Title :
Hybrid Model Design and Transmission Rate Optimize with Interference Temperature Constraints in Cognitive Radio Sensor Networks
Author :
Zheng Tao ; Qin Yajuan ; Gao Deyun ; Duan Junqi ; Zhang Hongke
Author_Institution :
Nafional Eng. Lab. for Next Generation Internet Interconnection Devices, Beijing Jiaotong Univ., Beijing, China
Abstract :
Properly modeling the aggregated interferences from the entire cognitive radio sensor networks is necessary to effectively protect these incumbent users. In this paper, we present a prominent interference avoiding mechanism based on a mathematical hybrid modeling for the cumulative interference to the primary network as well as the probe link from secondary networks. For the purpose of the paper, we consider the interference temperature constraints and secondary network´s Quality-of-Service requirements, as well as obtain the optimal transmitter power for maximizing the system transmission rate.
Keywords :
cognitive radio; quality of service; radio networks; radiofrequency interference; cognitive radio sensor networks; cumulative interference; hybrid model design; interference temperature; mathematical hybrid modeling; optimal transmitter power; quality-of-service requirements; transmission rate optimization; Cognitive radio; Interference; Radio transmitters; Receivers; Temperature sensors; Wireless sensor networks;
Conference_Titel :
Wireless Communications, Networking and Mobile Computing (WiCOM), 2011 7th International Conference on
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-6250-6
DOI :
10.1109/wicom.2011.6040319
