Title :
Cognitive beamforming using genetic algorithm
Author :
Noori, Narges ; Razavizadeh, S. Mohammad
Author_Institution :
Iran Telecommun. Res. Center, Tehran, Iran
Abstract :
In this paper, adaptive beamforming scheme which employs GA was proposed in the downlink of the cognitive radio networks to minimize maximum interference power to the primary users subject to QoS constraints of the secondary users. Performance of the proposed scheme was investigated by some numerical simulation results.
Keywords :
array signal processing; cognitive radio; genetic algorithms; interference suppression; quality of service; radiofrequency interference; QoS; adaptive beamforming; cognitive radio networks; genetic algorithm; interference suppression; Array signal processing; Chromium; Cognitive radio; Interference; Quality of service; Signal to noise ratio;
Conference_Titel :
Antennas and Propagation Society International Symposium (APSURSI), 2010 IEEE
Conference_Location :
Toronto, ON
Print_ISBN :
978-1-4244-4967-5
DOI :
10.1109/APS.2010.5561810
