Original scientific paper
https://doi.org/10.24138/jcomss.v16i2.1013
Performance Evaluation in Single or Multi-Cluster C-RAN Supporting Quasi-Random Traffic
Iskanter-Alexandros Chousainov
; University of Peloponnese, 221 00 Tripolis, Greece
Ioannis Moscholios
; University of Peloponnese, 221 00 Tripolis, Greece
Alexandros Kaloxylos
; University of Peloponnese, 221 00 Tripolis, Greece
Michael Logothetis
; University of Patras, 265 04 Patra, Greece
Abstract
In this paper, a cloud radio access network (C-RAN) is considered where the remote radio heads (RRHs) are separated from the baseband units (BBUs). The RRHs in the C-RAN are grouped in different clusters according to their capacity while the BBUs form a centralized pool of computational resource units. Each RRH services a finite number of mobile users, i.e., the call arrival process is the quasi-random process. A new call of a single service-class requires a radio and a computational resource unit in order to be accepted in the C-RAN for a generally distributed service time. If these resource units are unavailable, then the call is blocked and lost. To analyze the multi-cluster C-RAN, we model it as a single-rate loss system, show that a product form solution exists for the steady state probabilities and propose a convolution algorithm for the accurate determination of congestion probabilities. The accuracy of this algorithm is verified via simulation. The proposed model generalizes our recent model where the RRHs in the C-RAN are grouped in a single cluster and each RRH accommodates quasi-random traffic.
Keywords
cloud; radio access; call blocking; product form; quasi-random
Hrčak ID:
240385
URI
Publication date:
15.6.2020.
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