Convex Optimization
Channel-Adaptive Technologies and Cross-Layer Designs for Wireless Systems with Multiple Antennas: Theory and Applications (Wiley Series in Telecommunications and Signal Processing)
EURASIP Journal on Applied Signal Processing
Adaptive resource allocation for multiuser MIMO systems with transmit group MMSE
IEEE Transactions on Wireless Communications
Optimum linear joint transmit-receive processing for MIMO channels with QoS constraints
IEEE Transactions on Signal Processing
Zero-forcing methods for downlink spatial multiplexing in multiuser MIMO channels
IEEE Transactions on Signal Processing
Output MAI distributions of linear MMSE multiuser receivers in DS-CDMA systems
IEEE Transactions on Information Theory
Diversity and multiplexing: a fundamental tradeoff in multiple-antenna channels
IEEE Transactions on Information Theory
On the nonexistence of rate-one generalized complex orthogonal designs
IEEE Transactions on Information Theory
A simple transmit diversity technique for wireless communications
IEEE Journal on Selected Areas in Communications
Adaptive resource allocation for multiuser MIMO systems with transmit group MMSE
IEEE Transactions on Wireless Communications
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In this paper, we propose an integrated cross-layer optimization framework for resource allocation over a multi-user MIMO system using Transmit Group MMSE (Tx-GMMSE) at the base station. We adopt the full-rate full-diversity orthogonal STBC in the multi-user Tx-GMMSE physical layer allowing a flexible tradeoff of spatial multiplexing (for spectral efficiency) and full rate spatial diversity (for protection against packet outage) with various number of antenna groupings. The proposed cross-layer framework, which determines the user selection, rate selection, power selection as well as mode selection (spatial diversity or spatial multiplexing) for each user, can introduce robustness to the potential packet transmission errors even at moderate to large CSIT errors.