Performance Analysis of C-RAN with Different Deployment Distributions

• Published in: SN computer science Vol. 1; no. 4; p. 195
• Main Authors: Vinnakota, Venu Balaji, Sen, Debarati
• Format: Journal Article
• Language: English
• Published: Singapore Springer Singapore 01.07.2020; Springer Nature B.V
• Subjects: Antennas; Approximation; Beamforming; Business metrics; Cluster analysis; Computer Imaging; Computer Science; Computer Systems Organization and Communication Networks; Data Structures and Information Theory; Emerging Technologies for 5G and Beyond; Geometry; Information Systems and Communication Service; Monte Carlo simulation; Original Research; Pattern Recognition and Graphics; Simulation; Software Engineering/Programming and Operating Systems; Vision; C-RAN; Distributed beamforming; 5G; Point process
• ISSN: 2662-995X; 2661-8907
• DOI: 10.1007/s42979-020-00196-x

In cloud radio access networks (C-RAN) for 5G and beyond, the user-centric system model has gained popularity during downlink performance analysis for various reasons like tractability of stochastic geometric approach and distributed beamforming methods. In this paper, the coverage analysis of C-RAN with different distributions of BSs, e.g. uniform, PPP, Matern hard-core point process (MHCPP) of types I, II, and III are studied. We present the coverage analysis with the uniform distribution of BSs and compare it with other deployment distributions of BSs. The effect of threshold distance on the performance of MHCPP distributions is explored. The Monte Carlo simulation of heterogeneous C-RAN with different cluster point processes is observed and compared with the PPP model. The effect of the range of child clusters on the performance analysis is observed in the cluster point processes. To avoid the complexity in the study, interference is not considered in the analysis, and its counterpart simulations are also not considered while performing the comparison.