Design and Simulation of Resilient RF Receivers for 5G Interference Mitigation Using MATLAB

Abstract

Introduction: Advanced terminal capabilities increase mobile broadband traffic, straining spectrum resources. Traditional methods like base stations are expensive. Heterogeneous networks (HetNets) using pico cells attempt to improve efficiency, however interference persists. A suggested mitigation technique uses the modified greatest weighting delay first (MLWDF) algorithm for resource allocation and reception processing, which performs well in simulations. Space, time, frequency, time-frequency, and coding domain interference reduction methods are investigated, each having hardware requirements and restrictions.

Aim and objectives: The study uses MATLAB to construct and simulate robust RF receivers. Enhancing 5G communication network interference reduction is the goal.

Method: Simulink is used to study transmitter and receiver RF losses, including I/Q imbalances, phase noise, and power amplifier non-linearity. Spectrum masks, error vector magnitudes, and peaks-to-average power ratios measure performance. Simulink models examine constellation distortion, neighboring channel rejection, and packet error rates in 802.11ax and 5G waveform reception due to RF impairments. The paper stresses the necessity of reliable data measurement for RF interference analysis and discusses interference mitigation.

Results: Comparing Error Vector Magnitudes (EVMs) in Case 1 and Case 2 shows how NR interference affects HE receptions. EVMs approach -20 dB in Case 1 without NR interference. In Case 2, NR interference distorts constellations and lowers EVMs to -17 dB, suggesting poor reception. ACRs demonstrate NR-free channel separation by measuring power differences. The future investigation involves analyzing ACRs with HE waveforms as interferers and examining system behavior under different interference situations.

Conclusion: To reduce non-idealities in mobile communication transceivers, this thesis presents digital projection interpolation and Wiener-SAF for leakage route and receiver nonlinearity estimation.