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An optimal algorithm for mmWave 5G wireless networks based on neural network.

Liang Chen1, Shebnam M Sefat2,3, Ki-Il Kim4

  • 1Jilin Provincial Institute of Education, Chang Chun 130022, China.

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Summary
This summary is machine-generated.

Fifth generation (5G) networks use millimeter wave (mmWave) spectrum for faster speeds. A new hybrid intelligent reflecting surface and deep neural network improve channel estimation for mmWave 5G communication.

Keywords:
5G networksChannel estimationOptimization algorithmmmWave communication

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Area of Science:

  • Wireless Communication Engineering
  • Signal Processing
  • Artificial Intelligence

Background:

  • Fifth generation (5G) wireless networks utilize millimeter wave (mmWave) spectrum for enhanced throughput.
  • Challenges in mmWave communication include poor propagation and complex coordination, hindering performance.
  • Smart reflective surfaces introduce complexity and imprecision to channel state information.

Purpose of the Study:

  • To address channel estimation challenges in mmWave 5G communication.
  • To propose a novel hybrid intelligent reflecting surface solution.
  • To develop an improved deep neural network (DNN) for effective channel estimation.

Main Methods:

  • A hybrid intelligent reflecting surface composed of passive components and RF circuits was designed.
  • An improved deep neural network (DNN) based technique was developed for channel estimation.
  • Performance was evaluated through simulations.

Main Results:

  • The proposed DNN-based technique demonstrated superior channel estimation performance.
  • The hybrid intelligent reflecting surface effectively managed channel complexity.
  • Simulation results indicate improved quality of service for mmWave 5G.

Conclusions:

  • The hybrid intelligent reflecting surface and DNN approach effectively overcomes mmWave channel estimation challenges.
  • This solution enhances the potential of mmWave 5G for high-performance wireless connectivity.
  • The proposed technique offers a promising path towards realizing the full capabilities of 5G mmWave.