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

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

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.

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

CLC Number:

TN929.5

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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