DocumentCode
2149495
Title
Cognitive Ultra-Wideband Radio Based on Adaptive Spectrum Allocation and Rake Receiver
Author
Wentaocui ; Caohai ; Li, Xiangyang
Author_Institution
Sch. of Inf. Eng., Shandong Univ. at Weihai, Weihai, China
fYear
2009
fDate
24-26 Sept. 2009
Firstpage
1
Lastpage
4
Abstract
Cognitive ultra-wideband(UWB) radio is supposed to economically solve the evermore serious problem of a spectrum scarcity at frequencies. In order to achieve this purpose, adaptive UWB pulse generation and spectrum allocation algorithm are investigated for utilizing the unique capability of UWB and cognitive radio technology. In this paper, an adaptive pulse generation algorithm based on a new pulse waveform design method of ultra wideband pulse is presented and employed into an UWB communication system with different Rake receiver, which can explore the adaptive pulse generation to realize a high date rate and high performance cognitive radio communication system. We evaluate this cognitive ultra-wideband radio system in a multi-path channel model proposed by the 802.15.3a Working Group and give the BER performance. With concern of acceptable complexity of system structure and low interference to primary (often licensed) users, this proposed scheme can be applied to different scenario.
Keywords
cognitive radio; error statistics; personal area networks; radio receivers; ultra wideband communication; 802.15.3 Working Group; BER performance; UWB pulse generation; adaptive pulse generation algorithm; adaptive spectrum allocation; cognitive ultrawideband radio; pulse waveform design method; rake receiver; spectrum allocation algorithm; Bit error rate; Cognitive radio; Design methodology; Fading; Frequency; Interference; Multipath channels; Pulse generation; Ultra wideband communication; Ultra wideband technology;
fLanguage
English
Publisher
ieee
Conference_Titel
Wireless Communications, Networking and Mobile Computing, 2009. WiCom '09. 5th International Conference on
Conference_Location
Beijing
Print_ISBN
978-1-4244-3692-7
Electronic_ISBN
978-1-4244-3693-4
Type
conf
DOI
10.1109/WICOM.2009.5303878
Filename
5303878
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