Abstract
This paper considers the problem of uplink transmission over multiple-input multiple-output (MIMO) channels affected by slow frequency-nonselective uncorrelated and correlated Rayleigh fading. We consider the case when channel state information, corrupted by estimation errors, is available at the receiver only. In this setting, we generalize the derivation of our previously proposed linear-complexity MIMO signal detector and derive closed-form expressions for the distribution of its soft outputs and the approximate symbol error probability. Based on this soft decision detector, we consider a turbo-coded MIMO uplink architecture with iterative processing, which enables performance within 1.6 to 2.8 dB of the ergodic capacity limit and outperforms the T-BLAST (turbo-Bell Laboratories layered space-time) system by about 10 dB at bit error rates of 10-5. The presented results illustrate that this linear-complexity MIMO signal detector is highly robust to channel estimation errors.
Highlights
The goal of next-generation wireless systems will be to provide high data rate access on both uplink and downlink transmission scenarios, while compensating for the harsh impairments introduced by the radio-frequency channel
We focus on the specific problem of achieving reliable high data rate transmission on uplink wireless channels where only the receiver possesses channel state information (CSI), that is, corrupted by estimation errors
We generalize the linearly complex multiple-input multiple-output (MIMO) signal detector proposed in [1, 2] to channels with estimation errors. We incorporate this detector into a turbo-coded MIMO system and we observe that it achieves near ergodic capacity performance and outperforms T-BLAST [3] by about 10 dB on selected slow frequency-nonselective Rayleigh fading channels
Summary
The goal of next-generation wireless systems will be to provide high data rate access on both uplink and downlink transmission scenarios, while compensating for the harsh impairments introduced by the radio-frequency channel. MIMO signal detection should be robust to channel estimation errors These two requirements, robustness and complexity, are of significance for future wireless systems as these operate on harsh channels and are expected to use a large number of antennas at both ends of the wireless link [21]. We generalize the linearly complex MIMO signal detector proposed in [1, 2] to channels with estimation errors We incorporate this detector into a turbo-coded MIMO system and we observe that it achieves near ergodic capacity performance and outperforms T-BLAST [3] by about 10 dB on selected slow frequency-nonselective Rayleigh fading channels.
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