Collaborative Research: CNS Core: Medium: Localization in Millimeter Wave Cellular Networks: Fundamentals, Algorithms, and Measurement-inspired Simulator

合作研究： CNS 核心：媒介：毫米波蜂窝网络的本地化：基础知识、算法和测量启发的模拟器

• 批准号: 2106602
• 负责人: Andreas Molisch
• 金额: $ 36.5万
• 依托单位: University of Southern California
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2021
• 资助国家: 美国
• 起止时间: 2021-10-01 至 2025-09-30
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2106602&HistoricalAwards=false
• 关键词: Collaborative; Research; CNS; Core; Medium

The ability to find one's location can provide convenience, enable many new applications, and may even mean the difference between life and death in safety-critical applications such as E-911. While global satellite systems, such as the Global Positioning System (GPS), provide accurate outdoor positioning under clear sky conditions, they do not perform well indoors, in urban canyons, or under tree canopies, due to the lower signal strength or even total signal blockage. In such scenarios, devices have to rely on the terrestrial wireless communications networks, primarily cellular and/or WiFi networks, for positioning. The new 5G standard has enabled utilizing vast spectrum in the millimeter wave (mmWave) range for communications, and its large bandwidth promises high location accuracy. However, since mmWave signals exhibit fundamentally different properties than the lower frequency signals used in the traditional cellular networks, localization algorithms used in the current networks may not be effective in 5G. Since the emphasis of 5G system design has been on communications, mmWave localization has not received as much attention. Responding to this urgent need, this project develops the first comprehensive and multi-disciplinary approach to localization in mmWave cellular networks by merging ideas from diverse areas such as propagation science, localization theory, stochastic geometry, and system-level simulations. It will also develop a first-of-its-kind open-source mmWave localization simulator that combines all research contributions in a form that can be easily adopted by the research community. Further broader impacts will be through education, research dissemination, industry collaboration, and broadening participation of students.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

查找位置的能力可以提供便利，启用许多新应用程序，甚至可能意味着在E-911等安全关键应用程序中生死攸关。虽然全球卫星系统，如全球定位系统（GPS），在晴朗的天空条件下提供准确的室外定位，但由于信号强度较低甚至完全被阻塞，它们在室内、城市峡谷或树冠下的表现不佳。在这种情况下，设备必须依靠地面无线通信网络，主要是蜂窝和/或WiFi网络来定位。新的5G标准可以利用毫米波（mmWave）范围内的大量频谱进行通信，其大带宽保证了高定位精度。然而，由于毫米波信号与传统蜂窝网络中使用的低频信号具有根本不同的特性，因此当前网络中使用的定位算法在5G中可能无效。由于5G系统设计的重点是通信，因此毫米波定位没有受到那么多的关注。为响应这一迫切需求，该项目通过融合传播科学、定位理论、随机几何和系统级模拟等不同领域的思想，开发了首个毫米波蜂窝网络定位的综合多学科方法。它还将开发首个开源毫米波定位模拟器，该模拟器将所有研究成果结合在一起，可以很容易地被研究社区采用。更广泛的影响将通过教育、研究传播、行业合作和扩大学生的参与来实现。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

项目成果

Line-of-Sight Probability in Cluttered Urban Microcells: Analyses Using Poisson Point Process and Point Cloud

• DOI: 10.1109/tap.2021.3119116
• 发表时间: 2022-03-01
• 期刊: IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
• 影响因子: 5.7
• 作者: Koivumaki, Pasi;Molisch, Andreas F.;Haneda, Katsuyuki
• 通讯作者: Haneda, Katsuyuki

Impact of Blockers on User Equipment Angular Diversity in THz Microcellular Scenarios

• DOI: 10.1109/icc45041.2023.10279799
• 发表时间: 2023-05
• 期刊: ICC 2023 - IEEE International Conference on Communications
• 作者: Jorge Gómez-Ponce;Naveed A. Abbasi;S. Abu-Surra;Gary Xu;Charlie Zhang;A. Molisch

Analysis of the Multipath Effect of Human Presence on Indoor 60 GHz Wireless Channels

室内 60 GHz 无线信道上人体存在的多径效应分析

• 发表时间: 2023
• 期刊: IEEE International Conference on Communications
• 作者: Modad, Bassel Abou;Cassioli, Dajana;Molisch, Andreas F.
• 通讯作者: Molisch, Andreas F.

A High-resolution Parameter Extraction Algorithm for Multiple Clusters Channels

一种多簇通道高分辨率参数提取算法

• 发表时间: 2022
• 期刊: IEEE SPAWC 2022
• 作者: Zihang Cheng∗, Jorge Gomez-Ponce∗†