Simple algorithms for the partial singular value decomposition
The Computer Journal
Matrix computations (3rd ed.)
On Limits of Wireless Communications in a Fading Environment when UsingMultiple Antennas
Wireless Personal Communications: An International Journal
Space-time bit-interleaved coded modulation for OFDM systems
IEEE Transactions on Signal Processing
A Leakage-Based Precoding Scheme for Downlink Multi-User MIMO Channels
IEEE Transactions on Wireless Communications
IEEE Transactions on Wireless Communications - Part 1
Optimal Successive Group Decoders for MIMO Multiple-Access Channels
IEEE Transactions on Information Theory
Group detection for synchronous Gaussian code-division multiple-access channels
IEEE Transactions on Information Theory
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In this letter, we propose a new groupwise receive combiner design for multiple-input multiple-output spatial multiplexing systems. The conventional group detection (GD) suffers from a considerable performance loss since the noise components are not taken into account. The output signal-to-interference-plus-noise ratio (SINR) is defined in each subgroup in order to consider both the desired signal and noise statistics. Adopting the real-valued representation, we provide an optimal receive combiner which maximizes the SINR with a general group size. The simulation results show that the proposed scheme achieves a large performance gain over the conventional GD in coded systems. Also, when combining with near-optimal detection algorithms such as sphere decoder, the proposed GD scheme offers a comparable performance with significant reduced complexity.