计算机科学
基站
回程(电信)
最大化
最优化问题
职位(财务)
无线网络
无线
数学优化
计算机网络
算法
电信
数学
财务
经济
作者
Ye Jiang,Zihan Zhou,Jiajia Zhang,Chao Qin,Wendy Tang,Zhenhua Cai,Daosen Zhai,Ruonan Zhang
出处
期刊:IEEE Wireless Communications Letters
[Institute of Electrical and Electronics Engineers]
日期:2023-12-01
卷期号:12 (12): 2113-2117
标识
DOI:10.1109/lwc.2023.3308990
摘要
How to extend the coverage area is vital for the six-generation mobile communication system (6G). In this paper, we consider a three-tier air-and-ground cooperative network, where some low-altitude relays (LRLs) are deployed to enhance the local coverage of the terrestrial base stations (TBSs) and some high-altitude base stations (HBSs) hover over the region to make up for the wide area coverage hole. To maximize the effective coverage user number, we formulate a joint LRL-position and HBS-trajectory optimization problem by considering the backhaul constraint of the LRLs and the dynamic feature of the HBSs. For the LRL-position optimization, we first remodel it as a maximum weighted independent set problem and then propose a graph-based algorithm to solve it. Furthermore, we combine the bionic algorithms with the deep neural network to devise an effective bionic-learning algorithm, which can quickly solve the complex HBS-trajectory optimization problem. Finally, simulation results demonstrate that our proposed algorithms can significantly improve the network coverage performance and reduce the computational complexity compared with the traditional optimization algorithms.
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