Open AccessSpectrum allocation in cognitive radio networks using chaotic biogeography‐based optimisation
Author(s) -
Tegou Thomas I.,
Tsiflikiotis Antonios,
Vergados Dimitrios D.,
Siakavara Katherine,
Nikolaidis Spiros,
Goudos Sotirios K.,
Sarigiannidis Panagiotis,
Obaidat Mohammad
Publication year - 2018
Publication title -
iet networks
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.466
H-Index - 21
eISSN - 2047-4962
pISSN - 2047-4954
DOI - 10.1049/iet-net.2017.0264
Subject(s) - cognitive radio , chaotic , spectrum (functional analysis) , computer science , frequency allocation , mathematical optimization , polynomial , artificial intelligence , mathematics , telecommunications , wireless , mathematical analysis , quantum mechanics , physics
Cognitive radio networks are a promising technology for the improvement of the spectrum utilisation. The basic idea is to maximise the utilisation of the available spectrum by dynamically assigning available channels to secondary users. This problem known as the spectrum allocation problem is non‐deterministic polynomial‐time hard (NP‐hard). Chaotic biogeography‐based optimisation (CBBO) is a recently proposed evolutionary algorithm that can be applied to the above‐mentioned problem. The authors compare CBBO with other popular algorithms in different spectrum allocation problem cases. The results show that CBBO performs in general better or similar to the other algorithms.