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Efficient Resource Allocation in UAV-BS Dual Connectivity Heterogeneous Networks

机译：UAV-BS双连接异构网络的高效资源分配

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摘要

In this paper, a UAV-BS dual connectivity system in downlink wireless networks is studied. In the considered system model, it combines the high mobility of unmanned aerial vehicles (UAVs) and dual connectivity (DC) to provide users with higher data rates and ubiquitous communication services in dense users scenarios such as large concert scenes. UAVs and base stations (BSs) provide services for users simultaneously. We formulate a joint access point selection and power allocation problem to maximize the system throughput. However, the problem is a mixed integer nonlinear programming (MINLP) problem, and obtaining the optimal solution to the problem is computationally hard. Therefore, two types of access points decision-making methods and an improved genetic algorithm (GA) are proposed to solve the complicated problem. The simulation results show that the proposed algorithm has good convergence and has better performance gain compared with others.
机译：本文研究了下行链路无线网络中的UAV-BS双连接系统。在考虑的系统模型中，它结合了无人驾驶飞行器（UAV）和双连接（DC）的高移动性，为用户提供更高的数据速率和密集用户方案中的普遍通信服务，如大音乐场景。 UAVS和基站（BSS）同时为用户提供服务。我们制定联合访问点选择和功率分配问题，以最大限度地提高系统吞吐量。然而，问题是混合整数非线性编程（MINLP）问题，并获得对问题的最佳解决方案是计算的。因此，提出了两种类型的接入点决策方法和改进的遗传算法（GA）来解决复杂的问题。仿真结果表明，该算法具有良好的收敛性，与他人相比具有更好的性能增益。

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