Circuits and Systems Design for UAV Swarm Enabled Communications

无人机群通信的电路和系统设计

• 批准号: 1929874
• 负责人: Danijela Cabric
• 金额: $ 45万
• 依托单位: University of California-Los Angeles
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2019
• 资助国家: 美国
• 起止时间: 2019-09-01 至 2024-08-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1929874&HistoricalAwards=false
• 关键词: Circuits; Systems; Design; UAV; Swarm

Unmanned aerial vehicles (UAVs) have been recently proposed as a solution for mobile wireless infrastructure. Majority of research on UAV-based communications considers either a single UAV or multiple UAVs as independent entities. This project aims to explore the benefits of utilizing multiple coordinated UAVs, also known as the UAV Swarm, within the emerging fog radio access networks (Fog-RAN). By leveraging the mobility of UAVs with on-board radios and processor, and the distributed processing within the swarm, the proposed system aims to enable various on-demand applications of internet-of-things (IoT) and multiple-input multiple-output (MIMO) wireless access with improved energy efficiency and spectral efficiency. Due to its ease of deployment, the UAV swarm assisted Fog-RAN can serve underprivileged communities and accommodate fluctuations in capacity demands during emergency or other event-driven applications.This project addresses a set of unique challenges in circuits and systems arising in UAV swarm communications: i) swarm array synchronization and backhaul, ii) distributed processing on the edge devices, and iii) UAV swarm placement for optimized link budget and distributed MIMO channel capacity. Two different swarm systems will be explored: 1) weakly coordinated swarm with light swarm synchronization and simple coordination protocol, and 2) strongly coordinated swarm that requires tight synchronization and distributed array processing. For weakly coordinated swarm, low-complexity synchronization and coordination algorithms, low-power RF circuits and baseband processing, with only a single antenna in each radio, will be designed. For strongly coordinated swarm, a hybrid RF and base-band processing for frequency, phase, and time synchronization, and novel array signal processing for distributed MIMO combining within UAV swarm, will be designed to enable coherent transmission. The framework for UAV swarm placement to achieve optimal capacity and range will be developed and analyzed for robustness against channel, location, and actuation uncertainties. A proof-of-concept prototype using off-the-shelf UAVs and a radio testbed with customized RF components will be built and tested in the air.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.

无人驾驶飞行器（UAV）最近被提出作为移动的无线基础设施的解决方案。大多数关于无人机通信的研究都将单个无人机或多个无人机视为独立实体。该项目旨在探索在新兴的雾无线电接入网络（Fog-RAN）中利用多个协调的无人机（也称为无人机群）的好处。通过利用具有机载无线电和处理器的无人机的移动性以及群内的分布式处理，所提出的系统旨在实现物联网（IoT）和多输入多输出（MIMO）无线接入的各种按需应用，并提高能量效率和频谱效率。由于其易于部署，无人机群辅助Fog-RAN可以为贫困社区提供服务，并在紧急情况或其他事件驱动的应用中适应容量需求的波动。该项目解决了无人机群通信中出现的电路和系统的一系列独特挑战：i）群阵列同步和回程，ii）边缘设备上的分布式处理，以及iii）UAV群布局，用于优化链路预算和分布式MIMO信道容量。将探讨两种不同的群系统：1）弱协调群与轻群同步和简单的协调协议，和2）强协调群，需要紧密同步和分布式阵列处理。对于弱协调群，将设计低复杂度的同步和协调算法、低功耗RF电路和基带处理，每个无线电中只有一个天线。对于强协调群，混合RF和基带处理的频率，相位和时间同步，和新的阵列信号处理的分布式MIMO组合在无人机群内，将被设计为使相干传输。无人机群布局的框架，以实现最佳的容量和范围将开发和分析的鲁棒性对信道，位置和驱动的不确定性。该项目将建造一个使用现成无人机的概念验证原型和一个带有定制射频组件的无线电测试平台，并在空中进行测试。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。

项目成果

Distributed Transmit Beamforming: Analyzing the Maximum Communication Range

分布式发射波束成形：分析最大通信范围

• 发表时间: 2022
• 期刊: International Conference on Security and Management
• 作者: Samer S. Hanna;D. Cabric
• 通讯作者: D. Cabric

UAV Swarm Position Optimization for High Capacity MIMO Backhaul

• DOI: 10.1109/jsac.2021.3088677
• 发表时间: 2021-10-01
• 期刊: IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
• 影响因子: 16.4
• 作者: Hanna, Samer;Krijestorac, Enes;Cabric, Danijela
• 通讯作者: Cabric, Danijela

UAV Access Point Placement for Connectivity to a User with Unknown Location Using Deep RL

• DOI: 10.1109/gcwkshps45667.2019.9024644
• 发表时间: 2019-07
• 期刊: 2019 IEEE Globecom Workshops (GC Wkshps)
• 作者: Enes Krijestorac;Samer S. Hanna;D. Cabric

Distributed UAV Swarm Placement Optimization for Compressive Sensing based Target Localization

基于压缩感知的目标定位分布式无人机群布局优化

• DOI: 10.1109/icnc57223.2023.10074263
• 发表时间: 2023
• 期刊: Networking and Communications (ICNC
• 作者: Wang, Yen-Chin;Cabric, Danijela
• 通讯作者: Cabric, Danijela

Destination-Feedback Free Distributed Transmit Beamforming Using Guided Directionality

• DOI: 10.1109/tmc.2022.3188602
• 发表时间: 2021-08
• 期刊: IEEE Transactions on Mobile Computing
• 影响因子: 7.9
• 作者: Samer S. Hanna;Enes Krijestorac;D. Cabric