TY  - JOUR
T1  - Spectrum Allocation in Cognitive Radio Networks Using Genetic Algorithm
AU - V. Krishnan, Kishore AU - Bagubali, A. AU - Shanmugasundaram, M. AU - Saravanan, K. AU - Subha Bharathi, S. 
JO  - Journal of Engineering and Applied Sciences
VL  - 14
IS  - 8
SP  - 2588
EP  - 2593
PY  - 2019
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2019.2588.2593
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2019.2588.2593
KW  - Spectrum allocation
KW  -cognitive radio
KW  -Genetic algorithm
KW  -direct
KW  -network
KW  -solutions
AB  - In this study, we present a method in which the dynamic spectrum gets optimized for its usage in
cognitive radio networks. Firstly, based on the interference temperature model, we determine the interference
constraints and there is a check on the transmission power of the secondary users. We then formulate the SINR
by considering the noise spectral density of the environment and the transmission powers of the surrounding
neighbors. Using the Shannon formula, we calculate the co-channel interference between potential links on
each channel. Next, using Genetic algorithm, we formulate the spectrum assignment problem. Genetic algorithms
are adaptive heuristic search algorithm based on previous and historic results obtained earlier. Although,
random, Genetic algorithms exploit historical information to direct the search into a set of better solutions. It
is observed that the total network capacity is improved by a significant margin bio inspired algorithms have
always been promising in giving optimum solutions.
ER  -