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AUTHOR(S): Mustefa Jibril, Nurye Hassen, Mesay Tadesse
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TITLE Load Balancing in 5G C-RAN using Swarm Intelligence (SI) Algorithms |
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ABSTRACT Cloud RAN(C-RAN) is also known as Centralized RAN is providing flexible for operators for capital expenditure and operational expenditure. The benefits of C-RAN minimize the Total Cost Ownership (TCO) and improve the network performance. It is providing benefit for low-latency network in 5G as Ultra-reliable Low-latency Communications (uRLLC). The 5G C-RAN providing the benefits of no need of rebuild the transport network. C-RAN architecture it is essential dynamically mapping of Remote Radio Heads (RRHs) and Baseband Units (BBUs). Otherwise, it will cause call blocking and network connections with less quality. The proposed paper optimization of reduce blocking calls as well as load process balance of BBUs by using Swarm Intelligence (SI) algorithms. In simulation results it’s proved that SI algorithm reduce the blocked calls and maximize balance of processing load of BBUs. |
KEYWORDS C-RAN, BBUs, RRH, Swarm Intelligence Algorithms, Total Cost Ownership |
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Cite this paper Mustefa Jibril, Nurye Hassen, Mesay Tadesse. (2021) Load Balancing in 5G C-RAN using Swarm Intelligence (SI) Algorithms. International Journal of Communications, 6, 13-17 |
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