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

摘要

In this paper, we present a low-complexity algorithm for detection inhigh-rate, non-orthogonal space-time block coded (STBC) large-MIMO systems thatachieve high spectral efficiencies of the order of tens of bps/Hz. We alsopresent a training-based iterative detection/channel estimation scheme for suchlarge STBC MIMO systems. Our simulation results show that excellent bit errorrate and nearness-to-capacity performance are achieved by the proposedmultistage likelihood ascent search (M-LAS) detector in conjunction with theproposed iterative detection/channel estimation scheme at low complexities. Thefact that we could show such good results for large STBCs like 16x16 and 32x32STBCs from Cyclic Division Algebras (CDA) operating at spectral efficiencies inexcess of 20 bps/Hz (even after accounting for the overheads meant for pilotbased training for channel estimation and turbo coding) establishes theeffectiveness of the proposed detector and channel estimator. We decode perfectcodes of large dimensions using the proposed detector. With the feasibility ofsuch a low-complexity detection/channel estimation scheme, large-MIMO systemswith tens of antennas operating at several tens of bps/Hz spectral efficienciescan become practical, enabling interesting high data rate wirelessapplications.