Performance evaluation of Cognitive Radio Network Predictive MAC (P-MAC) access algorithm and its enhancement
Jan. 28, 2013 to Jan. 30, 2013
Salwa Elramly , Electronics and Communication Eng. Dept. Faculty of Engineering, Ain Shams University Cairo, Egypt
Cognitive radio (CR) technology is envisaged to solve the problems in wireless networks resulting from the limited available spectrum resources and the inefficiency in the spectrum usage by exploiting the existing wireless spectrum opportunistically. In this paper, Predictive MAC (P-MAC) is the MAC protocol that we propose as a new one for Cognitive Radio Networks (CRN). This MAC protocol can be applied on centralized or distributed networks. It is based on a prediction model called Exponential Smoothing model (ESM) . The ESM predicts the channel distribution behavior for an ON/OFF channel scenario with various distributions. The P-MAC has the ability to fill the channel's vacancies as much as possible with less sensing time and RTS/CTS exchange. Therefore, the proposed model occupies the vacancies much better than the other ones. Also by using a simulation model we proved that it has higher throughput and less sensing overhead.
exponential smoothing, medium access control, spectrum sensing, cognitive radionetwork
Salwa Elramly, "Performance evaluation of Cognitive Radio Network Predictive MAC (P-MAC) access algorithm and its enhancement", ICOIN, 2013, The International Conference on Information Networking 2014 (ICOIN2014), The International Conference on Information Networking 2014 (ICOIN2014) 2013, pp. 434-439, doi:10.1109/ICOIN.2013.6496418