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NeTS: Small: Location, Location, Location: Maximizing Network Performance in the mmWave Era

NeTS：小型：位置、位置、位置：最大化毫米波时代的网络性能

基本信息

批准号：
1813242
负责人：
Douglas Blough
金额：
$ 50万
依托单位：
Georgia Tech Research Corporation
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2018
资助国家：
美国
起止时间：
2018-10-01 至 2022-09-30
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1813242&HistoricalAwards=false
关键词：
NeTS Small Location Maximizing Network

项目摘要

Next-generation wireless networks will rely heavily on millimeter-wave (mmWave) communications, which take place in frequency bands of 28 to 300 GHz, in contrast with current networks that operate in bands below 10 GHz. mmWave communications achieve multi-gigabit per second data rates and low latencies under ideal conditions, meaning they could support emerging applications such as wireless virtual reality and intelligent real-time traffic control. However, mmWave signals degrade more rapidly with distance than lower-frequency signals, particularly in poor weather conditions, and the signals cannot propagate through obstacles such as walls and even human bodies. These characteristics can result in dramatically different performance when the position of the sender or receiver of a mmWave communication is changed by only a few feet. This research seeks to address this limitation by designing wireless networks that adapt to changing conditions to maintain necessary levels of performance. The project envisions networks that employ components which are not fixed like today's access points and cellular base stations but rather have a modest amount of mobility and can dynamically configure themselves to optimize performance depending on the locations of the current users and environmental constraints. The research seeks to both demonstrate and quantify the benefits that optimizing location of network components has on the performance of these next-generation networks. The project is also working with Georgia Tech's CREATE-X entrepreneurship program, which fosters student-driven start-up activities, to facilitate technology transfer.This project investigates how the location sensitivity of mmWave communications can be exploited, both at network design time and during network operation, to improve performance. Two techniques are considered for optimizing location in mmWave networks, mobility and relay nodes. In case no suitable communication path exists, nodes can reposition themselves to establish communication if they have that capability or they can make use of strategically placed relay nodes to help them communicate. For two specific scenarios, namely wireless backhaul and indoor access, the project investigates ways in which these two techniques can be used by themselves and in combination to optimize performance. Problems studied will include the design, optimization, characterization, and control of mmWave backhaul networks employing relay nodes; analysis of reconfigurability and design and evaluation of relay reconfiguration protocols for mmWave backhaul networks; and design, evaluation, and optimization of systems of self-positioning indoor mmWave access points and relays. The problems will be studied using algorithm design and analysis techniques, analytical and numerical evaluation, network simulation, and prototyping.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.

下一代无线网络将严重依赖毫米波(MmWave)通信，这种通信发生在28到300 GHz的频段，而不是目前在10 GHz以下运行的网络。毫米波通信在理想条件下实现了每秒几千兆位的数据速率和低延迟，这意味着它们可以支持无线虚拟现实和智能实时交通控制等新兴应用。然而，毫米波信号随着距离的变化比低频信号衰减得更快，特别是在恶劣的天气条件下，而且信号无法通过墙壁甚至人体等障碍物传播。当毫米波通信的发送方或接收方的位置仅改变几英尺时，这些特征可以导致显著不同的性能。这项研究试图通过设计适应不断变化的条件以保持必要的性能水平的无线网络来解决这一限制。该项目设想的网络使用的组件不是固定的，如今天的接入点和蜂窝基站，而是具有适度的移动性，并可以根据当前用户的位置和环境限制动态配置自己以优化性能。该研究旨在展示和量化优化网络组件位置对这些下一代网络性能的好处。该项目还与佐治亚理工学院的Create-X创业计划合作，该计划促进了学生主导的创业活动，以促进技术转让。该项目调查了如何在网络设计时和网络运行期间利用毫米波通信的位置敏感性来提高性能。考虑了两种技术来优化毫米波网络中的位置：移动性和中继节点。在不存在合适的通信路径的情况下，节点可以重新定位自己以建立通信，如果它们具有该能力，或者它们可以利用战略性地布置的中继节点来帮助它们通信。对于两种特定场景，即无线回程和室内接入，该项目研究了这两种技术如何单独使用并结合使用以优化性能。所研究的问题将包括使用中继节点的毫米波回程网络的设计、优化、表征和控制；毫米波回程网络的可重构性分析和中继重配置协议的设计和评估；以及自我定位室内毫米波接入点和中继器系统的设计、评估和优化。这些问题将使用算法设计和分析技术、分析和数值评估、网络模拟和原型来研究。该奖项反映了NSF的法定使命，并通过使用基金会的智力优势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

期刊论文数量（28）

专著数量（0）

科研奖励数量（0）

会议论文数量（0）

专利数量（0）

Exploring Performance Limits on Proactive Fair Scheduling for mmWave WLANs

DOI：
10.1109/lanman54755.2022.9820446
发表时间：
2022-07
期刊：
2022 IEEE International Symposium on Local and Metropolitan Area Networks (LANMAN)
影响因子：
0
作者：
Ang Deng;Yuchen Liu;D. Blough
通讯作者：
Ang Deng;Yuchen Liu;D. Blough

On the Feasibility of High Throughput mmWave Backhaul Networks in Urban Areas

城市地区高吞吐量毫米波回程网络的可行性

DOI：
10.1109/icnc47757.2020.9049824
发表时间：
2020
期刊：
Networking and Communications
影响因子：
0
作者：
Hu, Qiang;Blough, Douglas M.
通讯作者：
Blough, Douglas M.

Maximizing Line-of-Sight Coverage for mmWave Wireless LANs With Multiple Access Points

DOI：
10.1109/tnet.2021.3122378
发表时间：
2022-04
期刊：
IEEE/ACM Transactions on Networking
影响因子：
0
作者：
Yuchen Liu;Yubing Jian;Raghupathy Sivakumar;D. Blough
通讯作者：
Yuchen Liu;Yubing Jian;Raghupathy Sivakumar;D. Blough

Optimal Access Point Placement for Multi-AP mmWave WLANs

DOI：
10.1145/3345768.3355914
发表时间：
2019-11
期刊：
Proceedings of the 22nd International ACM Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems
影响因子：
0
作者：
Yuchen Liu;Yubing Jian;Raghupathy Sivakumar;D. Blough
通讯作者：
Yuchen Liu;Yubing Jian;Raghupathy Sivakumar;D. Blough

Optimizing Coverage with Intelligent Surfaces for Indoor mmWave Networks