首页|Joint position optimization,user association,and resource allocation for load balancing in UAV-assisted wireless networks

Joint position optimization,user association,and resource allocation for load balancing in UAV-assisted wireless networks

扫码查看
原文链接
  • NETL
  • NSTL
  • 万方数据
Unbalanced traffic distribution in cellular networks results in congestion and degrades spectrum efficiency.To tackle this problem,we propose an Unmanned Aerial Vehicle(UAV)-assisted wireless network in which the UAV acts as an aerial relay to divert some traffic from the overloaded cell to its adjacent underloaded cell.To fully exploit its potential,we jointly optimize the UAV position,user association,spectrum allocation,and power allocation to maximize the sum-log-rate of all users in two adjacent cells.To tackle the complicated joint opti-mization problem,we first design a genetic-based algorithm to optimize the UAV position.Then,we simplify the problem by theoretical analysis and devise a low-complexity algorithm according to the branch-and-bound method,so as to obtain the optimal user association and spectrum allocation schemes.We further propose an iterative power allocation algorithm based on the sequential convex approximation theory.The simulation results indicate that the proposed UAV-assisted wireless network is superior to the terrestrial network in both utility and throughput,and the proposed algorithms can substantially improve the network performance in comparison with the other schemes.

Load balanceUnmanned aerial vehicleUser associationResource management

Daosen Zhai、Huan Li、Xiao Tang、Ruonan Zhang、Haotong Cao

展开 >

School of Electronics and Information,Northwestern Polytechnical University,Xi'an,710072,China

State Key Laboratory of Integrated Services Networks,Xidian University,Xi'an,710071,China

Department of Computing,Hong Kong Polyytechnic University,Hong Kong SAR,China

国家重点研发计划国家自然科学基金国家自然科学基金国家自然科学基金航空科学基金Foundation of the State Key Laboratory of Integrated Services Networks of Xidian UniversityKey Research Program and Industrial Innovation Chain Project of Shaanxi ProvinceNatural Science Fundamental Research Program of Shaanxi Province

2020YFB18070036190138162171385619013782020Z073053004ISN21-062019ZDLGY07-102021JM-069

2024

10.1016/j.dcan.2022.03.011

数字通信与网络(英文)

数字通信与网络(英文)

ISSN：
年,卷(期)：2024.10(1)
  • 43