Tlbo Based Spectrum Allocation in Cognitive Radio Network

91 TLBO BASED SPECTRUM ALLOCATION IN COGNITIVE RADIO NETWORK Baldev Swamy*, Srinivas Bachu** & CH. Lavanya*** * M-Tech, VLSI & Embedded System, DRK Institute of Science and Technology, Hyderabad, Telangana, India ** Assistant Professor, Department of ECE, Guru Nanak Institutions Technical Campus Hyderabad, Telangana, India *** Assistant Professor, Department of ECE, DRK Institute of Science and Technology, Hyderabad, Telangana, India Abstract: Cognitive Radio Networks (CRNs) have emerged as a solution for the problems created due to fixed spectrum allocation such as inefficient usage of licensed spectrum. CRNs aim at solving this problem by exploiting the spectrum holes (the spectrum not being used by primary radio nodes at a particular time) and allocating spectrum dynamically. In this work, a heuristic Teaching and Learning Based Optimization (TLBO) algorithm is used for solving Spectrum Allocation (SA) problem. The performance of TLBO algorithm is compared with Particle Swarm Optimization (PSO) and Artificial Bee Colony (ABC) algorithms in terms of equality of solution (network capacity) and timing complexity. The whole system is simulated in MatLab and compares the performance with PSO and ABC algorithm.