Prediction-based association control scheme in dense femtocell networks

Area of Science:

• Wireless communication networks
• Mobile computing
• Telecommunications engineering

Background:

• Femtocell base stations enhance coverage and resource utilization cost-effectively.
• Frequent handovers in femtocell networks degrade user throughput.
• Existing methods lack optimal handover decision-making for throughput maximization.

Purpose of the Study:

• To propose predictive association control schemes for femtocell networks.
• To reduce handover frequency without compromising network throughput.
• To enhance overall system effective throughput.

Main Methods:

• Development of predictive association control schemes.
• Focus on handover decisions that maximize network throughput.
• Design for distributed implementation in femtocell networks.

Main Results:

• Significant reduction in handover frequency compared to existing methods.
• Demonstrated improvement in network throughput.
• Validation of scheme effectiveness through simulations.

Conclusions:

• Proposed schemes effectively reduce handovers in femtocell networks.
• Predictive control enhances overall system throughput.
• The methods are suitable for distributed deployment and improve user experience.