MAC protocol classification in a cognitive radio network
Document Type
Conference Proceeding
Date of Original Version
8-20-2010
Abstract
Most media access control (MAC) protocols can be classified as contention based or controlled based according to their transmission mechanisms. To classify contention based or control based MAC protocols in an unknown primary network, we choose received power mean and variance as two features for support vector machines (SVMs) in a machine learning based algorithm. The data consisting of these two features are collected from two primary network models based on time division multiple access (control based) and slotted Aloha (contention based), respectively. In the training process, data along with their identification class labels (say, 1 denotes time division multiple access, and -1 stands for slotted Aloha) are used to train the SVMs. After training, contention or control based MAC protocols can be effectively determined by the trained SVMs embedded in a cognitive radio terminal of a secondary network. ©2010 IEEE.
Publication Title, e.g., Journal
Wocc2010 Technical Program the 19th Annual Wireless and Optical Communications Conference Converging Communications Around the Pacific
Citation/Publisher Attribution
Yang, Zhuo, Yu Dong Yao, Sheng Chen, Haibo He, and Di Zheng. "MAC protocol classification in a cognitive radio network." Wocc2010 Technical Program the 19th Annual Wireless and Optical Communications Conference Converging Communications Around the Pacific (2010). doi: 10.1109/WOCC.2010.5510617.