异构超密度网络中联合资源划分和卸载分析

doi:10.16182/j.issn1004731x.joss.17-0298

系统仿真学报 ›› 2019, Vol. 31 ›› Issue (8): 1653-1663.doi: 10.16182/j.issn1004731x.joss.17-0298

异构超密度网络中联合资源划分和卸载分析

甄岩^1,2, 史江盼¹, 刘乔寿¹

1. 光通信与网络重点实验室,重庆邮电大学,重庆 400065;
2. 国网信息通信产业集团有限公司,北京 102200

收稿日期:2017-06-29 修回日期:2017-08-16 发布日期:2019-12-12
作者简介:甄岩(1982-),男,北京,博士,高工,研究方向为电力物联网研发等。
基金资助:
国家自然科学基金(61371097),重庆市教委科学技术研究项目(KJ1704095),重庆高校创新团队建设计划资助项目(CXTDX201601020)

Joint Resource Partitioning and Offloading Analysis in Heterogeneous Ultra-Dense Networks

Zhen Yan^1,2, Shi Jiangpan¹, Liu Qiaoshou¹

1. Key Laboratory of Optical Communication and Networks, Chongqing University of Posts and Telecommunications, Chongqing 400065, China;
2. State Grid Information & Telecommunication Co. Ltd, Beijing 102200, China;

Received:2017-06-29 Revised:2017-08-16 Published:2019-12-12

摘要/Abstract

摘要： 针对异构超密度网络中宏基站和小基站之间负载不均衡问题,提出了一种基于用户与最近基站间距离的通用卸载框架。通过划分网络频谱资源,并利用随机几何,在保证被卸载宏用户服务质量的基础上,进一步推导出处于固定区域以及处于随机区域用户的覆盖概率和平均遍历速率表达式。仿真结果表明,采用资源划分与卸载相结合的方法在有效缓解宏基站拥塞的同时也提高了用户的覆盖概率和平均遍历速率,进而为实际网络的部署提供了重要理论依据。

关键词: 超密度网络, 随机几何, 负载均衡, 资源划分

Abstract: For the problem of load balancing between macro base station and small base station in heterogeneous ultra-dense networks, a general offloading framework is proposed based on the distance between users and the nearest base station. By partitioning network spectrum resource and using stochastic geometry, the expression of coverage probability and average ergodic rate of users in the fixed region and the random region are deduced on the basis of guaranteeing the quality of service of the macro users offloaded. The simulation results show that the combination of resource partitioning and offloading effectively improves the coverage probability and average ergodic rate of users while alleviating the congestion of the macro base stations.This provides an important theoretical basis for virtually deployment of networks.

Key words: ultra-density networks, stochastic geometry, load balancing, resource partitioning

中图分类号:

TN929.5

甄岩, 史江盼, 刘乔寿. 异构超密度网络中联合资源划分和卸载分析[J]. 系统仿真学报, 2019, 31(8): 1653-1663.

Zhen Yan, Shi Jiangpan, Liu Qiaoshou. Joint Resource Partitioning and Offloading Analysis in Heterogeneous Ultra-Dense Networks[J]. Journal of System Simulation, 2019, 31(8): 1653-1663.

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异构超密度网络中联合资源划分和卸载分析

Joint Resource Partitioning and Offloading Analysis in Heterogeneous Ultra-Dense Networks

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