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

fYear

2011

Firstpage

1

Lastpage

4

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Wireless Communications, Networking and Mobile Computing (WiCOM), 2011 7th International Conference on

Conference_Location

Wuhan

ISSN

2161-9646

Print_ISBN

978-1-4244-6250-6

Type

conf

DOI

10.1109/wicom.2011.6040319

Filename

6040319