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Thinned smart antenna : a new concept for low-power consumption in large array applications in 6G wireless communication

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  • Anindita Khan
  • Jibendu Sekhar Roy

Abstract

The sixth-generation (6G) wireless communications and the Internet of Things (IoT) will connect thousands of devices through large antenna arrays. A large smart antenna (SA) requires high-power consumption. This paper suggests a new method of low-power antenna array design using a thinned smart antenna (TSA). Genetic algorithm (GA) and particle swarm optimization (PSO) are used for the optimal beamforming of TSA of dipole arrays. The GA and PSO are used with the least mean square (LMS) algorithm (GA-LMS, PSO-LMS), the recursive least square (RLS) algorithm (GA-RLS, PSO-RLS), and the sample matrix inversion (SMI) algorithm (GA-SMI, PSO-SMI). For GA-optimized TSAs of 20, 31, and 64 dipoles, the power savings are 15%, 25.8%, and 20.3%, respectively, with a side lobe level (SLL) reduction of 10.55 dB. For PSO-optimized TSAs of 20, 31, and 64 dipoles, the power savings are 25%, 22.6%, and 20.3%, respectively, with an SLL reduction of 8.5 dB.

Suggested Citation

  • Anindita Khan & Jibendu Sekhar Roy, 2025. "Thinned smart antenna : a new concept for low-power consumption in large array applications in 6G wireless communication," Journal of Electromagnetic Waves and Applications, Taylor & Francis Journals, vol. 39(3), pages 251-267, February.
    • Handle: RePEc:taf:tewaxx:v:39:y:2025:i:3:p:251-267
    DOI: 10.1080/09205071.2024.2448136
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