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Interference Cancellation Based Spectrum Sharing for Massive MIMO Communication Systems.

Milembolo Miantezila Junior1, Bin Guo1, Chenjie Zhang1

  • 1School of Electronics and Information Engineering, Changchun University of Science and Technology, Changchun 130022, China.

Sensors (Basel, Switzerland)
|June 2, 2021
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Summary
This summary is machine-generated.

This study proposes a novel interference cancellation algorithm for spectrum sharing between radar and mobile LTE systems. The new approach effectively optimizes spectrum access by removing interference, enhancing overall system performance.

Keywords:
channel optimizationinterference cancellationmassive MIMOsignal detectionspectrum sharing

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Area of Science:

  • Electrical Engineering
  • Computer Science
  • Signal Processing

Background:

  • Cellular network operators anticipate over 200% growth in data traffic due to increased users.
  • Investments in infrastructure like small cells and technologies such as LTE-Advanced and 6G are crucial for mitigating capacity challenges.

Purpose of the Study:

  • To propose a projection study for spectrum sharing between radar MIMO and mobile LTE MIMO systems.
  • To develop and evaluate a novel interference cancellation algorithm for enhanced spectrum access.

Main Methods:

  • A projection study was conducted on spectrum sharing between radar MIMO and mobile LTE MIMO systems near multiple base stations.
  • A new interference cancellation algorithm based on radar projection signal detection was proposed.
  • The algorithm projects radar signals into the null space of interference channels to remove disturbances.

Main Results:

  • The proposed approach effectively cancels interference from radar MIMO systems.
  • It also cancels disturbance sources from selected mobile Communication Base Stations.
  • Experimental results demonstrate significant optimization of Spectrum Access.

Conclusions:

  • The novel interference cancellation algorithm successfully optimizes spectrum access in shared radar and mobile LTE environments.
  • This approach offers a viable solution for managing increasing data traffic demands in cellular networks.