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EXTRAPOLATION METHOD FOR MAXIMAL AND 24-H AVERAGE LTE TDD EXPOSURE ESTIMATION.

D Franci1, E Grillo1, S Pavoncello1

  • 1ARPA Lazio, Department of Rome, Via Giuseppe Saredo 52, 00173 Rome, Italy.

Radiation Protection Dosimetry
|October 7, 2017
PubMed
Summary
This summary is machine-generated.

This study introduces a new method to assess Long-Term Evolution Time Division Duplex (LTE TDD) exposure by measuring Cell-Specific Reference Signal power. The validated technique helps regulatory authorities optimize TDD systems.

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Area of Science:

  • Telecommunications Engineering
  • Electromagnetic Field Theory
  • Radio Frequency Engineering

Background:

  • Long-Term Evolution (LTE) technology has evolved from Universal Mobile Telecommunication System, introducing Frequency Division Duplex (FDD) and Time Division Duplex (TDD) modes.
  • Despite initial limited expansion in Europe, LTE TDD has recently garnered renewed commercial interest, necessitating optimized extrapolation procedures for regulatory bodies.

Purpose of the Study:

  • To develop and validate an extrapolation method for assessing human exposure to LTE TDD radio frequency sources.
  • To provide regulatory authorities with a tool for optimizing TDD system deployment and management.

Main Methods:

  • The proposed method relies on detecting the power level of the Cell-Specific Reference Signal (SRS).
  • A novel parameter, βTDD, is introduced to quantify the downlink transmission fraction within the LTE TDD frame duration.
  • Experimental validation was conducted using a vector signal generator and a test Base Transceiver Station.

Main Results:

  • The developed extrapolation method accurately assesses exposure levels based on SRS power.
  • The βTDD parameter effectively quantifies the downlink portion of the LTE TDD signal.
  • Experimental measurements confirmed the method's validity and reliability.

Conclusions:

  • The presented extrapolation method offers a reliable approach for assessing LTE TDD exposure.
  • The inclusion of the βTDD parameter enhances the accuracy of exposure assessments for TDD systems.
  • This method supports regulatory authorities in managing and optimizing LTE TDD network deployments.