Non-Orthogonal Multiple Access for UAV-Aided Heterogeneous Networks: A Stochastic Geometry Model
Cunzhuo Zhao, Yuanwei Liu (Senior Member, IEEE), Yunlong Cai (Senior, Member, IEEE), Minjian Zhao (Member, IEEE), and Zhiguo Ding (Fellow, IEEE)

TL;DR
This paper models UAV-aided heterogeneous networks using stochastic geometry, demonstrating that NOMA improves performance over OMA, with insights into association, coverage, and spectrum efficiency influenced by various parameters.
Contribution
It introduces a stochastic geometry model for UAV-assisted HetNets with NOMA, providing analytical expressions and performance insights under realistic channel conditions.
Findings
NOMA-enabled HetNets outperform OMA in spectrum efficiency.
Tradeoff exists between association probabilities and spectrum efficiency.
Coverage and spectrum efficiency are affected by ipSIC, power allocation, and SINR thresholds.
Abstract
In this work, we explore the potential benefits of deploying unmanned aerial vehicles (UAVs) as aerial base stations (ABSs) with sub-6GHz band and small cells terrestrial base stations (TBSs) with millimeter wave (mmWave) band in a hybrid heterogeneous networks (HetNets). A flexible non-orthogonal multiple access (NOMA) based user association policy is proposed. By using the tools from stochastic geometry, new analytical expressions for association probability, coverage probability and spectrum efficiency are derived for characterizing the performance of UAV-aided HetNets under the realistic Air-to-Ground (A2G) channels and the Ground-to-Ground (G2G) channels with a LoS ball blockage model. Finally, we provide insights on the proposed hybrid HetNets by numerical results. We confirm that i) the proposed NOMA enabled HetNets is capable of achieving superior performance compared with the…
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Taxonomy
TopicsUAV Applications and Optimization · Advanced Wireless Communication Technologies · Millimeter-Wave Propagation and Modeling
