Coverage and capacity based inter-frequency handover in multi-layer networks.

Area of Science:

• Telecommunications Engineering
• Wireless Network Optimization

Background:

• Multi-layer networks combine high-frequency and low-frequency cells for simultaneous capacity and coverage.
• Existing handover algorithms in these networks often lead to inefficient spectrum resource utilization.

Purpose of the Study:

• To propose a novel handover algorithm for multi-layer networks to address spectrum waste.
• To enhance both network capacity and user throughput while ensuring consistent coverage.

Main Methods:

• Developed an inter-frequency handover algorithm prioritizing coverage and user throughput.
• Encouraged inter-frequency handovers while suppressing intra-frequency handovers.
• Validated the algorithm's performance through theoretical analysis and simulations.

Main Results:

• Balanced the load ratio between high-frequency and low-frequency cells from 30/90 to 60/80.
• Increased user throughput by at least 54.3% for handover users.
• Improved average signal interference plus noise ratio (SINR) by 1.5 dB (high-frequency) and 5 dB (low-frequency), boosting system capacity by 10.5% (downlink) and 11.57% (uplink).
• Reduced call blocking ratio by 38% and end-to-end delay by 5.82%.

Conclusions:

• The proposed handover algorithm effectively optimizes spectrum resource utilization in multi-layer networks.
• Significant improvements in user throughput, SINR, system capacity, and reduced call blocking/delay demonstrate the algorithm's superiority over traditional methods.