摘要
In the paper,we propose a framework to investigate how to effectively perform traffic flow splitting in heterogeneous wireless networks from a queue point.The average packet delay in heterogeneous wireless networks is derived in a probabilistic manner.The basic idea can be understood via treating the integrated heterogeneous wireless networks as different coupled and parallel queuing systems.The integrated network performance can approach that of one queue with maximal the multiplexing gain.For the purpose of illustrating the effectively of our proposed model,the Cellular/WLAN interworking is exploited.To minimize the average delay,a heuristic search algorithm is used to get the optimal probability of splitting traffic flow.Further,a Markov process is applied to evaluate the performance of the proposed scheme and compare with that of selecting the best network to access in terms of packet mean delay and blocking probability.Numerical results illustrate our proposed framework is effective and the flow splitting transmission can obtain more performance gain in heterogeneous wireless networks.
In the paper,we propose a framework to investigate how to effectively perform traffic flow splitting in heterogeneous wireless networks from a queue point.The average packet delay in heterogeneous wireless networks is derived in a probabilistic manner.The basic idea can be understood via treating the integrated heterogeneous wireless networks as different coupled and parallel queuing systems.The integrated network performance can approach that of one queue with maximal the multiplexing gain.For the purpose of illustrating the effectively of our proposed model,the Cellular/WLAN interworking is exploited.To minimize the average delay,a heuristic search algorithm is used to get the optimal probability of splitting traffic flow.Further,a Markov process is applied to evaluate the performance of the proposed scheme and compare with that of selecting the best network to access in terms of packet mean delay and blocking probability.Numerical results illustrate our proposed framework is effective and the flow splitting transmission can obtain more performance gain in heterogeneous wireless networks.
基金
ACKNOWLEDGEMENT This work was supported by National Natural Science Foundation of China （Grant No. 61231008）, National Basic Research Program of China （973 Program） （Grant No. 2009CB320404）, Program for Changjiang Scholars and Innovative Research Team in University （Grant No. IRT0852）, and the 111 Project （Grant No. B08038）.
作者简介
ZHENG Jie, received the Ph.D degree in June 2014 from Xidian University, Xi＇an, China. He is now an engineer of No.20 Research Institute of China Electronics Technology Group Corporation, Xi＇an, China. His research interests include heterogeneous radio networks, resource management and network optimization. Email：jzhengxidian@163.com.LI Jiandong, graduated from Xidian University with Bachelor Degree, Master Degree and Ph.D. in Communications and Electronic System respectively in 1982, 1985 and 1991. He is now a professor of Xidian University and executive dean of Graduate School. He is a senior member of IEEE and China Institute of Electronics （CIE） and the fellow of China Institute of Communication （CIC）. He was the member of PCN specialist group for China 863 Communication high technology program between Jan. 1993 and Oct. 1994 and from 1999 to 2000. He is also the member of Communication specialist group for The Ministry of Information Industry. His interests include broad- band wireless communications/networks, ad hoc networks, and cognitive radio.LIU Qin, an associate professor of State Key Labora- tory of Integrated Service Networks, Xidian University, Xi＇an, China. His interests include software defined radio, cognitive radio networks and mobile communication.SHI Hua, received the B.S. degree in June 2008 from Southwest Jiaotong University, Chengdu, China. She is currently working toward the Ph.D.degree in Xidian university, Xi＇an, China. Her research interests include heterogeneous wireless networks and dynamic spectrum management.YANG Xiaoniu, graduated from Xidian University with Bachelor Degree, and Master Degree in Communications and Electronic System respectively in 1982 and 1988. He is now the chief scientist of China Electronic Technology Group Corporation （CETC）. He is also a adjunct professor of Xidian University. His interests include communication signal processing and analysis, statistical signal processing and software defined radio.
