面向大规模机对机物联网通信的ALOHA-NOMA

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摘要翻译：
提出了一种新的面向物联网应用的介质访问控制(MAC)协议，该协议将纯ALOHA和功率域非正交多址(NOMA)结合起来，其中发射机数目不作为先验信息，通过多假设检验估计。所提出的协议ALOHA-NOMA不仅具有可扩展性、能量高效性和满足物联网设备低复杂度的要求，而且还显著提高了吞吐量。具体地说，当通过SIC（连续干扰消除）接收机可以分离5个用户时，与纯ALOHA的经典结果0.18相比，ALOHA-NOMA的吞吐量提高到1.27。结果进一步表明，随着有效物联网设备数量的增加，吞吐量有超过线性的增长。
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英文标题：
《ALOHA-NOMA for Massive Machine-to-Machine IoT Communication》
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作者：
Eren Balevi, Faeik T. Al Rabee, and Richard D. Gitlin
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最新提交年份：
2018
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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：
  This paper proposes a new medium access control (MAC) protocol for Internet of Things (IoT) applications incorporating pure ALOHA with power domain non-orthogonal multiple access (NOMA) in which the number of transmitters are not known as a priori information and estimated with multi-hypothesis testing. The proposed protocol referred to as ALOHA-NOMA is not only scalable, energy efficient and matched to the low complexity requirements of IoT devices, but it also significantly increases the throughput. Specifically, throughput is increased to 1.27 with ALOHA-NOMA when 5 users can be separated via a SIC (Successive Interference Cancellation) receiver in comparison to the classical result of 0.18 in pure ALOHA. The results further show that there is a greater than linear increase in throughput as the number of active IoT devices increases.
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PDF链接：
https://arxiv.org/pdf/1803.09323

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关键词：OMA 物联网 大规模 Applications Optimization Machine 分离 MAC 协议 结果