Performance Comparison of Optimization Methods for Flat-Top Sector Beamforming in a Cellular Network

Authors

  • Pampa Nandi Kalinga Institute of Industrial Technology University Bhubaneswar
  • Jibendu Sekhar Roy Kalinga Institute of Industrial Technology University Bhubaneswar

DOI:

https://doi.org/10.26636/jtit.2022.162122

Keywords:

flat-top sector beam, particle swarm optimization, real-coded genetic algorithm

Abstract

The flat-top radiation pattern is necessary to form an appropriate beam in a sectored cellular network and to provide users with best quality services. The flat-top pattern offer ssufficient power and allows to minimize spillover of signal to adjacent sectors. The flat-top sector beam pattern is relied upon in sectored cellular networks, in multiple-input multiple-output (MIMO) systems and ensures a nearly constant gain in the desired cellular sector. This paper presents a comparison of such optimization techniques as real-coded genetic algorithm (RGA) and particle swarm optimization (PSO), used in cellular networks in order to achieve optimum flat-top sector patterns. The individual parameters of flat-top sector beams, such as cellular coverage, ripples in the flat-top beam, spillover of radiation to the adjacent sectors and side lobe level (SLL) are investigated through optimization performed for 40 and 60◦ sectors. These
parameters are used to compare the performance of the optimized RGA and PSO algorithms. Overall, PSO outperforms the RGA algorithm.

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Submitted

2026-09-15

Published

2022-09-30

Issue

No. 3 (2022)

Section

ARTICLES FROM THIS ISSUE

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Copyright (c) 2022 Pampa Nandi, Jibendu Sekhar Roy

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
P. Nandi and J. S. Roy, “Performance Comparison of Optimization Methods for Flat-Top Sector Beamforming in a Cellular Network”, JTIT, vol. 89, no. 3, pp. 39–46, Sep. 2022, doi: 10.26636/jtit.2022.162122.

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