Autor/Autorin: Butt Faisal Riaz
Faisal Riaz is doing PhD from IQRA university, Islamabad Campus. His area of Research is Cognitive Radio. Engr.Rab Nawaz is pursuing his PhD in Electrical Engineering from Comsats and working as lecturer in MUST Uni. Engr. Asif Raza Butt is pursuing his PhD degree in Electrical Engineering from MAJU and working as an Assistant Professor in MUST.
An efficient cognitive radio spectrum decision and spectrum mobility schemes has been anticipated in this research book to enhance the potentials of cognitive radio based inter vehicle communication (IVC) system. Cognitive Radio has four main functions, spectrum sensing, spectrum management, spectrum mobility and spectrum sharing. At vehicular speed performing spectrum decision and then spectrum mobility is a challenging chore. Spectrum mobility is very frequent in IVC due to extremely mobile nature of vehicles and unpredictable RF channel. A proficient white space optimization technique is a basic requirement to perform in time spectrum decision and so in time spectrum mobility. Genetic Algorithm (GA) is considered as one of the best optimization techniques for white space optimization. But at vehicular speed simple genetic algorithm (GA) has been botched to perform optimization in real time. To anticipate this problem we have already proposed Memory Enabled Genetic algorithm (MEGA) in our previous work. In this research work we have further improved the convergence time of MEGA by manipulating the generation gap and mutation operator.Simulation results have proven new technique.
Über den Autor
Faisal Riaz is doing PhD from IQRA university, Islamabad Campus. His area of Research is Cognitive Radio. Engr.Rab Nawaz is pursuing his PhD in Electrical Engineering from Comsats and working as lecturer in MUST Uni. Engr. Asif Raza Butt is pursuing his PhD degree in Electrical Engineering from MAJU and working as an Assistant Professor in MUST.
Klappentext
An efficient cognitive radio spectrum decision and spectrum mobility schemes has been anticipated in this research book to enhance the potentials of cognitive radio based inter vehicle communication (IVC) system. Cognitive Radio has four main functions, spectrum sensing, spectrum management, spectrum mobility and spectrum sharing. At vehicular speed performing spectrum decision and then spectrum mobility is a challenging chore. Spectrum mobility is very frequent in IVC due to extremely mobile nature of vehicles and unpredictable RF channel. A proficient white space optimization technique is a basic requirement to perform in time spectrum decision and so in time spectrum mobility. Genetic Algorithm (GA) is considered as one of the best optimization techniques for white space optimization. But at vehicular speed simple genetic algorithm (GA) has been botched to perform optimization in real time. To anticipate this problem we have already proposed Memory Enabled Genetic algorithm (MEGA) in our previous work. In this research work we have further improved the convergence time of MEGA by manipulating the generation gap and mutation operator.Simulation results have proven new technique.
