Fuzzy-Logic Based Call Admission Control in 5G Cloud Radio Access Networks with Pre-emption
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2017-09-21Rights
© 2017 The Authors. This is an Open Access article distributed under the Creative Commons CC-BY license (https://creativecommons.org/licenses/by/4.0/legalcode)Peer-Reviewed
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Fifth generation (5G) cellular networks will be comprised of millions of connected devices like wearable devices, Androids, iPhones, tablets and the Internet of Things (IoT) with a plethora of applications generating requests to the network. The 5G cellular networks need to cope with such sky-rocketing tra c requests from these devices to avoid network congestion. As such, cloud radio access networks (C-RAN) has been considered as a paradigm shift for 5G in which requests from mobile devices are processed in the cloud with shared baseband processing. Despite call admission control (CAC) being one of radio resource management techniques to avoid the network congestion, it has recently been overlooked by the community. The CAC technique in 5G C-RAN has a direct impact on the quality of service (QoS) for individual connections and overall system e ciency. In this paper, a novel Fuzzy-Logic based CAC scheme with pre-emption in C-RAN is proposed. In this scheme, cloud bursting technique is proposed to be used during congestion, where some delay tolerant low-priority connections are pre-empted and outsourced to a public cloud with a penalty charge. Simulation results show that the proposed scheme has low blocking probability below 5%, high throughput, low energy consumption and up to 95% of return on revenue.Version
Published versionCitation
Sigwele T, Pillai P, Alam AS et al (2017) Fuzzy-Logic Based Call Admission Control in 5G Cloud Radio Access Networks with Pre-emption. EURASIP Journal on Wireless Communications and Networking. 2017: 157.Link to Version of Record
https://doi.org/10.1186/s13638-017-0944-xType
Articleae974a485f413a2113503eed53cd6c53
https://doi.org/10.1186/s13638-017-0944-x