arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2007.13452cs.ITcs.PFeess.SPmath.IT
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非相干DF中继网络的优化广义差分调制检测与性能分析

Detection and Performance Analysis for Non-Coherent DF Relay Networks with Optimized Generalized Differential Modulation

Yuxin Lu, Wai Ho Mow

摘要:

研究了具有$N$并行解码转发(DF)中继的中继网络的检测和性能分析问题。由于这种网络的分布式特性,它实际上是非常具有挑战性的,以满足瞬时信道状态信息的相干检测的要求。为了绕过这一要求,我们考虑使用非相干DF中继的基础上的广义差分调制(GDM)计划,其中传输功率分配的$M$ -ary相移键控符号时,利用差分编码。在本文中,提出了一种新的检测器在这样的非相干DF中继网络的目的地。它是最先进检测器的精确近似,称为几乎最大似然检测器(AMLD),但检测复杂度从$\mathcal{O}(M^2N)$显著降低到$\mathcal{O}(MN)$。通过对主要误差项的描述,我们得到了精确的符号出错率(SER)近似表达式。在此基础上,进一步设计了GDM的优化功率分配方案。我们的模拟表明,所提出的非相干方案可以执行接近相干对应的块长度的增加。此外,我们证明了所提出的检测器和AMLD的分集阶数正好是$\lceil N/2 \rceil + 1$。大量的仿真结果进一步验证了我们的结果在各种情况下的准确性。

英文摘要:

This paper studies the detection and performance analysis problems for a relay network with $N$ parallel decode-and-forward (DF) relays. Due to the distributed nature of this network, it is practically very challenging to fulfill the requirement of instantaneous channel state information for coherent detection. To bypass this requirement, we consider the use of non-coherent DF relaying based on a generalized differential modulation (GDM) scheme, in which transmission power allocation over the $M$-ary phase shift keying symbols is exploited when performing differential encoding. In this paper, a novel detector at the destination of such a non-coherent DF relay network is proposed. It is an accurate approximation of the state-of-the-art detector, called the almost maximum likelihood detector (AMLD), but the detection complexity is considerably reduced from $\mathcal{O}(M^2N)$ to $\mathcal{O}(MN)$. By characterizing the dominant error terms, we derive an accurate approximate symbol error rate (SER) expression. An optimized power allocation scheme for GDM is further designed based on this SER expression. Our simulation demonstrates that the proposed non-coherent scheme can perform close to the coherent counterpart as the block length increases. Additionally, we prove that the diversity order of both the proposed detector and the AMLD is exactly $\lceil N/2 \rceil + 1$. Extensive simulation results further verify the accuracy of our results in various scenarios.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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