Abstract
This paper develops a stochastic geometry-based analytical approach for calculating the throughput reliability of a cloud-radio access network (C-RAN) comprising randomly distributed remote radio heads (RRHs) and randomly located users. A tunable distance-based RRH transmit power control mechanism along with cooperative joint transmissions by the RRHs is employed to achieve power savings and high throughput reliability. The analytical result for the throughput reliability serves as input to analysis of per user achievable average rate and C-RAN network-level performance metrics of spectral efficiency and energy efficiency. The analytical results are validated by Monte Carlo simulation results with good agreement, thus confirming the accuracy of the developed analytical approach. The key finding from the analysis is that by carefully tuning the RRH transmit power and cooperation parameter (cluster radius), it is possible to realize a threefold improvement in the energy efficiency along with 108% enhancement in the spectral efficiency of C-RANs. Copyright © 2016 John Wiley & Sons, Ltd.
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