Weighted sum-rate maximization scheduling for MIMO ad hoc networks

Ma Y, Schober R, Pasupathy S (2009)


Publication Type: Conference contribution

Publication year: 2009

Journal

Conference Proceedings Title: IEEE International Conference on Communications

Event location: Dresden DE

ISBN: 9781424434350

DOI: 10.1109/ICC.2009.5199573

Abstract

In this paper, we propose a duality-optimization based framework to maximize the weighted sum throughput for a multiple-input multiple-output (MIMO) ad hoc network. The new schemes include an approximate global optimization approach and an iterative search approach based on the duality framework. Transmitter adaptive precoding and receiver minimum mean-square-error (MMSE) detection for interference suppression are considered. Simulation results show that a significantly higher throughput is achieved for the dual optimization schemes than for the fixed mode precoding schemes and the transmit iterative waterfilling (IWF) scheme. The negative effects of transmit and receive antenna correlations are also studied. Results show that the proposed schemes are more robust against both transmit and receive correlations than the fixed-mode and IWF schemes. ©2009 IEEE.

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How to cite

APA:

Ma, Y., Schober, R., & Pasupathy, S. (2009). Weighted sum-rate maximization scheduling for MIMO ad hoc networks. In IEEE International Conference on Communications. Dresden, DE.

MLA:

Ma, Yao, Robert Schober, and Subbarayan Pasupathy. "Weighted sum-rate maximization scheduling for MIMO ad hoc networks." Proceedings of the 2009 IEEE International Conference on Communications, ICC 2009, Dresden 2009.

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