Goy tuuhuud: Natural spectral lines

Sunday, September 15, 2019

Natural spectral lines

Writing in the International Journal of Internet

Protocol Technology, Naziha Ali Saoucha and Badr Benmammar of the LTT Laboratory of Telecommunication Tlemcen, in Algeria explain how they have taken a bio-inspired approach to an orthogonal frequency-division multiplexing (OFDM) radio system. The approach offers the user a high-quality service without interfering with other user systems. It exploits three algorithms inspired by nature: the firefly, bat, and cuckoo search. The team has simulated their approach and compared it to the real-life alternatives—the classical genetic algorithm and particle swarm optimization—for link adaptation.

"Our proposed algorithms exhibit better performance in terms of convergence speed and solution quality with saving rates reaching over 98.93% and 46.60%, respectively," the team reports. It allows secondary, users to operate in the holes between the spread of frequencies reserved by law for the primary users. The system could cope with 1024 sub-carriers. The approach could be useful in wireless healthcare applications, multimedia, and elsewhere.









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