6533b856fe1ef96bd12b2491

RESEARCH PRODUCT

Performance analysis of user-centric SBS deployment with load balancing in heterogeneous cellular networks: A Thomas cluster process approach

Lei JiaoArif UllahGhulam AbbasFazal MuhammadZiaul Haq Abbas

subject

Computer Networks and CommunicationsComputer scienceDistributed computing020206 networking & telecommunications02 engineering and technologyLoad balancing (computing)Poisson distributionsymbols.namesakeBase station0202 electrical engineering electronic engineering information engineeringsymbolsCellular network020201 artificial intelligence & image processingNetwork performanceStochastic geometry

description

Abstract In conventional heterogeneous cellular networks (HCNets), the locations of user equipments (UEs) and base stations (BSs) are modeled randomly using two different homogeneous Poisson point processes (PPPs). However, this might not be a suitable assumption in case of UE distribution because UE density is not uniform everywhere in HCNets. Keeping in view the existence of nonuniform UEs, the small base stations (SBSs) are assumed to be deployed in the areas with high UE density, which results in correlation between UEs and BS locations. In this paper, we analyse the performance of HCNets with nonuniform UE deployment containing a union of clustered and uniform UE sets. The clustered UEs are considered to be modeled according to Thomas cluster process, and random UEs are assumed to be deployed via homogeneous PPP. The SBSs are considered to be deployed at the center of the UE clusters, which results in user-centric SBS deployment. We derive outage probability and rate coverage of the proposed model. Furthermore, to improve the network performance, the impact of association biasing is also assumed. Our results show that the user-centric SBS deployment outperforms the conventional HCNets model. Increase in association bias upto a certain value results in performance improvement of the proposed user-centric HCNet.

https://doi.org/10.1016/j.comnet.2020.107120