Wireless Communications
Optimized signaling for MIMO interference systems with feedback
IEEE Transactions on Signal Processing
Noncooperative Eigencoding for MIMO Ad hoc Networks
IEEE Transactions on Signal Processing
Reduced Feedback MIMO-OFDM Precoding and Antenna Selection
IEEE Transactions on Signal Processing
Cross-layer optimization for OFDM wireless networks-part II: algorithm development
IEEE Transactions on Wireless Communications
Grassmannian beamforming for multiple-input multiple-output wireless systems
IEEE Transactions on Information Theory
On the Achievable Sum Rate for MIMO Interference Channels
IEEE Transactions on Information Theory
Degrees of Freedom for the MIMO Interference Channel
IEEE Transactions on Information Theory
Utility-based resource allocation and scheduling in OFDM-based wireless broadband networks
IEEE Communications Magazine
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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.