DocumentCode
2089229
Title
Adaptive rate and power transmission for OFDM-based cognitive radio systems
Author
Bedeer, Ebrahim ; Dobre, Octavia A. ; Ahmed, Mohamed Hossam ; Baddour, Kareem E.
Author_Institution
Fac. of Eng. & Appl. Sci., Memorial Univ. of Newfoundland, St. John´s, NL, Canada
fYear
2013
fDate
9-13 June 2013
Firstpage
4671
Lastpage
4676
Abstract
This paper studies the joint rate and power allocation problem for OFDM-based cognitive radio systems where secondary users (SUs) can opportunistically access the spectrum of primary users (PUs). We propose a novel algorithm that jointly maximizes the OFDM-based cognitive radio system throughput and minimizes its transmit power, while guaranteeing a target bit error rate per subcarrier and restricting both co-channel interference (CCI) and adjacent channel interference (ACI) to existing primary users. Since estimating the instantaneous channel gains on the links between the SU transmitter and the PUs receivers is impractical, we assume only knowledge of the path loss on these links. Closed-form expressions are derived for the close-to-optimal bit and power distributions. Simulation results are described that illustrate the performance of the proposed scheme and show its closeness to that of an exhaustive search for the discrete optimal allocations. Further, the results quantify the violation ratio of both the CCI and ACI constraints at the PUs receivers due to the partial channel information. The effect of adding a fading margin to reduce the violation ratio is also studied.
Keywords
OFDM modulation; adjacent channel interference; cochannel interference; cognitive radio; error statistics; radio receivers; radio transmitters; ACI; CCI; OFDM; PU receivers; SU transmitter; adaptive rate; adjacent channel interference; bit error rate; cochannel interference; cognitive radio systems; power transmission; primary users; secondary users; Bit error rate; Frequency modulation; Interference; OFDM; Optimization; Receivers; Throughput; Cognitive radio; OFDM systems; joint optimization; rate and power allocation; resource allocation; spectrum sharing;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications (ICC), 2013 IEEE International Conference on
Conference_Location
Budapest
ISSN
1550-3607
Type
conf
DOI
10.1109/ICC.2013.6655309
Filename
6655309
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