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摘要翻译：
自适应调制编码(AMC)技术广泛应用于现代无线通信系统中，通过根据信道条件调整传输速率来提高传输效率。因此，AMC可以提供信道资源的非常有效的使用，特别是在衰落信道上。正交幅度调制(QAM)是一种应用广泛的数字调制技术。它通常采用矩形信号星座。因此，星座的判决区域是二维信号空间的平方分区。然而，众所周知，六边形而不是正方形在二维中提供了最紧凑的规则平铺。紧凑的平铺意味着星座点的密集包装，从而更节能的数据传输。六角调制可能很难实现，因为它不能很好地适应二进制数据使用的通常的二次幂符号大小。为了克服这一问题，本文将非二进制编码与六角调制相结合，提供了一种兼容二进制数据的系统。通过一个基于软件定义无线电(SDR)的原型系统，对该方法的可行性和有效性进行了评估。大量的仿真结果表明，该方法可以提高无线通信系统的能量效率和频谱利用率。
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英文标题：
《Beyond Powers of Two: Hexagonal Modulation and Non-Binary Coding for
Wireless Communication Systems》
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作者：
Zhe Yang, Lin Cai, Aaron Gulliver, Liang He and Jianping Pan
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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：
Adaptive modulation and coding (AMC) is widely employed in modern wireless communication systems to improve the transmission efficiency by adjusting the transmission rate according to the channel conditions. Thus, AMC can provide very efficient use of channel resources especially over fading channels. Quadrature Amplitude Modulation (QAM) is an ef- ficient and widely employed digital modulation technique. It typically employs a rectangular signal constellation. Therefore the decision regions of the constellation are square partitions of the two-dimensional signal space. However, it is well known that hexagons rather than squares provide the most compact regular tiling in two dimensions. A compact tiling means a dense packing of the constellation points and thus more energy efficient data transmission. Hexagonal modulation can be difficult to implement because it does not fit well with the usual power- of-two symbol sizes employed with binary data. To overcome this problem, non-binary coding is combined with hexagonal modulation in this paper to provide a system which is compatible with binary data. The feasibility and efficiency are evaluated using a software-defined radio (SDR) based prototype. Extensive simulation results are presented which show that this approach can provide improved energy efficiency and spectrum utilization in wireless communication systems.
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PDF链接：
https://arxiv.org/pdf/1712.0763
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