Minimization of overall power transmission in a 5G HetNets Using Glowworm Swarm Optimization Algorithm

Minimization of overall power transmission in a 5G HetNets Using Glowworm Swarm Optimization Algorithm

Registration ID: IJNRD_224331

Published ID: IJNRD2406493

DOI: Click Here to Get

Isa Mohammed Sani , Dahiru Sani Shuaibu , sani Haliru Lawan , Y.M SAGAG

Glowworm Swarm Optimization (GSO), User Equipment (UE); Base Station (BS); Backhaul (BH); 5G HetNets; Quality of Service (QoS)

The major challenges associated with 5G network is the minimization of power consumption particular at the base station (BS) which uses more than 70% of the total access power of the network , and is usually characterize by dense deployment of small base station , In this research small base station (s-Bs) are inter-connected through the mm-Wave backhaul link to transfer traffic to the macro base station (M-Bs) and onto the core network (CN), in this set-up the network power consumption is affected by the way the user equipment (UE) are connected to the based station and the traffic routes through the BH links. Objective of this research is to minimized the power consumption of the heterogeneous network (HetNets) with use of Glowworms swarm optimization algorithm backhauling and s-BS/BH link I/O framework (GSOBSBS) is proposed to solve the power consumption problem in the HetNets. The proposed framework uses GSO algorithm for UEs association and BH, and a load sharing based s-BS I/O (LSBI/O) algorithm for the switching (on/off) of the s-BSs respectively , According to traffic load, the LSB (I/O) algorithm dynamically modifies the state of the s-BS from on to off. The load of that s-BS is then shared proportionately with other s-BS based on their respective loads demands. The GSO method uses a lowest cost flow heuristic technique to establish optimum network power consumption. It does this by utilizing a heuristic function that estimates the minimum power consumption towards the destination while taking the Access Network power (AN) and Backhaul power (BH) limitations into account. The suggested framework offers a way to reduce network power usage. When it comes to energy efficiency, the number of active small base stations, BH linkages, and network power consumption, the evaluation findings of the suggested framework beat those of the most advanced state of art algorithms.

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"Minimization of overall power transmission in a 5G HetNets Using Glowworm Swarm Optimization Algorithm", IJNRD - INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT (www.IJNRD.org), ISSN:2456-4184, Vol.9, Issue 6, page no.f19-f30, June-2024, Available :https://ijnrd.org/papers/IJNRD2406493.pdf

Volume 9 Issue 6, June-2024

Pages : f19-f30

Paper Reg. ID: IJNRD_224331

Published Paper Id: IJNRD2406493

Downloads: 000121122

Research Area: Electronics & Communication Engg. 

Country: Maiduguri, Borno State, Nigeria

Published Paper PDF: https://ijnrd.org/papers/IJNRD2406493.pdf

Published Paper URL: https://ijnrd.org/viewpaperforall?paper=IJNRD2406493

Journal Name: INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT(IJNRD)

ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

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