Energy Efficient Pico Cell Range Expansion and Density Joint Optimization for Heterogeneous Networks with eICIC

Area of Science:

• Telecommunications Engineering
• Wireless Network Optimization
• Stochastic Geometry

Background:

• Heterogeneous networks (HetNets) with macro and pico cells offer improved spectral and energy efficiency for data traffic.
• Pico base station (PBS) density and cell range expansion (CRE) are key factors for HetNet performance.
• Inter-tier interference in HetNets necessitates advanced coordination techniques like enhanced inter-cell interference coordination (eICIC).

Purpose of the Study:

• To jointly optimize PBS density and pico CRE bias for enhanced network energy efficiency (EE) in HetNets.
• To develop a heuristic algorithm for maximizing network EE through joint parameter optimization.
• To analyze the impact of PBS density and CRE on spectral efficiency and EE.

Main Methods:

• Derivation of a closed-form expression for network EE using stochastic geometry theory.
• Application of a linear search algorithm for optimizing pico CRE bias and PBS density individually.
• Development of a heuristic algorithm for joint optimization of pico CRE bias and PBS density to maximize EE.

Main Results:

• The study provides a mathematical framework to analyze EE based on PBS density and pico CRE bias.
• A heuristic algorithm is proposed and validated for joint optimization, achieving EE maximization.
• Numerical simulations demonstrate significant EE improvements with low computational complexity.

Conclusions:

• Joint optimization of pico CRE bias and PBS density is crucial for enhancing energy efficiency in heterogeneous networks.
• The proposed heuristic algorithm effectively maximizes network EE while maintaining low computational overhead.
• Stochastic geometry provides a powerful tool for analyzing and optimizing HetNet performance parameters.