DocumentCode
2962292
Title
Opportunistic spectrum access in cognitive radio networks
Author
Li, Cuiran ; Li, Chengshu
Author_Institution
Sch. of Electron. & Inf. Eng., Lanzhou Jiaotong Univ., Lanzhou
fYear
2008
fDate
1-8 June 2008
Firstpage
3412
Lastpage
3415
Abstract
Radio spectrum is one of the most scarce and valuable resources for wireless communications. Cognitive radio has been considered as an efficient means to opportunistic spectrum sharing between primary (licensed) users and cognitive radio users. In this paper, based on the two-phase channel and power allocation scheme proposed by A. T. Hoang etc., we present an opportunistic spectrum access approach for cognitive radio network. In the scheme proposed by A. T. Hoang etc., they consider a cognitive radio network that consists of multiple cells and the system throughput is defined as the total number of subscribers that can be simultaneously served. In this paper, we consider a cognitive radio network as self-organizing network. Furthermore, the throughput is defined as the average probability of success transmission. In our proposed approach, for each available channel, TDMA frame consists of N time slots, and each active cognitive user is assigned one transmission slot different from those of other active cognitive users in each frame. It allows an active cognitive user utilize the slots pre-assigned to the other active cognitive users under a range of values for accessing opportunity. We evaluate the performances of the opportunistic spectrum access approach in view of system throughput and energy efficiency.
Keywords
cognitive radio; radio spectrum management; time division multiple access; TDMA; cognitive radio networks; opportunistic spectrum access; power allocation scheme; radio spectrum; self-organizing network; two-phase channel; Cognitive radio; Neural networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2008. IJCNN 2008. (IEEE World Congress on Computational Intelligence). IEEE International Joint Conference on
Conference_Location
Hong Kong
ISSN
1098-7576
Print_ISBN
978-1-4244-1820-6
Electronic_ISBN
1098-7576
Type
conf
DOI
10.1109/IJCNN.2008.4634283
Filename
4634283
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