摘要翻译：
在非正交多址(NOMA)的背景下，提出了一种加权比例公平(PF)调度方法，该方法在接收端具有连续干扰抵消(SIC)。新方案引入了权重，使经典的PF度量适应于NOMA场景，改善了性能指标，并支持新的服务。该方案的显著价值在于它能够提高长期公平性和总系统吞吐量，同时在每个调度时隙中实现高水平的公平性。最后，仿真结果表明，权重计算引起的额外复杂度对整个调度器复杂度的影响有限，而仿真结果证实了所提出的改进，使该方案成为蜂窝下行链路系统中资源分配的一种有吸引力的替代方案。
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英文标题：
《Weighted Proportional Fair Scheduling for Downlink Non-Orthogonal
  Multiple Access》
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作者：
Marie-Rita Hojeij, Charbel Abdel Nour, Joumana Farah, and Catherine
  Douillard
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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：
  In this paper, a weighted proportional fair (PF) scheduling method is proposed in the context of non-orthogonal multiple access (NOMA) with successive interference cancellation (SIC) at the receiver side. The new scheme introduces weights that adapt the classical PF metric to the NOMA scenario, improving performance indicators and enabling new services. The distinguishing value of the proposal resides in its ability to improve long term fairness and total system throughput while achieving a high level of fairness in every scheduling slot. Finally, it is shown that the additional complexity caused by the weight calculation has only a limited impact on the overall scheduler complexity while simulation results confirm the claimed improvements making the proposal an appealing alternative for resource allocation in a cellular downlink system.
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PDF链接：
https://arxiv.org/pdf/1710.10857