毫米波网络中的多用户波束对准

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摘要翻译：
毫米波通信是下一代蜂窝无线系统中最有前途的技术，与亚6 GHz网络相比，毫米波通信具有更大的带宽。然而，在这些频率下的通信需要通过massive MIMO和波束形成来克服信号的强衰减，从而需要在发射机和接收机之间进行精确的波束对准。由此产生的信令开销可能成为严重的损害，特别是在具有高用户密度的移动网络中。因此，优化波束对准协议以最小化信令开销势在必行。在模拟波束形成约束条件下，针对两个用户，设计了一种能量有效的联合波束对准协议，其目标是最小化数据传输过程中的功率消耗，同时满足两个用户的速率约束。证明了一种二分搜索算法是最优的。另外，根据时分复用方案，基于波束对准的结果优化数据通信阶段中两个用户的最优调度策略。数值结果表明，与穷举搜索和针对每个用户单独进行的单用户波束对准方案相比，所提出的联合波束对准方案的功耗显著降低。
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英文标题：
《Multi-user Beam-Alignment for Millimeter-Wave Networks》
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作者：
Rana A. Hassan, Nicolo Michelusi
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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：
  Millimeter-wave communications is the most promising technology for next-generation cellular wireless systems, thanks to the large bandwidth available compared to sub-6 GHz networks. Nevertheless, communication at these frequencies requires narrow beams via massive MIMO and beamforming to overcome the strong signal attenuation, and thus precise beam-alignment between transmitter and receiver is needed. The resulting signaling overhead may become a severe impairment, especially in mobile networks with high users density. Therefore, it is imperative to optimize the beam-alignment protocol to minimize the signaling overhead. In this paper, the design of energy efficient joint beam-alignment protocols for two users is addressed, with the goal to minimize the power consumption during data transmission, subject to rate constraints for both users, under analog beamforming constraints. It is proved that a bisection search algorithm is optimal. Additionally, the optimal scheduling strategy of the two users in the data communication phase is optimized based on the outcome of beam-alignment, according to a time division multiplexing scheme. The numerical results show significant decrease in the power consumption for the proposed joint beam-alignment scheme compared to exhaustive search and a single-user beam-alignment scheme taking place separately for each user.
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PDF链接：
https://arxiv.org/pdf/1802.06148

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关键词：毫米波 Applications Optimization Transmission Application 速率 协议 Millimeter 进行 需要