DocumentCode :
2509692
Title :
Hardware-Constrained Multi-Channel Cognitive MAC
Author :
Jia, Juncheng ; Zhang, Qian
Author_Institution :
Hong Kong Univ. of Sci. & Technol., Hong Kong
fYear :
2007
fDate :
26-30 Nov. 2007
Firstpage :
4653
Lastpage :
4658
Abstract :
Open spectrum systems allow unlicensed secondary users equipped with cognitive radio to opportunistically access the spectrum underutilized by primary users. Cognitive radio has many advanced features, such as agilely sensing the signal of primary users and utilizing multiple spectrum bands simultaneously, etc. However, the capability of practical cognitive radios is constrained by hardware cost, resulting in partial spectrum sensing and spectrum aggregation limit. In this paper, we take such constraints into consideration and investigate efficient spectrum management in ad hoc cognitive networks with single cognitive radio. A hardware-constrained cognitive MAC, HC-MAC, is proposed to conduct accurate spectrum sensing and spectrum access decision. We identify the optimal spectrum sensing decision for a single secondary transmission pair, and formulate it as an optimal stopping problem. A decentralized MAC protocol is then proposed for the ad hoc cognitive network. Simulation results are given to demonstrate the effectiveness of our proposed protocol.
Keywords :
access protocols; cognitive radio; wireless channels; ad hoc cognitive networks; cognitive radio; decentralized MAC protocol; efficient spectrum management; hardware-constrained multichannel cognitive MAC; multiple spectrum bands; open spectrum systems; optimal spectrum sensing decision; partial spectrum sensing; single secondary transmission pair; spectrum access decision; spectrum aggregation limit; unlicensed secondary users; Access protocols; Bandwidth; Cognitive radio; Computer science; Costs; Hardware; Media Access Protocol; OFDM; Radio spectrum management; Wireless communication;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Global Telecommunications Conference, 2007. GLOBECOM '07. IEEE
Conference_Location :
Washington, DC
Print_ISBN :
978-1-4244-1042-2
Electronic_ISBN :
978-1-4244-1043-9
Type :
conf
DOI :
10.1109/GLOCOM.2007.883
Filename :
4411793
Link To Document :
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