DocumentCode :
1323584
Title :
Cross-Layer Antenna Selection and Channel Allocation for MIMO Cognitive Radios
Author :
Ghosh, Amiotosh ; Hamouda, Walaa
Author_Institution :
Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, QC, Canada
Volume :
10
Issue :
11
fYear :
2011
fDate :
11/1/2011 12:00:00 AM
Firstpage :
3666
Lastpage :
3674
Abstract :
We propose algorithms to address the spectrum efficiency and fairness issues of multi band multiuser Multiple-Input and Multiple-Output (MIMO) cognitive ad-hoc networks. To improve the transmission efficiency of the MIMO system, a cross layer antenna selection algorithm is proposed. Using the transmission efficiency results, user data rate of the cognitive ad-hoc network is determined. Objective function for the average data rate of the multi band multiuser cognitive MIMO ad-hoc network is also defined. For the average data rate objective function, primary users interference is considered as performance constraint. Furthermore, using the user data rate results, a learning-based channel allocation algorithm is proposed. Finally, numerical results are presented for performance evaluation of the proposed antenna selection and channel allocation algorithms.
Keywords :
MIMO communication; ad hoc networks; channel allocation; cognitive radio; learning (artificial intelligence); multifrequency antennas; multiuser channels; wireless channels; MIMO cognitive radio; channel allocation; crosslayer antenna selection; learning-based channel allocation algorithm; multiband multiuser multiple-input multiple-output cognitive ad-hoc network; objective function; performance evaluation; spectrum efficiency; transmission efficiency; Ad hoc networks; Channel allocation; Complexity theory; Interference; MIMO; Transmitting antennas; Ad-hoc networks; MIMO systems; cognitive networks; cross-layer design; game theory;
fLanguage :
English
Journal_Title :
Wireless Communications, IEEE Transactions on
Publisher :
ieee
ISSN :
1536-1276
Type :
jour
DOI :
10.1109/TWC.2011.080611.100912
Filename :
6021433
Link To Document :
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