摘要
In this paper,we study cross-layer scheduling scheme on multimedia application which considers both streaming traffic and data traffic over cognitive ad hoc networks.A cross-layer design is proposed to optimize SU's utility,which is used as an approach to balance the transmission efficiency and heterogeneous traffic in cognitive ad hoc networks.A framework is provided for utility-based optimal subcarrier assignment,power allocation strategy and corresponding modulation scheme,subject to the interference threshold to primary user(PU) and total transmit power constraint.Bayesian learning is adopted in subcarrier allocation strategy to avoid collision and alleviate the burden of information exchange on limited common control channel(CCC).In addition,the M/G/l queuing model is also introduced to analyze the expected delay of streaming traffic.Numerical results are given to demonstrate that the proposed scheme significantly reduces the blocking probability and outperforms the mentioned single-channel dynamic resource scheduling by almost 8%in term of system utility.
In this paper,we study cross-layer scheduling scheme on multimedia application which considers both streaming traffic and data traffic over cognitive ad hoc networks.A cross-layer design is proposed to optimize SU＇s utility,which is used as an approach to balance the transmission efficiency and heterogeneous traffic in cognitive ad hoc networks.A framework is provided for utility-based optimal subcarrier assignment,power allocation strategy and corresponding modulation scheme,subject to the interference threshold to primary user（PU） and total transmit power constraint.Bayesian learning is adopted in subcarrier allocation strategy to avoid collision and alleviate the burden of information exchange on limited common control channel（CCC）.In addition,the M/G/l queuing model is also introduced to analyze the expected delay of streaming traffic.Numerical results are given to demonstrate that the proposed scheme significantly reduces the blocking probability and outperforms the mentioned single-channel dynamic resource scheduling by almost 8%in term of system utility.
基金
This work was supported by the National Natural Science Foundations of China （Grant No. 61201143）, the Fundamental Research Fund for the Central Universities （Grant No. HIT. NSRIF. 2010091）, the National Science Foundation for Post-doctoral Scientists of China （Grant No. 2012M510956）, and the Post-doc- toral Fund of Heilongjiang Province （GrantNo. LBHZ11128）.
作者简介
YANG Libiao, rceived the M .S. degree in informa- tion and commutation engineering from Harbin Engineering University, Harbin, China, in 2010. He is currently working toward the Ph.D. degree in infor- mation and communication engineering at School of Electronics and Information Engineering, HIT. His current research interests include cognitive radio network and its applications, resource allocation in wireless networks, and routing protocol in cognitive ad hoc networks. Email： libiao_yang@126.comZHAO Honglin, received the B.E., M.E., and Ph.D. degrees in communication engineering from Harbin institute of Technology, Harbin, China, in 1991, 1994, and 1998, respectively. He is currently a Professor with the Communication Research Center, School of Electronics and ]nformation Engineering, Harbin Institute of Technology. His research interests include spread spectrum communication, cognitive radio networks, and wireless broadband networks.Prof. Zhao is a member of China institute of Communica- tions. Email： hlzhao@hit.edu.cnJIA Min, IEEE member, received her M.Sc degree and Ph.D. degree in information and communication engineering from Harbin Institute of Technology in 2006 and 2020 respectively. She is currently a lec- turer and supervisor of master in Communication Research Center and School of Electronic and Infor- mation Engineering, Harbin Institute of Technology. Her research interests focus on advanced mobile communication technology for 3G and LTE, cognitive radio, digital signal processing and advanced broad- band satellite communication system. Email： jiamin@ hit.edu.cn
