Performance of polar codes with MIMO-OFDM under frequency selective fading channel

Koya Watanabe, Shoichi Higuchi, K. Maruta, C. Ahn
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引用次数: 4

Abstract

This paper presents the BER performance analysis of polar codes with MIMO-OFDM under frequency selective channel, which has not been disclosed so far. Multiple-input multiple-output (MIMO) has been widely implemented or standardized to improve the throughput performance of wireless communications. Forward error correction (FEC) codes are also key techniques for stably improving bit error rate (BER) and have been studied as well as a demodulation scheme. FEC is required to be composed of simple encoder and decoder while achieving good BER performance as much as possible. Polar codes emerged as a promising FEC scheme. This code has a simple recursive encoder structure by using a phenomenon called "channel polarization". In addition, it has been reported that polar codes provably achieve the theoretical limit for communication systems with a successive cancellation decoder based on likelihood ratio. An calculation complexity of polar codes is less than that of low density parity check (LDPC) codes. Therefore, polar codes are an effective technique in realizing low electric power consumption to meet one of the demand conditions of 5G. Based on legacy detection schemes as zero forcing (ZF) and maximum likelihood detection (MLD), computer simulation results reveal the fundamental BER performance with controlling coding rate. Moreover, there is a problem that the log likelihood ratio (LLR) of MLD detection for soft-decision decoding can not be obtained. Therefore, in this paper, we investigate the likelihood function of MLD detection in the proposed system.
频率选择性衰落信道下MIMO-OFDM极化码性能研究
本文对MIMO-OFDM极化码在频率选择信道下的误码率性能进行了分析,这是目前尚未公开的研究成果。多输入多输出(MIMO)技术已被广泛实施或标准化,以提高无线通信的吞吐量性能。前向纠错码(FEC)也是稳定提高误码率(BER)的关键技术,并且已经研究了一种解调方案。要求FEC由简单的编码器和解码器组成,同时尽可能实现良好的误码率性能。极码是一种很有前途的FEC方案。这个代码有一个简单的递归编码器结构,使用了一种叫做“信道极化”的现象。此外,有报道称,对于基于似然比的连续对消解码器的通信系统,极码可以证明达到理论极限。极码的计算复杂度低于低密度奇偶校验码。因此,极化码是实现低功耗、满足5G需求条件之一的有效技术。基于零强迫(zero forcing, ZF)和最大似然检测(maximum likelihood detection, MLD)等传统检测方案,计算机仿真结果揭示了在控制编码速率下的基本误码率性能。此外,软判决译码中MLD检测的对数似然比(LLR)无法得到。因此,在本文中,我们研究了该系统中MLD检测的似然函数。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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