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Modeling of Downlink Interference in Massive MIMO 5G Macro-Cell.

Kamil Bechta1, Cezary Ziółkowski2, Jan M Kelner2

  • 1Nokia Solutions and Networks, 54-130 Wrocław, Poland.

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Summary

A new multi-elliptical propagation model (MPM) accurately assesses fifth-generation (5G) intra-cell interference for massive MIMO systems. This efficient geometric approach aids 5G network planning and spectral efficiency maximization.

Keywords:
3GPP standard5Gdownlinkinterferencemassive MIMOmulti-beam antenna systemmulti-elliptical propagation modelsignal-to-interference ratio (SIR)

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Area of Science:

  • Wireless communication engineering
  • Signal processing
  • Electromagnetics

Background:

  • Multi-beam antenna systems are fundamental to fifth-generation (5G) mobile communications.
  • Massive multiple-input-multiple-output (mMIMO) techniques require precise angular separation of beams for efficient user service.
  • Accurate performance evaluation of 5G networks, especially mMIMO feasibility, is critical during planning and optimization.

Purpose of the Study:

  • To introduce a novel approach for assessing the impact of multi-beam antenna systems on intra-cell interference in 5G downlink.
  • To enable accurate modeling and efficient usage of mMIMO in 5G cells through a new assessment method.
  • To evaluate the feasibility of mMIMO implementation under various radio channel conditions.

Main Methods:

  • Utilized geometric channel models, specifically a multi-elliptical propagation model (MPM), to map propagation path trajectories and analyze angular power distribution.
  • Defined MPM's geometric structure using transmission characteristics like power delay profile and antenna beam patterns, based on 3rd Generation Partnership Project (3GPP) standards.
  • Compared MPM simulation results with those from a 3GPP-developed statistical channel model.

Main Results:

  • The MPM-based approach effectively models the minimum separation angle between co-channel beams in both line-of-sight (LOS) and non-line-of-sight (NLOS) conditions.
  • For 80% of simulated intra-cell signal-to-interference ratio (SIR) samples, MPM results showed a difference of 2 dB or less compared to the 3GPP model under LOS conditions.
  • MPM requires a single simulation instance, contrasting with the computationally intensive Monte Carlo method of the 3GPP model.

Conclusions:

  • The novel MPM offers a viable and efficient method for assessing mMIMO performance in 5G cells.
  • MPM facilitates accurate modeling of intra-cell interference, crucial for optimizing spectral efficiency in 5G systems.
  • The MPM's efficiency and accuracy make it a valuable tool for network planning and optimization before commercial 5G deployment.