Hussien, HMKatzis, KMfupe, Luzango P2022-11-282022-11-282021-12Hussien, H., Katzis, K. & Mfupe, L.P. 2021. Dynamic spectrum allocation for TVWS wireless access from high altitude platform. http://hdl.handle.net/10204/12537 .978-1-6654-4231-2978-1-6654-4232-9DOI: 10.1109/ICECET52533.2021.9698667http://hdl.handle.net/10204/12537The issue of spectrum allocation in cognitive high altitude platform wireless networks using TV White Space (TVWS) spectrum is presented in this paper. The mathematical model of spectrum allocation is given, and this model is converted into a constrained optimization problem with the goal of maximizing network benefits. Then, a spectrum allocation optimization approach is proposed that is based on improved immune clonal selection algorithm. According to the characteristics of the problem, the design, coding, cloning, mutation, hypermutation and selection operators suitable for the algorithm's solution are presented. Finally, a simulation experiment was carried out on this algorithm. The proposed algorithm was validated and proved that it converges better than Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). Moreover, experiments demonstrate that the suggested approach maximizes network benefits or rewards more effectively when compared with GA and PSO algorithms and results proved the effectiveness of the algorithm.AbstractenBaldwinian learningDynamic spectrum allocationFairnessHigh altitude platformImmune algorithmSecondary userSpectrum allocationTotal network benefitTV white spaceDynamic spectrum allocation for TVWS wireless access from high altitude platformConference PresentationHussien, H., Katzis, K., & Mfupe, L. P. (2021). Dynamic spectrum allocation for TVWS wireless access from high altitude platform. http://hdl.handle.net/10204/12537Hussien, HM, K Katzis, and Luzango P Mfupe. "Dynamic spectrum allocation for TVWS wireless access from high altitude platform." <i>2021 International Conference on Electrical, Computer and Energy Technologies (ICECET), Cape Town, South Africa, 09-10 December 2021</i> (2021): http://hdl.handle.net/10204/12537Hussien H, Katzis K, Mfupe LP, Dynamic spectrum allocation for TVWS wireless access from high altitude platform; 2021. http://hdl.handle.net/10204/12537 .TY - Conference Presentation AU - Hussien, HM AU - Katzis, K AU - Mfupe, Luzango P AB - The issue of spectrum allocation in cognitive high altitude platform wireless networks using TV White Space (TVWS) spectrum is presented in this paper. The mathematical model of spectrum allocation is given, and this model is converted into a constrained optimization problem with the goal of maximizing network benefits. Then, a spectrum allocation optimization approach is proposed that is based on improved immune clonal selection algorithm. According to the characteristics of the problem, the design, coding, cloning, mutation, hypermutation and selection operators suitable for the algorithm's solution are presented. Finally, a simulation experiment was carried out on this algorithm. The proposed algorithm was validated and proved that it converges better than Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). Moreover, experiments demonstrate that the suggested approach maximizes network benefits or rewards more effectively when compared with GA and PSO algorithms and results proved the effectiveness of the algorithm. DA - 2021-12 DB - ResearchSpace DP - CSIR J1 - 2021 International Conference on Electrical, Computer and Energy Technologies (ICECET), Cape Town, South Africa, 09-10 December 2021 KW - Baldwinian learning KW - Dynamic spectrum allocation KW - Fairness KW - High altitude platform KW - Immune algorithm KW - Secondary user KW - Spectrum allocation KW - Total network benefit KW - TV white space LK - https://researchspace.csir.co.za PY - 2021 SM - 978-1-6654-4231-2 SM - 978-1-6654-4232-9 T1 - Dynamic spectrum allocation for TVWS wireless access from high altitude platform TI - Dynamic spectrum allocation for TVWS wireless access from high altitude platform UR - http://hdl.handle.net/10204/12537 ER -25461