摘要翻译：
本文研究了多小区网络下行链路的动态功率分配问题，其中每个小区采用基于非正交多址(NOMA)的资源分配。此外，在多个小区之间使用协调多点(CoMP)传输来服务经历严重的小区间干扰(ICI)的用户。更具体地说，我们考虑一个两层异构网络(HetNet)，它由一个高功率宏小区和多个低功率小小区组成，每个小小区使用相同的资源块。在此{\em CoMP-NOMA框架}下，CoMP传输被应用于具有多个基站/小区的高信道增益用户，而NOMA被用于在相同的传输资源（即时间、频谱和空间）上调度CoMP和非CoMP用户。讨论了不同的CoMP-NOMA模型，但主要集中在联合传输CoMP-NOMA（JT-CoMP-NOMA）模型上。对于JT-CoMP-NOMA模型，提出了一个最优联合功率分配问题，并对由多个协作BSs（即CoMP BSs）组成的每个CoMP集导出了求解方法。为了克服联合功率优化方法的计算复杂性，我们提出了一个分布式功率优化问题，该问题的最优解独立于其他协调的基站的解。给出了联合功率优化问题分布式解的有效性，并对提出的CoMP-NOMA模型包括JT-CoMP-NOMA和协调调度CoMP-NOMA（CS-CoMP-NOMA）进行了数值性能评价。结果表明，与传统的正交多址系统相比，该系统在频谱效率和能量效率方面有显著的提高。
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英文标题：
《Downlink Power Allocation for CoMP-NOMA in Multi-Cell Networks》
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作者：
Md Shipon Ali, Ekram Hossain, Arafat Al-Dweik, and Dong In Kim
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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 work considers the problem of dynamic power allocation in the downlink of multi-cell networks, where each cell utilizes non-orthogonal multiple access (NOMA)-based resource allocation. Also, coordinated multi-point (CoMP) transmission is utilized among multiple cells to serve users experiencing severe inter-cell interference (ICI). More specifically, we consider a two-tier heterogeneous network (HetNet) consisting of a high-power macro cell underlaid with multiple low-power small cells each of which uses the same resource block. Under this {\em CoMP-NOMA framework}, CoMP transmission is applied to a user experiencing high channel gain with multiple base stations (BSs)/cells, while NOMA is utilized to schedule CoMP and non-CoMP users over the same transmission resources, i.e., time, spectrum and space. Different CoMP-NOMA models are discussed, but focus is primarily on the joint transmission CoMP-NOMA (JT-CoMP-NOMA) model. For the JT-CoMP-NOMA model, an optimal joint power allocation problem is formulated and the solution is derived for each CoMP-set consisting of multiple cooperating BSs (i.e., CoMP BSs). To overcome the substantial computational complexity of the joint power optimization approach, we propose a distributed power optimization problem at each cooperating BS whose optimal solution is independent of the solution of other coordinating BSs. The validity of the distributed solution for the joint power optimization problem is provided and numerical performance evaluation is carried out for the proposed CoMP-NOMA models including JT-CoMP-NOMA and coordinated scheduling CoMP-NOMA (CS-CoMP-NOMA). The obtained results reveal significant gains in spectral and energy efficiency in comparison with conventional CoMP-orthogonal multiple access (CoMP-OMA) systems.
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PDF链接：
https://arxiv.org/pdf/1801.04981