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High-performance quatrefoil-slotted THz MIMO antenna for 6G applications with regression-based machine learning

Md Ashraful Haque1, Md Shamiur Rahman Nishan2, Isha Das3

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A new miniaturized graphene antenna operating in the terahertz range offers ultra-high speeds for 6G wireless communication. This compact design achieves high gain and efficiency, making it ideal for next-generation data rates.

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Area of Science:

  • Wireless Communication Engineering
  • Terahertz Technology
  • Antenna Design

Background:

  • Future wireless systems like 6G demand ultra-high speeds, low latency, and high spectrum efficiency.
  • Terahertz (THz) spectrum range requires sophisticated antenna designs to meet these demands.

Purpose of the Study:

  • To introduce a miniaturized 2-element MIMO microstrip antenna with a graphene radiation patch for the THz regime.
  • To evaluate its performance for 6G communication, biomedical imaging, and high-resolution sensing.

Main Methods:

  • Design and simulation of a miniaturized 2-element MIMO microstrip antenna using a graphene patch on a polyimide substrate.
  • Verification using full-wave simulations and an equivalent RLC circuit model.
  • Incorporation of Machine Learning (ML) regression algorithms for design optimization.

Main Results:

  • Achieved resonant frequency at 4.78 THz with ultra-low return loss (-52dB) and a wide bandwidth of 1.32 THz.
  • Maximum gain of 11.97dB, radiation efficiency of ~90%, and port isolation of -40dB.
  • Excellent diversity performance (DG=9.999, ECC=0.0000175) and outperformance of existing antennas in key metrics.

Conclusions:

  • The proposed graphene antenna is a strong candidate for 6G communication due to its compact size, high efficiency, and superior performance.
  • Its capabilities extend to biomedical imaging and high-resolution sensing applications.
  • The antenna design demonstrates significant potential for next-generation wireless communication devices.