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A Model for Wireless-Access Network Topology and a PSO-Based Approach for Its Optimization

  • H. HildmannEmail author
  • D. Y. Atia
  • D. Ruta
  • S. S. Khrais
  • A. F. Isakovic
Chapter
Part of the Studies in Computational Intelligence book series (SCI, volume 795)

Abstract

By the year 2020, the global network of connected sensors and devices will contain 50 billion connected devices and be the single largest factor in global power consumption. The planet’s ICT infrastructure already exceeds 10% of mankind’s power consumption (tendency: rising). The complexity of designing the topology for extend wireless access to ensure a thorough and economically sound signal coverage in buildings (from a building’s base station to distributed antennas throughout the building, through a complex network of coaxial cables and power splitters) increases exponentially (\({O(n^{n-2})}\)). We present our results from using Particle Swarm Optimization (PSO) to provide near optimal network topology for distributed in-building antenna systems. We use Prüfer code representation to efficiently traverse through different spanning tree solutions. Our approach is scalable and robust, capable of producing I-DAS design advice for buildings beyond one hundred floors. We demonstrate that our model is capable of obtaining optimal solutions for small buildings and near optimal solutions for tall buildings.

Keywords

Global Power Consumption Room Telephone Distributed Antenna Systems (DAS) Individual Floor Total Deployment Cost 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgements

The authors are grateful for the support from the UAE ICT-Fund on the project “Biologically Inspired Network Services”. We acknowledge K. Poon (EBTIC, KUST) for bringing the I-DAS problem to our attention. HH acknowledges the hospitality of the EBTIC Institute and F. Saffre (EBTIC, KUST) during his fellowship 2017.

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • H. Hildmann
    • 1
    Email author
  • D. Y. Atia
    • 2
  • D. Ruta
    • 3
  • S. S. Khrais
    • 2
  • A. F. Isakovic
    • 4
  1. 1.Dep. de Ingeniería de Sistemas y AutomáticaUniversidad Carlos III de Madrid (UC3M)LéganesSpain
  2. 2.Khalifa University of Science and TechnologyAbu DhabiUAE
  3. 3.EBTICKhalifa University of Science and TechnologyAbu DhabiUAE
  4. 4.Physics DepartmentKhalifa University of Science and TechnologyAbu DhabiUAE

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