Joint optimization algorithm of user association and power control based on spatial traffic distribution,Transactions on Emerging Telecommunications Technologies

当前位置： X-MOL 学术 › Trans. Emerg. Telecommun. Technol. › 论文详情

Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)

Joint optimization algorithm of user association and power control based on spatial traffic distribution
Transactions on Emerging Telecommunications Technologies ( IF 2.5 ) Pub Date : 2022-07-19 , DOI: 10.1002/ett.4608
Weipeng Wang ₁ , Jihong Zhao _{1,

2} , Hua Qu ₁ , Yanpeng Zhang ₁ , Gongye Ren ₃

Affiliation

5G networks must reduce network overhead while meeting user needs. Based on the flow model, this paper jointly optimizes the user association and power control in cellular networks, aiming at achieving a reasonable compromise between user delay and network energy consumption. Unlike previous snapshot models, flow models focus on the spatial distribution of traffic demand instead of the specific location of users. We consider a nonuniformity of spatial traffic distribution and load coupling among base stations (BSs). Firstly, an iterative algorithm is proposed to solve the optimal user association strategy under certain power of BSs. Then, a greedy power adjustment and user association algorithm (GPA-UA) is proposed to further optimize the objective function. The simulation results show that the proposed algorithm can reduce both user delay and network energy consumption in most cases, and the performance of the proposed algorithm is approximate to the Optimal scheme while GPA-UA has lower complexity.

中文翻译：

基于空间流量分布的用户关联与功率控制联合优化算法

5G网络必须在满足用户需求的同时降低网络开销。本文基于流模型，联合优化蜂窝网络中的用户关联和功率控制，旨在实现用户延迟和网络能量消耗之间的合理折衷。与以往的快照模型不同，流量模型关注的是交通需求的空间分布，而不是用户的具体位置。我们考虑了基站 (BS) 之间空间流量分布和负载耦合的不均匀性。首先，提出了一种迭代算法来求解一定基站功率下的最优用户关联策略。然后，提出了一种贪婪的功率调整和用户关联算法（GPA-UA）来进一步优化目标函数。

更新日期：2022-07-19

点击分享查看原文

点击收藏

阅读更多本刊最新论文本刊介绍/投稿指南11