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雷达卡
摘要翻译：
本文介绍了将非正交多址(NOMA)与分布式基站(DBS)部署相结合的新方法。本研究的目的在于揭示DBS系统在NOMA环境下的真正潜力，因为以前所有关于NOMA功率最小化的工作都是在CBS（集中式基站）环境下进行的。该工作的目标是在用户速率和功率复用约束下，使每个小区的总发射功率最小化。为联合分配副载波、天线和功率设计了不同的技术，特别注意确保适度的复杂度。结果表明，相对于DBS-OMA（正交多址接入）和CBS-NOMA部署场景，通过DBS-NOMA组合获得的总发射功率有了重要的增益。
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英文标题：
《Power Minimization Techniques in Distributed Base Station Antenna
Systems using Non-Orthogonal Multiple Access》
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作者：
Joumana Farah, Antoine Kilzi, Charbel Abdel Nour, 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：
This paper introduces new approaches for combining non-orthogonal multiple access (NOMA) with distributed base station (DBS) deployments. The purpose of the study is to unlock the true potentials of DBS systems in the NOMA context, since all previous works dealing with power minimization in NOMA are performed in the CBS (centralized base station) context. This work targets a minimization of the total transmit power in each cell, under user rate and power multiplexing constraints. Different techniques are designed for the joint allocation of subcarriers, antennas and power, with a particular care given to insuring a moderate complexity. Results show an important gain in the total transmit power obtained by the DBS-NOMA combination, with respect to both DBS-OMA (orthogonal multiple access) and CBS-NOMA deployment scenarios.
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PDF链接：
https://arxiv.org/pdf/1710.06619
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