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Swarm intelligence algorithms for antenna design and wireless communications

Swarm intelligence algorithms for antenna design and wireless communications

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The purpose of this chapter is to briefly describe different swarm intelligence algorithms and present their application to antenna and wireless communications design problems. This chapter presents results from design cases that include linear antenna array synthesis for null suppression, thinned arrays, patch antenna, and a partial transmit sequence scheme for peak-to-average-power ratio (PAPR) reduction of orthogonal frequency division multiplexing signals.

Chapter Contents:

  • Abstract
  • 26.1 Introduction
  • 26.2 Swarm intelligence algorithms
  • 26.2.1 Initialization
  • 26.2.2 Inertia weight particle swarm optimization
  • 26.2.3 Constriction factor particle swarm optimization
  • 26.2.4 Comprehensive learning particle swarm optimizer
  • 26.2.5 PSO for discrete-valued problems
  • 26.2.5.1 Binary PSO variants
  • 26.2.5.2 Boolean PSO
  • 26.2.6 Artificial bee colony algorithm
  • 26.2.7 Gbest-guided ABC
  • 26.2.8 Ant colony optimization
  • 26.3 Applications, numerical examples
  • 26.3.1 Linear antenna array synthesis with sidelobe level suppression and null control
  • 26.3.2 Thinned array design
  • 26.3.3 PAPR reduction of OFDM signals
  • 26.3.3.1 PAPR reduction problem description
  • 26.4 Conclusion
  • References

Inspec keywords: OFDM modulation; linear antenna arrays; microstrip antenna arrays; swarm intelligence; transmitting antennas; radio networks

Other keywords: linear antenna array synthesis; peak-to-average-power ratio reduction; null suppression; antenna communications design problems; PAPR; orthogonal frequency division multiplexing signals; partial transmit sequence scheme; patch antenna; wireless communications design problems; swarm intelligence algorithms

Subjects: Radio links and equipment; Modulation and coding methods; Antenna arrays

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