TY - GEN
T1 - Stochastic channel selection in cognitive radio networks
AU - Song, Yang
AU - Fang, Yuguang
AU - Zhang, Yanchao
PY - 2007
Y1 - 2007
N2 - In this paper, we investigate the channel selection strategy for secondary users in cognitive radio networks. We claim that in order to avoid the costly channel switchings, a secondary user may desire an optimal channel which maximizes the probability of successful transmissions, rather than consistently adapting channels to the random environment. We propose a stochastic channel selection algorithm based on the learning automata techniques. This algorithm adjusts the probability of selecting each available channel and converges to the e-optimal solution asymptotically.
AB - In this paper, we investigate the channel selection strategy for secondary users in cognitive radio networks. We claim that in order to avoid the costly channel switchings, a secondary user may desire an optimal channel which maximizes the probability of successful transmissions, rather than consistently adapting channels to the random environment. We propose a stochastic channel selection algorithm based on the learning automata techniques. This algorithm adjusts the probability of selecting each available channel and converges to the e-optimal solution asymptotically.
UR - https://www.scopus.com/pages/publications/39349089251
UR - https://www.scopus.com/pages/publications/39349089251#tab=citedBy
U2 - 10.1109/GLOCOM.2007.925
DO - 10.1109/GLOCOM.2007.925
M3 - Conference contribution
SN - 1424410436
SN - 9781424410439
T3 - GLOBECOM - IEEE Global Telecommunications Conference
SP - 4878
EP - 4882
BT - IEEE GLOBECOM 2007 - 2007 IEEE Global Telecommunications Conference, Proceedings
T2 - 50th Annual IEEE Global Telecommunications Conference, GLOBECOM 2007
Y2 - 26 November 2007 through 30 November 2007
ER -