Maximizing sum rate and minimizing MSE on multiuser downlink: Optimality, fast algorithms and equivalence via max-min SIR
- Creators
- Tan, Chee Wei
- Chiang, Mung
- Srikant, R.
Abstract
Maximizing the minimum weighted SIR, minimizing the weighted sum MSE and maximizing the weighted sum rate in a multiuser downlink system are three important performance objectives in joint transceiver and power optimization, where all the users have a total power constraint. We show that, through connections with the nonlinear Perron-Frobenius theory, jointly optimizing power and beamformers in the max-min weighted SIR problem can be solved optimally in a distributed fashion. Then, connecting these three performance objectives through the arithmetic-geometric mean inequality and nonnegative matrix theory, we solve the weighted sum MSE minimization and weighted sum rate maximization in the low to moderate interference regimes using fast algorithms.
Additional Information
© 2009 IEEE. We acknowledge helpful discussions with Steven Low at Caltech and Kevin Tang at Cornell. This research has been supported in part by ONR grant N00014-07-1-0864and NSF CNS 0720570.Attached Files
Published - Tan2009p110922009_Ieee_International_Symposium_On_Information_Theory_Vols_1-_4.pdf
Files
Name | Size | Download all |
---|---|---|
md5:c68441da466dc89c31ff85b84849c51f
|
886.3 kB | Preview Download |
Additional details
- Eprint ID
- 19444
- Resolver ID
- CaltechAUTHORS:20100816-134603680
- N00014-07-1-0864
- Office of Naval Research (ONR)
- CNS 0720570
- NSF
- Created
-
2010-08-16Created from EPrint's datestamp field
- Updated
-
2021-11-08Created from EPrint's last_modified field
- Other Numbering System Name
- INSPEC Accession Number
- Other Numbering System Identifier
- 10842361