Reduced complexity MIMO detectors for LDPC coded systems

Matache, A.; Jones, Christopher R.; Wesel, Richard D.

doi:10.1109/milcom.2004.1494998

Cited by 39 publications

(40 citation statements)

References 13 publications

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“…We can observe that the required E b /N 0 becomes less from the initial to the final stages when multiple receive antennas, LDPC coding and iterative decoding, relay and multi-relay are consecutively applied to the system. Hence, the gain by Motivated by [11,[24][25][26][27], in particular, the recently published paper [26], we further investigate the performance of joint iterative detection and decoding for MIMO and BP-based decoder for LDPC-coded one-relay cooperation with the same LDPC codes given in the second row of Table 1), where MIMO detection by an MAP detector and BP-based decoder for LDPC code form a joint iterative detection and decoding [26, Fig. 1].…”

Section: Simulation Resultsmentioning

confidence: 99%

Joint iterative decoding for LDPC‐coded multi‐relay cooperation with receive multi‐antenna in the destination

et al. 2013

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This study proposes an low density party check (LDPC)-coded multi-relay cooperation with receive multi-antenna in the destination over a Rayleigh-fading channel, where maximal ratio combining and belief propagation algorithm (BP)-based joint iterative decoding based on the introduced multi-layer Tanner graph are effectively designed to detect and decode the corrupted received sequence at the destination. The overall code rate from the destination is derived mathematically in relation to all the constituent LDPC codes employed by source and multiple relays. Theoretical analysis and numerical simulation show that the proposed approach can well combine diversity and coding gains, which consequently result in significant advantage over the conventional cooperations under the same conditions.

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Section: Simulation Resultsmentioning

confidence: 99%

Joint iterative decoding for LDPC‐coded multi‐relay cooperation with receive multi‐antenna in the destination

et al. 2013

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“…Following [25], a detection estimateŝ k of the transmitted symbol on k-th antenna by multiplying y k with the MMSE weight vector W kŝ…”

Section: A Detection Principlementioning

confidence: 99%

Achieving Near Capacity of Non-Binary LDPC Coded Large MIMO Systems with a Novel Ultra Low-Complexity Soft-Output Detector

Suthisopapan

Kasai

Meesomboon

et al. 2013

IEEE Trans. Wireless Commun.

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Recently, it has been proved that both MMSE and MF detectors are near optimal detection for large scale MIMO systems, e.g., MIMO systems with hundreds of antennas. In order to attain near capacity region with reasonable complexity, lowcomplexity detector with soft-output generation is necessary for coded large MIMO systems. We show in this paper that the nonbinary LDPC codes and well-known soft-output MMSE detector can be utilized to significantly reduce the gap to capacity. We also propose a novel soft-output MF-based detector for the non-binary LDPC coded large MIMO systems. With this proposed detector, capacity approaching performance, i.e., the gap to capacity of 1.6 dB, can be achieved with ultra low-complexity detection, e.g., just 0.28% of MMSE detection. Moreover, use of the proposed scheme in large MIMO systems is found to be robust to the presence of imperfect channel estimation and spatial fading correlation which are both the realistic scenarios for large MIMO systems.

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“…Following [24], a detection estimateŝ k of the transmitted symbol on k-th antenna by multiplying y k with the MMSE weight vector W kŝ…”

Section: A Detection Principlementioning

confidence: 99%

Approaching capacity of large MIMO systems by non-binary LDPC codes and MMSE detection

Suthisopapan

Kasai

Imtawil

et al. 2012

2012 IEEE International Symposium on Information Theory Proceedings

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In this paper, the application of non-binary low-density parity-check (NBLDPC) codes to MIMO systems which employ hundreds of antennas at both the transmitter and the receiver has been proposed. Together with the well-known low-complexity MMSE detection, the moderate length NBLDPC codes can operate closer to the MIMO capacity, e.g., capacity-gap about 3.5 dB (the best known gap is more than 7 dB). To further reduce the complexity of MMSE detection, a novel soft output detection that can provide an excellent coded performance in low SNR region with 99% complexity reduction is also proposed. The asymptotic performance is analysed by using the Monte Carlo density evolution. It is found that the NBLDPC codes can operate within 1.6 dB from the MIMO capacity. Furthermore, the merit of using the NBLDPC codes in large MIMO systems with the presence of imperfect channel estimation and spatial fading correlation which are both the realistic scenarios for large MIMO systems is also pointed out.

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Reduced complexity MIMO detectors for LDPC coded systems

Cited by 39 publications

References 13 publications

Joint iterative decoding for LDPC‐coded multi‐relay cooperation with receive multi‐antenna in the destination

Joint iterative decoding for LDPC‐coded multi‐relay cooperation with receive multi‐antenna in the destination

Achieving Near Capacity of Non-Binary LDPC Coded Large MIMO Systems with a Novel Ultra Low-Complexity Soft-Output Detector

Approaching capacity of large MIMO systems by non-binary LDPC codes and MMSE detection

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