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

Authors

Zhen Yan, 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;;
Jiangpan Shi, 1. Key Laboratory of Optical Communication and Networks, Chongqing University of Posts and Telecommunications, Chongqing 400065, China; ;
Qiaoshou Liu, 1. Key Laboratory of Optical Communication and Networks, Chongqing University of Posts and Telecommunications, Chongqing 400065, China; ;

Abstract

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.

Recommended Citation

Yan, Zhen; Shi, Jiangpan; and Liu, Qiaoshou (2019) "Joint Resource Partitioning and Offloading Analysis in Heterogeneous Ultra-Dense Networks," Journal of System Simulation: Vol. 31: Iss. 8, Article 19.
DOI: 10.16182/j.issn1004731x.joss.17-0298
Available at: https://dc-china-simulation.researchcommons.org/journal/vol31/iss8/19

First Page

1653

Revised Date

2017-08-16

DOI Link

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

Last Page

1663

CLC

TN929.5

Recommended Citation

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.

DOI

10.16182/j.issn1004731x.joss.17-0298