Two-dimensional Genetic algorithm for OFDM-based cognitive radio systems

Huynh, Chuyen Khoa; Lee, Won Cheol

doi:10.1109/iccsn.2011.6013553

Cited by 1 publication

(1 citation statement)

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“…However, at high seeding values, the resulting fitness is lower than the fitness obtained with the standard GA. In [23,24], a two-dimensional structure for chromosome's implementation of the GA was used to optimize the parameters of a CR engine. The results indicate that the non-dominated sorting GA has a faster convergence than the conventional GA.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Smart Grid Communication Parameters Based Cognitive Radio Network

et al. 2019

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The demand for more spectrums in a smart grid communication network is a significant challenge in originally scarce spectrum resources. Cognitive radio (CR) is a powerful technique for solving the spectrum scarcity problem by adapting the transmission parameters according to predefined objectives in an active wireless communication network. This paper presents a cognitive radio decision engine that dynamically selects optimal radio transmission parameters for wireless home area networks (HAN) of smart grid applications via the multi-objective differential evolution (MODE) optimization method. The proposed system helps to drive optimal communication parameters to realize power saving, maximum throughput and minimum bit error rate communication modes. A differential evolution algorithm is used to select the optimal transmission parameters for given communication modes based on a fitness function that combines multiple objectives based on appropriate weights. Simulation results highlight the superiority of the proposed system in terms of accuracy and convergence as compared with other evolution algorithms (genetic optimization, particle swarm optimization, and ant colony optimization) for different communication modes (power saving mode, high throughput mode, emergency communication mode, and balanced mode).

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Section: Introductionmentioning

confidence: 99%