TY - GEN
T1 - Robust spectrum management with incomplete information
AU - Noam, Yair
AU - Leshem, Amir
AU - Messesr, Hagit
PY - 2014
Y1 - 2014
N2 - This paper studies the problem of competitive spectrum management in the presence of channel estimation errors. In particular, we study the effect of the channel estimation error on the Bayesian Interference Game (BIG), in which two selfsh wireless systems (players) share the same frequency band, where each player knows its own channel gains but does not know the other players channel gains. In the case where the channel is estimated perfectly, the BIG is known to have a spectrally effcient equilibrium point, which produces a higher payoff to both players than the trivial equilibrium, in which both players always interfere with each other. However, the assumption that each player knows its own channel gains impeccably is not practical due to estimation error. The latter leads to payoff perturbations, which can reduce spectral effciency by driving the spectrally effcient equilibrium point unstable. In this paper, we show that the spectral effciency is robust to small estimation errors; i.e., the BIGs spectrally effcient equilibrium point preserves its properties in the presence of estimation errors.
AB - This paper studies the problem of competitive spectrum management in the presence of channel estimation errors. In particular, we study the effect of the channel estimation error on the Bayesian Interference Game (BIG), in which two selfsh wireless systems (players) share the same frequency band, where each player knows its own channel gains but does not know the other players channel gains. In the case where the channel is estimated perfectly, the BIG is known to have a spectrally effcient equilibrium point, which produces a higher payoff to both players than the trivial equilibrium, in which both players always interfere with each other. However, the assumption that each player knows its own channel gains impeccably is not practical due to estimation error. The latter leads to payoff perturbations, which can reduce spectral effciency by driving the spectrally effcient equilibrium point unstable. In this paper, we show that the spectral effciency is robust to small estimation errors; i.e., the BIGs spectrally effcient equilibrium point preserves its properties in the presence of estimation errors.
UR - http://www.scopus.com/inward/record.url?scp=84905233700&partnerID=8YFLogxK
U2 - 10.1109/ICASSP.2014.6853632
DO - 10.1109/ICASSP.2014.6853632
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AN - SCOPUS:84905233700
SN - 9781479928927
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 429
EP - 433
BT - 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2014
Y2 - 4 May 2014 through 9 May 2014
ER -