可见光通信的码域非正交多址

Jincheng Dai, K. Niu, Jiaru Lin
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引用次数: 5

摘要

高速室内可见光通信(VLC)系统的主要限制是光源带宽较窄。因此,本文引入码域非正交多址(CD-NOMA)技术来提高VLC下行网络的可达吞吐量。与VLC系统中的功率域NOMA (PD-NOMA)相比,CD-NOMA可以更有效地与正交频分复用(OFDM)传输相结合,从而更具实际实施吸引力。与PD-NOMA中的SIC多用户检测相比,因子图中的消息传递算法(MPA)作为CD-NOMA VLC系统中的多用户检测方案。因此,结合MPA检测的特点和VLC信道增益,我们首先制定了OFDM各子载波叠加信号的功率分配准则,以保持用户公平性。此外,请注意,在稳定且高信噪比的VLC通道下,底层因子图的周长确实主导了MPA检测的性能。因此,我们提出了一种递进边缘置换(PEP)算法来优化从用户数据到OFDM子载波的映射模式。因此,整个因子图的周长明显增大,CD-NOMA VLC系统的MPA检测性能得到了很好的提高。通过数值误差性能上界分析和蒙特卡罗仿真验证了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Code-Domain Non-Orthogonal Multiple Access for Visible Light Communications
The key limitation of high-speed indoor visible light communication (VLC) system is the narrow bandwidth of the light sources. Accordingly, in this paper, we introduce the code-domain non-orthogonal multiple access (CD-NOMA) to enhance the achievable throughput in VLC downlink networks. Compared to the power-domain NOMA (PD-NOMA) in VLC systems, the CD-NOMA can be more efficiently combined with the orthogonal frequency division multiplexing (OFDM) transmission so that it will be more attractive for practical implementation. In contrast to the SIC multiuser detection in PD-NOMA, message passing algorithm (MPA) in the factor graph acts as the multiuser detection scheme in the CD-NOMA VLC systems. Hence, combining the features MPA detection and the VLC channel gain, we first develop a power allocation criterion for the superposition signals at each OFDM subcarrier so as to maintain the user fairness. Furthermore, note that under the stable and high signal-to-noise ratio VLC channel, the underlying factor graph's girth indeed dominates the performance of MPA detection. Accordingly, we propose a progressive edge-permutation (PEP) algorithm to optimize the mapping patterns from the users' data to the OFDM subcarriers. Consequently, the girth of the whole factor graph is obviously enlarged and the performance of MPA detection in the CD-NOMA VLC systems is well boosted. The effectiveness of the proposed method is verified via the numerical error performance upper bound analysis and the Monte-Carlo simulation.
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