Bio-Inspired Approaches in Telecommunications

Su Fong Chien*, C. C. Zarakovitis, Tiew On Ting, Xin She Yang

*Corresponding author for this work

Research output: Chapter in Book or Report/Conference proceedingChapterpeer-review

3 Citations (Scopus)

Abstract

Bio-inspired algorithms are modern optimization tools that are capable of solving complex design problems in many applications. Such algorithms aim to speed up the optimization process so as to tackle tougher optimization problems. Some of these algorithms, such as particle swarm optimization and cuckoo search, have been found to be much more feasible and practical in obtaining the optimal solution, compared to conventional mathematical methods. In this chapter, we will review design problems and their solution methods concerning resource and power allocations in orthogonal frequency division multiple access systems.

Original languageEnglish
Title of host publicationBio-Inspired Computation in Telecommunications
PublisherElsevier Inc.
Pages23-42
Number of pages20
ISBN (Electronic)9780128017432
ISBN (Print)9780128015384
DOIs
Publication statusPublished - 6 Feb 2015

Keywords

  • Bio-inspired algorithm
  • Convex optimization
  • Energy efficiency
  • OFDMA
  • Spectral efficiency
  • Subchannel allocation

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