The Impact of Channel Estimation Errors and Co-antenna Interference on the Performance of a Coded MIMO System
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The Impact of Channel Estimation Errors and Co-antenna Interference on the Performance of a Coded MIMO System Naveen Mysore Department of Electrical and Computer Engineering, McGill University, 3480 University Street, Montreal, QC, Canada H3A 2A7 Email: [email protected]
Jan Bajcsy Department of Electrical and Computer Engineering, McGill University, 3480 University Street, Montreal, QC, Canada H3A 2A7 Email: [email protected] Received 2 March 2004; Revised 3 September 2004 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. Keywords and phrases: coded MIMO systems, channel estimation errors, MIMO signal detection, iterative detection and decoding.
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INTRODUCTION
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. Powerful error-correcting codes such as turbo codes [4] have already been included in the third-generation standard and will form a key component in beyond 3G systems. Through the use of spatial diversity, multiple-input multiple-output (MIMO) wireless systems have the potential of supporting very high data rates [5, 6]. However, availability of channel state information only at the receiver and signal impairments (such as noise, co-antenna interference, and multipath fading) are the main obstacles in achieving reliable transmission over wireless MIMO channels. Furthermore, in most This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
practical scenarios, the occurrence of spatial correlation between antenna elements at the transmitter and receiver as well as channel estimation errors at the receiver reduces the MIMO channel capacity [7, 8]. The particular case of imperfect channel state information (CSI) has also been explored and shown to reduce the performance of specific MIMO transceiver architectures in [9, 10, 11, 12]. To achieve
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