The Impact of Channel Estimation Errors and Co-antenna Interference on the Performance of a Coded MIMO System

Abstract

<p/> <p>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 <inline-formula><graphic file="1687-6180-2005-741650-i1.gif"/></inline-formula>. The presented results illustrate that this linear-complexity MIMO signal detector is highly robust to channel estimation errors.</p

BER bounding techniques for selected turbo coded MIMO systems in Rayleigh fading

“…For higher order modulations, a reevaluation of the dependency of Euclidean distances on Hamming distances in (14) is required. (12) p(dlw) =Pis (dISlw)PIp (dIPlw)P2P (d2plw), (11) where d =dIs + dIP + d 2P and dIs' dIP' d 2P are the Hamming weight contributions of the systematic stream, parity stream from encoder 1 and parity stream from encoder 2, respectively. The probability PIs (dIs Iw) is 1 when dIS = wand is zero otherwise, while where (~) is the number of codewords for which corresponding message sequence has Hamming weight w and p ( dl w) is the probability of a codeword having weight of d when the message has weight ofw.…”

“…Recently, multiple antenna or MIMO systems have theoretically been shown to provide the potential for very high spectral efficiencies and large wireless link capacities [2], [3]. Turbo-coded MIMO systems are explored as a potential technology to achieve high data rates at low signal-to-noise ratios (SNRs) [4] - [11]. Bit error rate (BER) analysis techniques are useful in speedy evaluation of turbo-coded MIMO system performance and can provide insights on various design parameters.…”

“…Performance of turbo-coded MIMO systems is usually obtained using extensive simulations (e.g., [5] - [11]). The only attempt at BER analysis of turbo-coded MIMO systems on time-varying channels has been made in [12], where resulting BER upper bounds are within about 2 dB of the simulated performance on quasi-static Rayleigh fading channels.…”

“…The only attempt at BER analysis of turbo-coded MIMO systems on time-varying channels has been made in [12], where resulting BER upper bounds are within about 2 dB of the simulated performance on quasi-static Rayleigh fading channels. In this paper, we propose a different method to evaluate BER bounds for our recently proposed turbo-coded uplink MIMO systems with a linearly complex MIMO signal detector [9], [11].…”

On achieving near-capacity transmission in uplink multi-user MIMO systems: performance analysis and simulation results

“…Consequently, polynomially complex MIMO signal detectors have been proposed and explored in [12] - [14]. Recently, we have proposed a linearly complex MIMO signal detector, which allows coded transmission at rates close to the ergodic capacity limit in [15], [16].…”