DocumentCode
1535105
Title
Fading Cognitive Multiple Access Channels: Outage Capacity Regions and Optimal Power Allocation
Author
Kang, Xin ; Liang, Ying-Chang ; Garg, Hari Krishna
Author_Institution
Dept. of Electr. & Comput. Eng., Nat. Univ. of Singapore, Singapore, Singapore
Volume
9
Issue
7
fYear
2010
fDate
7/1/2010 12:00:00 AM
Firstpage
2382
Lastpage
2391
Abstract
This paper considers a spectrum sharing based cognitive radio network where a M-user fading multiple access network shares the same spectrum with an existing primary network. The primary network´s transmission is assumed to be protected by the interference power constraint. Under this interference power constraint together with the individual transmit power constraint of each user, the outage capacity regions for the fading cognitive multiple access channel (C-MAC) are defined for two different scenarios, i.e., an outage must be declared simultaneously for all users (common outage) and outages are declared individually for each user (individual outage). Then, optimal power allocation strategies to achieve the boundary points of these outage capacity regions are derived by considering their equivalent problems, i.e., the common/individual usage probability maximization for given rate vectors. It is rigorously proved that the optimal decoding strategy is the successive decoding strategy, and the decoding order is determined by the dual variables and the channel power gains of the involved channels. Then, a modified ellipsoid method is proposed to obtain the optimal dual variables. Finally, several numerical examples are given to validate the proposed studies.
Keywords
AWGN; Channel capacity; Chromium; Cognitive radio; Decoding; Fading; Frequency; Interference constraints; Mutual information; Quality of service; Cognitive radio; multiple access channel; outage capacity; power control; spectrum sharing;
fLanguage
English
Journal_Title
Wireless Communications, IEEE Transactions on
Publisher
ieee
ISSN
1536-1276
Type
jour
DOI
10.1109/TWC.2010.07.091743
Filename
5508988
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