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JAIT 2024 Vol.15(5): 672-681
doi: 10.12720/jait.15.5.672-681

Smart 5G Small Cell Mobile Networking with Sleep Strategy Using Novel Swarm Optimization

Narasimha Rao Yamarthi 1,*, Padma Yenuga 2, Srikanth Meda 3, Lakshmi Tulasi R 3,
Venkata Anusha Kolluru 4, Satish Kumar Patnala 5, Bujji Babu Dasari 6, Lakshmi Naga Jayaparada G 7,
Om Prakash Samantray 8, Narasimha Reddy K V 9, Kunda Suresh Babu 9, and Lalitha Kumari Pappala 1
1. School of Computer Science and Engineering, VIT-AP University, Amaravati, India
2. Department of Information Technology, Prasad V. Potluri Siddhartha Institute of Technology, Vijayawada, India
3. Department of Computer Science and Engineering, RVR&JC College of Engineering, Guntur, India
4. Department of Computer Science and Engineering (AI&ML), RVR&JC College of Engineering, Guntur, India
5 Department of IT, Anil Neerukonda Institute of Technology and Sciences, Visakhapatnam, India
6 Department of Computer Science and Engineering, QIS College of Engineering and Technology, Ongole, India
7 Department of CSE, Malla Reddy College of Engineering and Technology, Secunderabad, Telangana, India
8 Department of Computer Science and Engineering, Raghu Engineering College, Visakhapatnam, India
9 Department of Computer Science and Engineering, Narasaraopet Engineering College, Narasaraopet, India
Email: padmayenuga@pvpsiddhartha.ac.in (P.Y.); msk@rvr.jc.in (S.M); kva@rvr.jc.in (V.A.K); psatishkumar.it@anits.edu.in (S.K.P); gjayaprada74@gmail.com (L.N.J.G); omprakash.samantray@raghuenggcollege.com (O.P.S.); narasimhareddynec03@gmail.com (N.R.K.V); rltulasi@rvrjc.ac.in (L.T.R); sureshkunda546@gmail.com (K.S.B.); lalitha.p@vitap.ac.in (L.K.P.); y.narasimharao@vitap.ac.in (N.R.Y); bujjibabu.dasari@qiscet.edu.in (B.B.D.)
*Corresponding author

Manuscript received October 23, 2023; revised December 25, 2023; accepted January 9, 2024; published May 28, 2024.

Abstract—Due to its major contribution to the overall energy consumption in Information and Communication Technologies (ICT), lowering the energy consumption of mobile communication networks has attracted a lot of attention. This study presents the implementation of a 5G network model based on heterogeneity, employing macro cells and small cells, in conjunction with diverse users and control techniques. In this work, the analysis is performed between the consumption of energy and the performance of users in the cellular networks. The objective is to address the identified problem which is related to energy conservation and proposed a solution utilizing the Modified Particle Swarm Optimization (MPSO) algorithm, which is then compared with the existing Iterative Optimization Algorithm (IOA). The sleep strategy involved in this work helps to save energy by overlapping the cells. The evaluation of the implemented solution focuses on various parameters, including contract rate, power, earnings, and energy efficiency. Comparing the outcomes achieved through the two optimization algorithms, the MPSO-based evaluation demonstrates superior performance over the iterative optimization algorithm in terms of energy efficiency and power consumption. Before applying sleep strategy, the energy efficiency is 2.6%, after applying sleep strategy with IOA having 4% and with suggested approach efficiency is obtained is 6%. The evaluation is conducted using the Matlab software tool.
Keywords—5G technology, base station, sleep strategy, Modified Particle Swarm Optimization (MPSO)

Cite: Narasimha Rao Yamarthi, Padma Yenuga, Srikanth Meda, Lakshmi Tulasi R, Venkata Anusha Kolluru, Satish Kumar Patnala, Bujji Babu Dasari, Lakshmi Naga Jayaparada G, Om Prakash Samantray, Narasimha Reddy K V, Kunda Suresh Babu, and Lalitha Kumari Pappala, "Smart 5G Small Cell Mobile Networking with Sleep Strategy Using Novel Swarm Optimization," Journal of Advances in Information Technology, Vol. 15, No. 5, pp. 672-681, 2024.

Copyright © 2024 by the authors. This is an open access article distributed under the Creative Commons Attribution License (CC BY-NC-ND 4.0), which permits use, distribution and reproduction in any medium, provided that the article is properly cited, the use is non-commercial and no modifications or adaptations are made.