Programs
- Ph. D. in Mechanical Engineering -
- B.Tech. in Artificial Intelligence (AI) and Data Science (Medical Engineering) - Undergraduate
Publication Type : Conference Paper
Publisher : Proceedings of IEEE International Conference on Circuit, Power and Computing Technologies, ICCPCT 2016, Institute of Electrical and Electronics Engineers Inc.
Source : Proceedings of IEEE International Conference on Circuit, Power and Computing Technologies, ICCPCT 2016, Institute of Electrical and Electronics Engineers Inc. (2016)
ISBN : 9781509012770
Keywords : Auto regressive models, Bandlimited, Channel capacity, Channel estimation, Channel prediction, channel state information, Computer circuits, Forecasting, MIMO systems, Radio channel modeling, Reconfigurable hardware, Reliable communication, Subspace-based channels, Transmitter and receiver, Wireless communication system, Wireless telecommunication systems
Campus : Coimbatore
School : School of Engineering
Department : Electronics and Communication
Year : 2016
Abstract : To ensure reliable communication and improve performance of a wireless communication system, it is required for the transmitter and receiver to have fair knowledge about the channel state information (CSI). Analysis of the basic channel prediction schemes like Parametric Radio channel model, Autoregressive model based prediction and Bandlimited basis expansion is done in this paper. Subspace based channel estimation techniques used by the parametric radio channel model for channel estimation is discussed in detail and a comparison of the techniques is also given in this paper work. © 2016 IEEE.
Cite this Research Publication : M. S. Kumar and Kirthiga, S., “Review of Parametric Radio channel prediction schemes for MIMO system”, in Proceedings of IEEE International Conference on Circuit, Power and Computing Technologies, ICCPCT 2016, 2016.