摘要
针对现有量化转发(QF)复杂度较高的缺陷,提出了低复杂度QF方案。采用了低阶量化和调制,使复杂度有较大降低。在目的节点,将量化信息和直传信息最大比合并(MRC),可降低系统误码率(BER)。理论分析表明:可获得与目前较优的压缩转发(CF)协议相同的可达速率,且不受源到中继链路限制,故优于译码转发(DF)方案。基于二进制相移键控(BPSK)调制和低密度奇偶校验(LDPC)信道编码,仿真分析了1 bit和2 bit量化的BER性能。结果表明:2 bit量化较DF和1 bit量化有更大的增益,而且在中继距离目的节点较近时,所提QF协议具有相对较好的BER性能。
An improved low-complex quantize-and-forward （QF） scheme is proposed to replace the current QF relay system to overcome high computational complexity. The computational complexity is reduced by combining low-order modulation and quantization. At the destination node, it adopts maximum ratio combination （MRC） for the quantized as well as directly transmitted information. Additionally, the bit error rate （BER） of the entire system could be sig- nificantly reduced. The theoretical analysis illustrated that the achievable rate of the QF relay system is similar to the rate of the current compress-and-forward （CF） scheme. Further, the method was not limited by the source-relay channel. Therefore, it was better than the decode-and-forward （DF） scheme. Finally, the BER performance of the schemes with 1 bit and 2 bit quantization were simulated based on the binary phase shift keying （BPSK） modulation and low-density parity-check （LDPC） channel coding. The simulation results indicated that the 2 bit quantization scheme achieved significantly higher performance gains than the DF and 1 bit quantization schemes. Furthermore, the QF scheme exhibited relatively excellent BER performance when the relay node was close to the destination node.
出处
《哈尔滨工程大学学报》
EI
CAS
CSCD
北大核心
2018年第1期173-178,共6页
Journal of Harbin Engineering University
基金
国家自然科学基金项目(61471152)
浙江省自然科学基金项目(LZ14F010003)
浙江省公益性技术应用研究计划项目(2015C31103)
东南大学移动通信国家重点实验室开放研究基金项目(2014D02)
关键词
量化转发
低阶量化
最大比合并
低密度奇偶校验码
信道容量
误码率
quantize-and-forward
low-order quantization
maximum ratio combining
LDPC codes
channel capacity
bit error rate （BER）
作者简介
包建荣（1978-），男，副教授．通信作者：包建荣，E-mail：baojr@hdu．edu．cn．
