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Authors
Affiliations
1 Electronics and Communication Engineering at Rayat Institute of Engineering & Information
Technology, SBS Nagar, IN
2 Department of Electronics and Communication Engineering at Rayat Institute of Engineering
& Information Technology, SBS Nagar, IN
3 Department of Physics, Panjab University, Chandigarh, IN
Source
Artificial Intelligent Systems and Machine Learning, Vol 4, No 5 (2012), Pagination: 319-323
Abstract
In this paper we optimize the wide narrow band antenna switching for 5G using feedforward neural network to measure the suitability for accuracy. As we know 5G terminals will have software defined radios and modulation scheme as well as new error-control schemes can be downloaded from the Internet on the run. Here we done the switching with the help of neural network taking some parameters. Each network will be responsible for handling user-mobility, while the terminal will make the final choice among different wireless/mobile access network providers for a given service. Here we have investigated and analyzed this system to optimize the neural networks as to what numbers of layers are most suitable for optimization. Here accuracy of above 81% is reported.
Keywords
Optimization, 5G, Neural Network, Software Defined Radios, Noise Threshold, Transmission Antenna Power, Channel Noise.
