Optimal Resource Allocation in Ground Wireless Networks Supporting Unmanned Aerial Vehicle Transmissions
Yulin Hu, Guodong Sun, Guohua Zhang, M. Cenk Gursoy, and Anke Schmeink

TL;DR
This paper investigates optimal resource allocation in ground wireless networks supporting UAV transmissions, comparing NOMA and relaying schemes under infinite and finite blocklength codes to maximize UAV throughput while ensuring user performance.
Contribution
It introduces a comprehensive analysis of IBL and FBL throughput for UAV and ground users, proposing optimal resource allocation strategies and comparing NOMA and relaying schemes.
Findings
Relaying improves UAV and ground user performance simultaneously.
Relaying offers higher UAV throughput in FBL than in IBL regimes.
NOMA achieves higher UAV throughput with slight ground user performance sacrifice.
Abstract
We consider a fully-loaded ground wireless network supporting unmanned aerial vehicle (UAV) transmission services. To enable the overload transmissions to a ground user (GU) and a UAV, two transmission schemes are employed, namely non-orthogonal multiple access (NOMA) and relaying, depending on whether or not the GU and UAV are served simultaneously. Under the assumption of the system operating with infinite blocklength (IBL) codes, the IBL throughputs of both the GU and the UAV are derived under the two schemes. More importantly, we also consider the scenario in which data packets are transmitted via finite blocklength (FBL) codes, i.e., data transmission to both the UAV and the GU is performed under low-latency and high reliability constraints. In this setting, the FBL throughputs are characterized again considering the two schemes of NOMA and relaying. Following the IBL and FBL…
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Taxonomy
TopicsUAV Applications and Optimization · Advanced Wireless Communication Technologies · Cooperative Communication and Network Coding
