Cognitive radio has emerged as a promising solution to alleviate the spectrum scarcity problem. With the capability of sensing the frequency bands in a time and location-varying spectrum environment and adjusting the operating parameters based on the sensing outcome, the cognitive radio technology allows an unlicensed user to exploit the frequency bands unused by licensed users in an opportunistic manner. In cognitive radio networks, due to the dynamically changing radio environment, control information, such as spectrum availability and neighborhood information, is crucial for the realization of many networking protocols and should be updated in a timely manner. This control information is often sent out as network-wide broadcasts, messages that are sent to all other nodes in a network. Although the broadcasting issue has been extensively investigated in traditional single channel and multi-channel ad hoc networks, there are unique challenges that are un-explored in the broadcast design in cognitive radio networks. In this talk, the new challenges for distributed broadcast in cognitive radio ad hoc networks will be discussed. Two new broadcast protocols that specifically address these new challenges in cognitive radio networks under practical scenarios will be presented and analyzed.
Dr. Linda Xie received the B.E. degree from Tsinghua University, Beijing, China, the MPhil degree from the Hong Kong University of Science and Technology, and the M.S. and PhD degrees from the Georgia Institute of Technology, all in electrical and computer engineering. She joined the Department of Electrical and Computer Engineering at the University of North Carolina at Charlotte as an assistant professor in 2004. Currently, she is an associate professor. Her current research interests include resource and mobility management in wireless networks. She is on the editorial boards of IEEE Communications Surveys and Tutorials, Computer Networks (Elsevier), the Journal of Network and Computer Applications (Elsevier), and the Journal of Communications (Academy Publisher). She received a US National Science Foundation Faculty Early Career Development (CAREER) Award in 2010, a Best Paper Award from the IEEE/WIC/ACM International Conference on Intelligent Agent Technology (IAT 2010), and a Graduate Teaching Excellence Award from the College of Engineering at UNC-Charlotte in 2007.