OPTIMIZING QOS IN SELF ORGANIZING HETEROGENEOUS WIRELESS CELLULAR NETWORK USING FIREFLY ALGORITHM

ICTACT Journal on Communication Technology ( Volume: 13 , Issue: 1 )

Abstract

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Capacity and energy efficiency are crucial for next-generation wireless networks. Due to the dense deployment of base stations (BSs) in a heterogeneous network (HetNets), the consumption is from 60% to 80% of the total energy causing accentuated costs. Therefore, industry and researchers work to reduce the energy consumption of HetNets. The power optimization problem in the network is taken care of by the proposed reward function in a distributed network. To increase energy efficiency, guaranteeing the QoS requirements, this paper proposes the use of a firefly optimization algorithm with BS shutdown. The simulation results demonstrate that the proposed algorithms have better energy efficiency performance than the maximum power-based user association mechanism.

Authors

Gajanan Uttam Patil, Girish Ashok Kulkarni
Kavayitri Bahinabai Chaudhari North Maharashtra University, India

Keywords

AWNs, Firefly Algorithm, Markov Decision Process, Q-learning, Greedy

Published By
ICTACT
Published In
ICTACT Journal on Communication Technology
( Volume: 13 , Issue: 1 )
Date of Publication
March 2022
Pages
2627-2634

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