@inproceedings{b016ed3ddad44c1e9fd91fcfa09dcf85,
title = "Extended study towards performance improvement of Cloud-RAN",
abstract = "Cloud Radio Access Network (Cloud-RAN) has recently been proposed as a promising network architecture to maintain both profitability and quality of service of the ever-growing existing networks. This paper provides an extended optimization study of improving the performance of Cloud-RAN targeting minimized consumed power for the network. The minimization problem can be formulated as a Joint RRH selection and power minimization beamforming problem. We adapt a proposed greedy selection algorithm to decrease the number of active Remote Radio Heads (RRHs) and to optimize the transmitted power from RRHs to end users maintaining heterogeneous users' QoS requirements. A heuristics-driven approach has been proposed and applied to the optimization problem to further reach better optimum solutions of power consumption and to reduce the problem complexity. Simulation results coupled with a statistical analysis show that more reduction in both power consumption and complexity have been reached.",
keywords = "Beamforming, Cloud-RAN, Greedy Selection, Performance Optimization, Power Minimization",
author = "Maha Fathy and Bassem Mokhtar and Abdou, {Mohamed A.} and Rizk, {M. R.M.}",
note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 13th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2017 ; Conference date: 26-06-2017 Through 30-06-2017",
year = "2017",
month = jul,
day = "19",
doi = "10.1109/IWCMC.2017.7986432",
language = "English",
series = "2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1061--1066",
booktitle = "2017 13th International Wireless Communications and Mobile Computing Conference, IWCMC 2017",
}