5G network is the next generation for cellular networks to overcome the challenges and limitations of the 4G network. Cloud Radio Access Network(C-RAN) is providing solutions for cost-efficient and power-efficient solutions for the 5G network. The aim of this paper proposed an energy-efficient C-RAN to minimize the cost of the network by dynamically allocating BBU resources to RRHs as per facing traffic, and also minimize the energy consumption of centralized BBU resources that affect dynamically allocate of RRHs. Particle Swarm Optimization (PSO) algorithm is a Swarm Intelligence algorithm for optimization of mapping between BBU-RRH for resource allocation in C-RAN. The main objective of the paper is as per resource usage in C-RAN the BBU is put in the active or in-active mode to minimize energy consumption in C-RAN of 5G technology. As per our proposed C-RANapplication, the proposed PSO algorithm 90% minimizes energy consumption and maximizes energy efficiency compared with existing work.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Dynamically Energy-Efficient Resource Allocation in 5G CRAN Using Intelligence Algorithm


    Beteiligte:

    Erscheinungsdatum :

    26.06.2022


    Anmerkungen:

    doi:10.24003/emitter.v10i1.661
    EMITTER International Journal of Engineering Technology; Vol 10 No 1 (2022); 217-230 ; 2443-1168 ; 2355-391X ; 10.24003/emitter.v10i1



    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Klassifikation :

    DDC:    629





    Energy Efficient Resource Allocation for Secure NOMA Networks

    Zhang, Haijun / Yang, Ning / Long, Keping et al. | IEEE | 2018



    Energy Efficient Resource Allocation in Vehicular Cloud based Architecture

    Alahmadi, Amal A. / Musa, Mohammed O. I. / El-Gorashi, T. E. H. et al. | ArXiv | 2019

    Freier Zugriff

    Energy Efficient Resource Allocation for MIMO SWIPT Broadcast Channels

    Tang, Jie / So, Daniel K. C. / Shojaeifard, Arman et al. | IEEE | 2017