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This study introduces an advanced method for near-field multifocusing on antenna arrays, optimizing both element positions and feeding weights. This technique enhances wireless link efficiency for applications like the Internet of Things and 5G networks.

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Area of Science:

  • Electromagnetics and Antenna Theory
  • Wireless Communication Systems
  • Array Signal Processing

Background:

  • Near-field multifocusing is crucial for modern wireless applications like the Internet of Things (IoT) and 5G.
  • Efficient management of energy and interference is vital for establishing robust wireless links.
  • Existing multifocusing methods primarily optimize feeding weights, with limited scope for array geometry optimization.

Purpose of the Study:

  • To propose an extended method for near-field multifocusing that optimizes both antenna element locations and feeding weights.
  • To enhance the degrees of freedom in antenna array design by allowing non-uniform element distributions.
  • To achieve more efficient antenna structures and better performance compliance with specific application requirements.

Main Methods:

  • Developed an optimization methodology that considers the spatial positioning of antenna array elements.
  • Integrated element location optimization with the traditional feeding weight optimization.
  • Validated the method through experimental simulations demonstrating its ability to determine optimal array configurations.

Main Results:

  • The proposed method successfully determines both the feeding weights and the element mesh (positions) of the antenna array.
  • Demonstrated the capability to achieve arbitrary element distributions or adhere to predefined geometric models.
  • Experimental results confirm the method's effectiveness in fulfilling multifocusing requirements.

Conclusions:

  • The extended method offers a more flexible and powerful approach to near-field multifocusing compared to traditional techniques.
  • Optimizing element locations alongside feeding weights significantly enhances antenna array design possibilities.
  • This research contributes to the development of more efficient and adaptable wireless communication systems.