论文标题

具有优化广义差调制的非连接DF继电器网络的检测和性能分析

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

论文作者

Lu, Yuxin, Mow, Wai Ho

论文摘要

本文研究了带有$ n $并行解码(DF)继电器的中继网络的检测和性能分析问题。由于该网络的分布性,因此满足瞬时频道状态信息以进行连贯检测几乎是非常具有挑战性的。为了绕过这一要求,我们考虑基于广义差调制(GDM)方案的非辅助DF继电器的使用,在执行差异编码时,利用了$ M $ - ARY相移键符上的传输功率分配。在本文中,提出了这种非连锁DF继电器网络目的地的新颖探测器。它是最先进的检测器的准确近似值,称为几乎最大似然检测器(AMLD),但是检测复杂性大大降低了$ \ Mathcal {o}(M^2n)$到$ \ MATHCAL {O}(O}(MN)$。通过表征主要的误差项,我们得出了准确的近似符号错误率(SER)表达式。 GDM的优化功率分配方案是基于此SER表达式进一步设计的。我们的仿真表明,随着块长度的增加,提出的非固定方案可以执行接近相干对应。此外,我们证明了拟议检测器和AMLD的多样性顺序恰好是$ \ lceil n/2 \ rceil + 1 $。在各种情况下,广泛的仿真结果进一步验证了我们结果的准确性。

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.

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