Experimental study of genetic algorithm based link adaptation for MIMO cognitive radio application
作者： P Vijaya Kumar , S Malarvizhi , None
关键词:
摘要: Cognitive radio is a potential candidate for resource management because of its capability to improve network efficiency and satisfy the growing demand in wireless cognitive technology applies machine learning techniques betterment performance management. Link adaptation one application Radio (CR) system. done by help sensing electrometric environment creating knowledge base. From base operational parameters protocols are adjusted achieve predefined objectives. Many algorithms used improvement such as genetic algorithm, Rule Based Reasoning, Fuzzy logic, Artificial Neural networks. Among that algorithm optimize multi parameter simultaneously iteratively. In this paper multiple adjustment technique based on bandwidth, band efficiency, transmission power, data rate Bit error rate. work real time experimental study optimization 2X2 MIMO link adaption carried out with use algorithm. National instruments PXIe 5673 vector signal generator 5663 analyser SDR platform implement scheme.
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