TY - GEN
T1 - MAC protocol identification approach for implement smart cognitive radio
AU - Hu, Sanqing
AU - Yao, Yu Dong
AU - Yang, Zhuo
PY - 2012
Y1 - 2012
N2 - Cognitive radio (CR) is regarded as a solution to address the spectrum scarcity issue in wireless communications. In CR, an unlicensed network user is enabled to dynamically/adaptively access the frequency channels according to the current state of the radio environment and, therefore, CR refers to a smart radio as defined in an 'observe-learn-decision' cognitive cycle. In this paper, we consider the medium access control (MAC) protocols as radio parameters in the cognitive cycle, and propose a new approach called MAC protocol identification to implement smart cognitive MAC. The MAC protocol identification approach enables CR users to sense and identify the network MAC protocol types. The identification results will be used by CR users to adaptively change their transmission parameters in order to improve the spectrum hole utilization efficiency, save energy, minimize the interference to the primary users, as well as facilitate communications among heterogeneous CR networks. To verify that the MAC protocol identification is feasible, we propose a MAC identification process based on machine learning techniques in this paper, and some experimental results are presented.
AB - Cognitive radio (CR) is regarded as a solution to address the spectrum scarcity issue in wireless communications. In CR, an unlicensed network user is enabled to dynamically/adaptively access the frequency channels according to the current state of the radio environment and, therefore, CR refers to a smart radio as defined in an 'observe-learn-decision' cognitive cycle. In this paper, we consider the medium access control (MAC) protocols as radio parameters in the cognitive cycle, and propose a new approach called MAC protocol identification to implement smart cognitive MAC. The MAC protocol identification approach enables CR users to sense and identify the network MAC protocol types. The identification results will be used by CR users to adaptively change their transmission parameters in order to improve the spectrum hole utilization efficiency, save energy, minimize the interference to the primary users, as well as facilitate communications among heterogeneous CR networks. To verify that the MAC protocol identification is feasible, we propose a MAC identification process based on machine learning techniques in this paper, and some experimental results are presented.
KW - CSMA
KW - TDMA
KW - cognitive radio
KW - identification
KW - medium access control
KW - pure ALOHA
KW - slotted ALOHA
UR - http://www.scopus.com/inward/record.url?scp=84871969793&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84871969793&partnerID=8YFLogxK
U2 - 10.1109/ICC.2012.6364881
DO - 10.1109/ICC.2012.6364881
M3 - Conference contribution
AN - SCOPUS:84871969793
SN - 9781457720529
T3 - IEEE International Conference on Communications
SP - 5608
EP - 5612
BT - 2012 IEEE International Conference on Communications, ICC 2012
T2 - 2012 IEEE International Conference on Communications, ICC 2012
Y2 - 10 June 2012 through 15 June 2012
ER -