基于低复杂度对称码本设计的可见光SCMA 通信

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摘要翻译：
稀疏码多址(SCMA)被认为是5G系统中一种很有前途的多址接入技术，是目前研究的热点。它具有处理用户过载的能力，是未来大规模节点通信网络的一个很好的候选者。由于可见光通信(VLC)的通信范围有限，将SCMA引入到VLC中，为大规模节点通信网络的传输协议设计提供了新的机会，降低了干扰强度。然而，当将SCMA应用于VLC系统时，需要对SCMA码本进行修改，以适应VLC系统对实际信号和正信号的要求。我们将多维星座设计方法应用于SCMA码本中。为了降低设计复杂度，我们还提出了对称码书设计。对于所有提出的设计方法，最小欧几里得距离的目标是最大化。我们的对称码书设计可以同时降低设计和检测复杂度。仿真结果表明，我们的设计在迭代次数方面具有快速收敛性，并优于简单修改现有方法以满足VLC信号要求的设计。
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英文标题：
《SCMA with Low Complexity Symmetric Codebook Design for Visible Light
  Communication》
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作者：
Shun Lou, Chen Gong, Qian Gao, and Zhengyuan Xu
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最新提交年份：
2017
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分类信息：

一级分类：Electrical Engineering and Systems Science        电气工程与系统科学
二级分类：Signal Processing        信号处理
分类描述：Theory, algorithms, performance analysis and applications of signal and data analysis, including physical modeling, processing, detection and parameter estimation, learning, mining, retrieval, and information extraction. The term "signal" includes speech, audio, sonar, radar, geophysical, physiological, (bio-) medical, image, video, and multimodal natural and man-made signals, including communication signals and data. Topics of interest include: statistical signal processing, spectral estimation and system identification; filter design, adaptive filtering / stochastic learning; (compressive) sampling, sensing, and transform-domain methods including fast algorithms; signal processing for machine learning and machine learning for signal processing applications; in-network and graph signal processing; convex and nonconvex optimization methods for signal processing applications; radar, sonar, and sensor array beamforming and direction finding; communications signal processing; low power, multi-core and system-on-chip signal processing; sensing, communication, analysis and optimization for cyber-physical systems such as power grids and the Internet of Things.
信号和数据分析的理论、算法、性能分析和应用，包括物理建模、处理、检测和参数估计、学习、挖掘、检索和信息提取。“信号”一词包括语音、音频、声纳、雷达、地球物理、生理、（生物）医学、图像、视频和多模态自然和人为信号，包括通信信号和数据。感兴趣的主题包括：统计信号处理、谱估计和系统辨识；滤波器设计；自适应滤波/随机学习；（压缩）采样、传感和变换域方法，包括快速算法；用于机器学习的信号处理和用于信号处理应用的机器学习；网络与图形信号处理；信号处理中的凸和非凸优化方法；雷达、声纳和传感器阵列波束形成和测向；通信信号处理；低功耗、多核、片上系统信号处理；信息物理系统的传感、通信、分析和优化，如电网和物联网。
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英文摘要：
  Sparse code multiple access (SCMA) is attracting significant research interests currently, which is considered as a promising multiple access technique for 5G systems. It serves as a good candidate for the future communication network with massive nodes due to its capability of handling user overloading. Introducing SCMA to visible light communication (VLC) can provide another opportunity on design of transmission protocols for the communication network with massive nodes due to the limited communication range of VLC, which reduces the interference intensity. However, when applying SCMA in VLC systems, we need to modify the SCMA codebook to accommodate the real and positive signal requirement for VLC.We apply multidimensional constellation design methods to SCMA codebook. To reduce the design complexity, we also propose a symmetric codebook design. For all the proposed design approaches, the minimum Euclidean distance aims to be maximized. Our symmetric codebook design can reduce design and detection complexity simultaneously. Simulation results show that our design implies fast convergence with respect to the number of iterations, and outperforms the design that simply modifies the existing approaches to VLC signal requirements.
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PDF链接：
https://arxiv.org/pdf/1710.10976

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关键词：SCM 可见光 Applications Optimization Requirements 降低 reduce 提出 方法 due