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Cell Selection Technique for Millimeter-Wave Cellular Systems with Hybrid Beamforming.

Mohammed Saquib Khan1, Sung Joon Maeng2, Yong Soo Cho3

  • 1School of Electrical and Electronic Engineering, Chung-Ang University, Seoul 156-756, Korea. snhk02@gmail.com.

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Summary

This study introduces a new cell selection technique for millimeter-wave (mm-wave) cellular systems. The proposed cell and beam synchronization signal (CBSS) reduces processing time and improves channel capacity.

Keywords:
cell selectionchannel estimationhybrid beamformingmillimeter-wave

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Area of Science:

  • Wireless Communication
  • Signal Processing
  • Telecommunications Engineering

Background:

  • Millimeter-wave (mm-wave) cellular systems face challenges in cell selection due to complex hybrid beamforming.
  • Estimating angles for cell selection in mm-wave systems requires significant processing time.
  • Efficient cell and beam management is crucial for simultaneous multi-beam transmissions.

Purpose of the Study:

  • To propose an efficient cell selection technique for mm-wave cellular systems utilizing hybrid beamforming.
  • To reduce the processing time associated with channel estimation and cell selection.
  • To enhance channel capacity and bit error rate performance.

Main Methods:

  • A novel cell and beam synchronization signal (CBSS) is proposed to integrate cell IDs and beam IDs.
  • Channel information and optimum precoder are utilized to select a serving cell that maximizes channel capacity.
  • Performance is evaluated using computer simulations with a spatial channel model.

Main Results:

  • The proposed technique with CBSS significantly reduces processing time for channel estimation and cell selection.
  • The method achieves additional gains in channel capacity compared to conventional techniques.
  • Improved bit error rate performance is also demonstrated.

Conclusions:

  • The proposed cell selection technique using CBSS is effective for mm-wave cellular systems.
  • The technique offers substantial improvements in efficiency and performance.
  • This approach enables better resource management and user experience in mm-wave networks.