Placement Optimization for UAV-Enabled Wireless Networks with Multi-Hop Backhaul
Peiming Li, Jie Xu

TL;DR
This paper proposes a placement and resource allocation strategy for UAV-enabled wireless networks with multi-hop backhaul, aiming to maximize the minimum user throughput while considering practical backhaul constraints.
Contribution
It introduces a joint optimization framework for UAV placement, bandwidth, and power allocation in multi-hop backhaul scenarios, addressing a non-convex problem with a locally optimal solution.
Findings
Proposed method significantly improves user throughput.
Joint optimization outperforms benchmark schemes.
Effective handling of multi-hop backhaul constraints.
Abstract
Unmanned aerial vehicles (UAVs) have emerged as a promising solution to provide wireless data access for ground users in various applications (e.g., in emergence situations). This paper considers a UAV-enabled wireless network, in which multiple UAVs are deployed as aerial base stations (BSs) to serve users distributed on the ground. Different from prior works that ignore UAV's backhaul connections, we practically consider that these UAVs are connected to the core network through a ground gateway node via rate-limited multi-hop wireless backhauls. We also consider that the air-to-ground (A2G) access links from UAVs to users and the air-to-air (A2A) backhaul links among UAVs are operated over orthogonal frequency bands. Under this setup, we aim to maximize the common (or minimum) throughput among all the ground users in the downlink of this network subject to the flow conservation…
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