TY - GEN
T1 - Stochastic resource allocation for cognitive radio networks based on imperfect state information
AU - Marques, Antonio G.
AU - Giannakis, Georgios B.
AU - Lopez-Ramos, Luis M.
AU - Ramos, Javier
PY - 2011
Y1 - 2011
N2 - Efficient design of cognitive radio networks calls for secondary users implementing adaptive resource allocation, which requires knowledge of the channel state information in order to limit interference inflicted to primary users. In this context, the present paper develops stochastic resource allocation algorithms maximizing the sum-rate of secondary users while adhering to "average power" and "probability of interference" constraints. These constraints guarantee that the probability of the secondary network interfering with the primary one stays below a pre-specified level. The optimal schemes turn out to be a function of the quality of the secondary network links, the activity of the primary users, and the associated Lagrange multipliers. The focus is on algorithms that: i) use stochastic approximation tools to estimate the multipliers; and ii) are able to cope with imperfections in the information of the primary network state.
AB - Efficient design of cognitive radio networks calls for secondary users implementing adaptive resource allocation, which requires knowledge of the channel state information in order to limit interference inflicted to primary users. In this context, the present paper develops stochastic resource allocation algorithms maximizing the sum-rate of secondary users while adhering to "average power" and "probability of interference" constraints. These constraints guarantee that the probability of the secondary network interfering with the primary one stays below a pre-specified level. The optimal schemes turn out to be a function of the quality of the secondary network links, the activity of the primary users, and the associated Lagrange multipliers. The focus is on algorithms that: i) use stochastic approximation tools to estimate the multipliers; and ii) are able to cope with imperfections in the information of the primary network state.
KW - Cognitive radio
KW - imperfect channel state information
KW - resource management
KW - stochastic approximation
UR - http://www.scopus.com/inward/record.url?scp=80051640923&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=80051640923&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2011.5946701
DO - 10.1109/ICASSP.2011.5946701
M3 - Conference contribution
AN - SCOPUS:80051640923
SN - 9781457705397
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 3196
EP - 3199
BT - 2011 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011 - Proceedings
T2 - 36th IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2011
Y2 - 22 May 2011 through 27 May 2011
ER -