naa a22 4500 510793533 CHVBK 20180411083328.0 cr unu---uuuuu 180411e20130601xx s 000 0 eng 10.1007/s11277-012-0778-0 doi (NATIONALLICENCE)springer-10.1007/s11277-012-0778-0 Improving Water-Filling Algorithm to Power Control Cognitive Radio System Based Upon Traffic Parameters and QoS [Elektronische Daten] [Elham Hosseini, Abolfazl Falahati] Cognitive radio scenario is based upon the ability to determine the radio transmission parameters from its surrounding environment. Power allocation in cognitive radio systems improves secondary network capacity subject to primary receiver interference level threshold. In this paper, statistical property of the injected interference power in primary user channel is used to establish the container bottom for each subcarrier employing water filling algorithm. In other words, the container bottom level of each subcarrier depends on the injected interference in primary user (PU) (most probably from the overloaded neighbor subcarriers). Traffic statistical parameters are also employed to formulate power allocation problem. Within this context, quality of service constraint is considered also to improve performance of power allocation algorithm. Simulation Results show that the injected interference in PU is decreased while the secondary user capacity improves. Indeed, the proposed algorithm is more compatible than a waterfilling algorithm with cognitive radio system constraints. Springer Science+Business Media, LLC., 2012 Cognitive radio nationallicence OFDM nationallicence Power control nationallicence Water filling algorithm nationallicence Hosseini Elham Department of Electrical Engineering (DCCS Lab.), Iran University of Science and Technology, Tehran, Iran aut Falahati Abolfazl Department of Electrical Engineering (DCCS Lab.), Iran University of Science and Technology, Tehran, Iran aut Wireless Personal Communications Springer US; http://www.springer-ny.com 70/4(2013-06-01), 1747-1759 0929-6212 70:4<1747 2013 70 11277 https://doi.org/10.1007/s11277-012-0778-0 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11277-012-0778-0 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Hosseini Elham Department of Electrical Engineering (DCCS Lab.), Iran University of Science and Technology, Tehran, Iran aut NATIONALLICENCE 700 1- Falahati Abolfazl Department of Electrical Engineering (DCCS Lab.), Iran University of Science and Technology, Tehran, Iran aut NATIONALLICENCE 773 0- Wireless Personal Communications Springer US; http://www.springer-ny.com 70/4(2013-06-01), 1747-1759 0929-6212 70:4<1747 2013 70 11277 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer