Design and Implementation of Power Allocation and Interference Minimization of Cognitive Radio Sensor Networks

摘要

The Cognitive Radio (CR) is an emerging technology in order to solve the spectrum scarcity problem in the future wireless communication networks. Spectrum Sensing is found to be one of the most complex and power intensive tasks in Cognitive Radio (CR). To improve the network performance Orthogonal Frequency Division Multiple Access is assumed as the multiple access technique for Cognitive Radio. Interference Cancellation is important problem in optimization strategies (MIMO) Multiple Input Multiple Output OFDM based cognitive networks. The power allocation using water filling algorithm to minimize unnecessary transmission power and reduce mutual interference to primary users(PU) and other secondary users(SU), an interference minimization and subcarrier power allocation approach for OFDM based Cognitive Radio Networks. Different from the other work, the optimization of power is introduced to maximize the energy with consideration of imperfect spectrum sensing techniques. Simulation result MATLAB shows that for every value of power levels energy will be improved. It also improves spectrum efficiency and throughput enhancement in the network.