sum rate quantity. We establish a novel upper bound for the weighted sum capacity, which we then use to show that the maximum expected weighted sum rate can be asymptotically achieved by transmitting to a suitably selected subset of at most MC users, where C denotes the number of distinct user classes. Numerical experiments indicate that the asymptotic results are remarkably accurate and that the proposed schemes operate close to absolute performance bounds, even for a moderate number of users.