Aerial Access and Backhaul in mmWave B5G Systems: Performance Dynamics and Optimization
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Abstract (arXiv)
The use of unmanned aerial vehicle (UAV)-based communication in millimeter-wave (mmWave) frequencies to provide on-demand radio access is a promising approach to improve capacity and coverage in beyond-5G (B5G) systems. There are several design aspects to be addressed when optimizing for the deployment of such UAV base stations. As traffic demand of mobile users varies across time and space, dynamic algorithms that correspondingly adjust the UAV locations are essential to maximize performance. In addition to careful tracking of spatio-temporal user/traffic activity, such optimization needs to account for realistic backhaul constraints. In this work, we first review the latest 3GPP activities behind integrated access and backhaul system design, support for UAV base stations, and mmWave radio relaying functionality. We then compare static and mobile UAV-based communication options under practical assumptions on the mmWave system layout, mobility and clusterization of users, antenna array geometry, and dynamic backhauling. We demonstrate that leveraging the UAV mobility to serve moving users may improve the overall system performance even in the presence of backhaul capacity limitations.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 4 Nov 2019.
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Citing papers per year: 2021: 2; 2022: 1.
3 papers.
- 2021On Topology Optimization and Routing in Integrated Access and Backhaul Networks: A Genetic Algorithm-based Approachcited by 4
- 2021Autonomous Navigation and Configuration of Integrated Access Backhauling for UAV Base Station Using Reinforcement Learningcited by 1
- 20225G Network on Wings: A Deep Reinforcement Learning Approach to the UAV-based Integrated Access and Backhaulcited by 0
- 20225G Network on Wings: A Deep Reinforcement Learning Approach to the UAV-based Integrated Access and Backhaul4 Feb 2022
- 2021Autonomous Navigation and Configuration of Integrated Access Backhauling for UAV Base Station Using Reinforcement Learning14 Dec 2021
- 2021On Topology Optimization and Routing in Integrated Access and Backhaul Networks: A Genetic Algorithm-based Approach14 Feb 2021