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

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。

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.