Dynamic Spectrum Management with minimizing user´s budget

This paper deals with one algorithm used to manage Dynamic Spectrum (Dynamic Spectrum Management, DSM) called nonlinear programming. Now a day, DSM problem is an open problem that many scientists and researchers try to develop such a algorithm to manage the frequency ranging from 3 Khz to 300 Ghz called Radio Spectrum. Radio Spectrum is quite an important range of frequencies as this range may be used for wireless communication. In this paper, the problem is proposed as minimizing user´s budget since a user´s budget is quite important in the competitive market. Problem is set as a nonlinear programming with example to demonstrate the algorithm as well.