Design problems in wireless communications

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Design problems in wireless communications

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Emerging Evolutionary Algorithms for Antennas and Wireless Communications — Recommend this title to your library

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Author(s): Sotirios K. Goudos
Source: Emerging Evolutionary Algorithms for Antennas and Wireless Communications,2021
Publication date April 2021

This chapter presents representative examples of design problems in wireless communications using evolutionary algorithms (EAs). The following design problems are dealt with: peak-to-average power ratio reduction in OFDM systems, antenna selection in MIMO systems, cognitive radio engine design, spectrum allocation in cognitive radio networks and the optimization of wireless sensor networks.

Chapter Contents:

  • 6.1 Peak-to-average power ratio reduction in OFDM systems
  • 6.1.1 System model
  • 6.1.2 Simulation settings
  • 6.1.3 Tuning control parameters
  • 6.1.4 Comparison with other methods
  • 6.2 Antenna selection in MIMO systems
  • 6.2.1 MIMO system model
  • 6.2.2 CBBO algorithm selection
  • 6.2.3 Simulation results
  • 6.2.3.1 Nonparametric statistical tests
  • 6.3 Cognitive radio engine design
  • 6.3.1 Problem formulation
  • 6.3.2 Numerical results
  • 6.4 Spectrum allocation in cognitive radio networks
  • 6.4.1 Problem formulation
  • 6.4.2 Simulation results
  • 6.4.3 Asymptotic behavior
  • 6.5 Optimization of wireless sensor networks
  • 6.5.1 System model
  • 6.5.2 Numerical results
  • References

Inspec keywords: wireless sensor networks; antennas; design engineering; MIMO communication; radio spectrum management; cognitive radio; OFDM modulation; evolutionary computation

Other keywords: evolutionary algorithms; antenna selection; MIMO systems; wireless sensor network; peak-to-average power ratio reduction; optimization; cognitive radio engine design; OFDM systems; wireless communications; spectrum allocation; design problems

Subjects: Project and design engineering; Radio links and equipment; Antennas; Optimisation techniques

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