Citation

Shabbir, Amna and Rizvi, Safdar Ali and Shirazi, Muhammad Faizan and Alam, Muhammad Mansoor and Mohd Su'ud, Mazliham (2024) Maximizing energy efficiency in HetNets through centralized and distributed sleep strategies under QoS constraint. Scientific Reports, 14 (1). ISSN 2045-2322

Text Maximizing energy efficiency in HetNets through centralized and distributed sleep strategies under QoS constraint.pdf - Published Version Restricted to Repository staff only Download (2MB)

Abstract

This research addresses the critical need to optimize the Energy Efciency (EE) for Ultra-Dense HetNets amid the ever-increasing demands for high-speed data networks. The rapid increase in high-speed devices highlights the urgent necessity for a transformative change in upcoming 5G cellular networks. According to Ericsson’s 2022 report, mobile data trafc volume is expected to double by 2027, with mobile video trafc anticipated to rise by nearly 30% each year. In response to these challenges, researchers have identifed essential technologies that facilitate 5G networks, including massive Multiple-input-Multiple-output (m-MIMO) systems and HetNets. Although both promise enhanced coverage and throughput, HetNets emerges as a cost-efective solution, surpassing m-MIMO in implementation cost and coverage. However, achieving maximum EE in HetNets necessitates careful consideration of various constraints, including delay, coverage probability, and Signal-to-Interference-plus-Noise Ratio (SINR) thresholds. This research marks a signifcant milestone in adopting the Distributed Dynamic Opportunistic Sleep Strategy (D-DOSS) approach. The D-DOSS method organizes small clusters throughout the network and evaluates key Quality of Service (QoS) parameters including Energy Utilization Efciency (EUE), Coverage Probability, Data Throughput, and Success Probability using Monte Carlo simulations. This research analyzes Distributed Sleep (DS) and Centralized Schemes (CS) concerning given QoS parameters. While DS methodologies often exhibit performance trade-ofs compared to CS, they provide signifcant advantages in terms of ease of implementation and management. CS, though representing the most commonly used method in ultra-dense HetNets involves high computational costs that complicate its management. By integrating the D-DOSS and addressing various constraints, this research not only advances HetNet technologies but also makes a signifcant contribution to optimizing EE while preserving network performance and QoS. The innovative D-DOSS approach ofers a promising solution to the challenges of energy efciency in wireless communication networks and paves the way for future advancements in HetNet deployments. The results and analysis show that D-DOSS efectively addresses the limitations of DS and outperforms existing CS techniques.

Item Type:	Article
Uncontrolled Keywords:	Energy efciency, HetNets, Distributed sleep (DS), Ultra-dense HetNets, Distributed dynamic opportunistic sleep strategy, Optimization techniques, Centralized sleep (CS)
Subjects:	Q Science > QA Mathematics > QA71-90 Instruments and machines
Divisions:	Faculty of Computing and Informatics (FCI)
Depositing User:	Ms Nurul Iqtiani Ahmad
Date Deposited:	04 Dec 2024 02:36
Last Modified:	04 Dec 2024 02:36
URII:	http://shdl.mmu.edu.my/id/eprint/13207

Downloads

Edit (login required)