Modification of Simple Antenna Pattern Models for Inter-Beam Interference Assessment in Massive...

Area of Science:

• Wireless Communication Engineering
• Antenna Theory and Design
• Signal Processing

Background:

• Cross-beam interference is a significant limitation for massive MIMO in 5G systems.
• Accurate interference evaluation is essential for spatial planning in wireless networks.
• Existing antenna pattern models face challenges with changing beam directions and complex patterns.

Purpose of the Study:

• To propose a novel modification of simple antenna pattern models for interference assessment.
• To develop an original methodology for evaluating the signal-to-interference ratio (SIR) from adjacent beams.
• To address the challenges posed by changing radiation directions and complex antenna patterns.

Main Methods:

• A novel modification to simple antenna pattern models by adjusting directivity.
• An original methodology for assessing SIR from adjacent beams using the modified patterns.
• Simulation studies employing a multi-ellipsoidal propagation model and 3GPP massive MIMO antenna patterns.

Main Results:

• The proposed modification allows for interference assessment independent of antenna type or structure.
• The methodology accurately assesses SIR, with errors of no more than 3 dB (LOS) and 0.1 dB (non-LOS).
• Simulations utilized 3GPP antenna patterns as a reference for SIR error analysis.

Conclusions:

• Modifying simple antenna pattern models offers a viable solution for accurate interference assessment in 5G systems.
• The developed methodology effectively mitigates challenges associated with complex antenna patterns and beam direction changes.
• This approach enhances the spatial planning and performance optimization of massive MIMO in wireless networks.