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

定位的能力可以提供便利，使许多新的应用，甚至可能意味着生与死的安全关键应用，如E-911。虽然诸如全球定位系统（GPS）的全球卫星系统在晴朗的天空条件下提供准确的室外定位，但是由于较低的信号强度或者甚至完全的信号阻塞，它们在室内、城市峡谷中或者在树冠下表现不佳。在这样的场景中，设备必须依赖于地面无线通信网络（主要是蜂窝和/或WiFi网络）来进行定位。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，由于毫米波信号表现出与传统蜂窝网络中使用的低频信号根本不同的特性，因此当前网络中使用的定位算法在5G中可能无效。由于5G系统设计的重点一直放在通信上，因此毫米波本地化并没有受到太多关注。为了满足这一迫切需求，该项目通过融合传播科学、定位理论、随机几何和系统级仿真等不同领域的思想，开发了第一个全面的多学科方法来定位毫米波蜂窝网络。它还将开发一个首个开源的毫米波定位模拟器，该模拟器将所有研究成果以一种易于被研究界采用的形式结合在一起。通过教育、研究传播、行业合作和扩大学生的参与，将产生更广泛的影响。该奖项反映了NSF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.