Title :
Low-latency near-capacity MIMO detection using parallel and hybrid QRD-MCMC algorithm
Author :
Bin Liu ; Jie Zhang ; Kai-Kit Wong ; Liwen He ; Chengpeng Hao
Author_Institution :
Sch. of Comput. Sci. & Technol., Nanjing Univ. of Posts & Telecommun., Nanjing, China
Abstract :
In this paper, we devise a near-optimal fast multiple-input multiple-output (MIMO) detector. Our proposed approach is a parallel architecture of QRD in tandem with Markov-chain Monte-Carlo (MCMC) processing, referred to as hybrid parallel QRD-MCMC (HPQRD-MCMC). Simulation results show that for a 4 × 4 MIMO system, HPQRD-MCMC can reduce the detection delay by 45%, compared with some existing MCMC detectors, and the reduction is more for higher dimensional systems, without compromising the error probability performance. With stringent latency requirements, the proposed detector outperforms significantly existing MCMC detectors.
Keywords :
MIMO communication; Markov processes; Monte Carlo methods; error statistics; parallel algorithms; parallel architectures; signal detection; MIMO system; Markov-chain Monte-Carlo processing; detection delay reduction; error probability performance; hybrid QRD-MCMC algorithm; low-latency near-capacity MIMO detection; near-optimal fast multiple-input multiple-output detector; parallel QRD-MCMC algorithm; parallel architecture; stringent latency requirements; Bit error rate; Complexity theory; Delays; Detectors; MIMO; Markov processes; Signal to noise ratio; MCMC; MIMO detection; QR decomposition; parallel algorithm;
Conference_Titel :
Signal and Information Processing (ChinaSIP), 2015 IEEE China Summit and International Conference on
Conference_Location :
Chengdu
DOI :
10.1109/ChinaSIP.2015.7230535