Abstract
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.
Original language | English |
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Article number | 5577800 |
Pages (from-to) | 2511-2515 |
Number of pages | 5 |
Journal | IEEE Transactions on Communications |
Volume | 58 |
Issue number | 9 |
DOIs | |
Publication status | Published - 2010 Sept |
Keywords
- Multiple-input multiple-output (MIMO)
- group detection
- maximum-likelihood (ML) detection
- spatial multiplexing
ASJC Scopus subject areas
- Electrical and Electronic Engineering