High-Rate Space-Time Coded Large MIMO Systems: Low-Complexity Detection and Channel Estimation

Abstract

In this paper, we present a low-complexity algorithm for detection in high-rate, non-orthogonal space-time block coded (STBC) large-MIMO systems that achieve high spectral efficiencies of the order of tens of bps/Hz. We also present a training-based iterative detection/channel estimation scheme for such large STBC MIMO systems. Our simulation results show that excellent bit error rate and nearness-to-capacity performance are achieved by the proposed multistage likelihood ascent search (M-LAS) detector in conjunction with the proposed iterative detection/channel estimation scheme at low complexities. The fact that we could show such good results for large STBCs like 16x16 and 32x32 STBCs from Cyclic Division Algebras (CDA) operating at spectral efficiencies in excess of 20 bps/Hz (even after accounting for the overheads meant for pilot based training for channel estimation and turbo coding) establishes the effectiveness of the proposed detector and channel estimator. We decode perfect codes of large dimensions using the proposed detector. With the feasibility of such a low-complexity detection/channel estimation scheme, large-MIMO systems with tens of antennas operating at several tens of bps/Hz spectral efficiencies can become practical, enabling interesting high data rate wireless applications.

v3: Performance/complexity comparison of the proposed scheme with other large-MIMO architectures/detectors has been added (Sec. IV-D). The paper has been accepted for publication in IEEE Journal of Selected Topics in Signal Processing (JSTSP): Spl. Iss. on Managing Complexity in Multiuser MIMO Systems. v2: Section V on Channel Estimation is updated

References in corpus (3)

• Performance Analysis of Iterative Channel Estimation and Multiuser Detection in Multipath DS-CDMA Channels
• Asymptotic Analysis of the Performance of LAS Algorithm for Large-MIMO Detection
• Large MIMO Detection: A Low-Complexity Detector at High Spectral Efficiencies

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• Adaptive Minimum BER Reduced-Rank Linear Detection for Massive MIMO Systems
• Low-Complexity Near-ML Decoding of Large Non-Orthogonal STBCs using Reactive Tabu Search
• Near Capacity Approaching for Large MIMO Systems by Non-Binary LDPC Codes with MMSE Detection
• Performance Analysis of Regularized Convex Relaxation for Complex-Valued Data Detection
• A Hybrid RTS-BP Algorithm for Improved Detection of Large-MIMO M-QAM Signals
• Adaptive Reduced-Rank Equalization Algorithms Based on Alternating Optimization Design Techniques for Multi-Antenna Systems