期刊论文详细信息
EURASIP Journal on Wireless Communications and Networking
Optimization of unmanned aerial vehicle augmented ultra-dense networks
Alireza Zamani1  Robert Kämmer1  Anke Schmeink1  Yulin Hu2 
[1] ISEK Research Group, RWTH Aachen University, Kopernikusstr. 16, 52074, Aachen, Germany;Informationstheorie und Systematischer Entwurf von Kommunikationssystemen, RWTH Aachen University, Kopernikusstr. 16, 52074, Aachen, Germany;
关键词: Ultra-dense cellular networks;    Unmanned aerial vehicle small cells;    Resource allocation;    User association;    UAV placement;   
DOI  :  10.1186/s13638-020-01804-3
来源: Springer
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【 摘 要 】

In this paper, we study the integration of unmanned aerial vehicle small cells (UAV-SCs) for the purpose of augmenting or temporarily restoring service to an ultra-dense cellular network. The aim is to minimize the overall power consumption of the network by jointly optimizing the number of UAV-SCs, their placement, associations, and the power allocation, subject to user QoS (quality of service), transmit power, and fronthaul capacity constraints. As the resulting optimization problem is non-convex and computationally inefficient to solve, we investigate lower complexity alternatives. By reformulating the original problem, a linear structure can be obtained that is efficiently solved by off-the-shelf solvers. Furthermore, we also propose a meta-heuristic method that is based on particle swarm optimization. The performance of the proposed methods is evaluated via simulation studies and compared to state-of-the-art techniques. The results illustrate that the proposed methods consistently outperform conventional techniques by deploying fewer UAV-SCs and also lowering the transmit powers. Furthermore, considerable power savings were observed particularly for low QoS demands and dense scenarios.

【 授权许可】

CC BY   

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