A Markov Chain Monte Carlo Algorithm for Near-Optimum Detection of MIMO-GFDM Signals

被引：0
|
作者：
Zhang, Dan [1 ]
Matthe, Maximilian [1 ]
Mendes, Luciano Leonel [1 ,2 ]
Fettweis, Gerhard [1 ]
机构：
[1] Tech Univ Dresden, Vodafone Chair Mobile Commun Syst, D-01062 Dresden, Germany
[2] Intituto Nacl Telecomunicacoes, Sta Rita Do Sapucai, MG, Brazil
来源：
2015 IEEE 26TH ANNUAL INTERNATIONAL SYMPOSIUM ON PERSONAL, INDOOR, AND MOBILE RADIO COMMUNICATIONS (PIMRC) | 2015年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Within the framework of Monte Carlo simulation. this paper derives a Markov chain Monte Carlo (MCMC) algorithm for efficient detection in multiple-input multiple output (MIMO) systems using the non-orthogonal multi-carrier waveform termed generalized frequency division multiplexing (GFDM). The proposed MCMC algorithm performs the detection task in frequency domain. Its adopted proposal distribution and Gibbs sampler are tailored under the consideration of complexity and latency for tackling the three-dimensional interference involved in the received signal, i.e., inter-carrier, inter-symbol and inter-antenna interference. By means of simulation, its decoding performance is compared with that achieved by employing the sphere decoding algorithm in a conventional orthogonal frequency division multiplexing (OFDM) based MIMO system. For multi-path fading channels with strong frequency selectivity, the MCMC algorithm proposed for the MIMO-GFDM system can deliver superior performance.
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页码：281 / 286
页数：6
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