Maximizing energy efficiency in HetNets through centralized and distributed sleep strategies under QoS constraint

Area of Science:

• Wireless communication networks
• Telecommunications engineering
• Computer networking

Background:

• Ultra-dense Heterogeneous Networks (HetNets) face increasing demands for data and energy efficiency.
• Massive Multiple-input-Multiple-output (m-MIMO) and HetNets are key 5G technologies, with HetNets offering a cost-effective solution.
• Optimizing Energy Efficiency (EE) in HetNets requires balancing constraints like delay, coverage, and Signal-to-Interference-plus-Noise Ratio (SINR).

Purpose of the Study:

• To optimize Energy Efficiency (EE) in ultra-dense HetNets using a novel approach.
• To evaluate the performance of the Distributed Dynamic Opportunistic Sleep Strategy (D-DOSS) against existing methods.
• To ensure Quality of Service (QoS) parameters are maintained while improving EE.

Main Methods:

• Implementation of the Distributed Dynamic Opportunistic Sleep Strategy (D-DOSS) involving network clustering.
• Evaluation of QoS parameters including Energy Utilization Efficiency (EUE), Coverage Probability, Data Throughput, and Success Probability.
• Monte Carlo simulations to analyze D-DOSS against Distributed Sleep (DS) and Centralized Schemes (CS).

Main Results:

• D-DOSS effectively addresses the limitations of Distributed Sleep (DS) methodologies.
• The proposed D-DOSS approach demonstrates superior performance compared to existing Centralized Schemes (CS).
• D-DOSS optimizes EE in HetNets while preserving critical network performance and QoS parameters.

Conclusions:

• The Distributed Dynamic Opportunistic Sleep Strategy (D-DOSS) offers a significant advancement in HetNet technology.
• D-DOSS provides a promising solution for energy efficiency challenges in wireless communication.
• This strategy paves the way for future improvements in HetNet deployments and overall network performance.