Research Article
Utility Analysis of Software Defined Heterogeneous Cellular Networks
@INPROCEEDINGS{10.1007/978-3-319-60717-7_20, author={Haiqi Jiang and Tao Han and Xiaohu Ge and Lijun Wang}, title={Utility Analysis of Software Defined Heterogeneous Cellular Networks}, proceedings={Quality, Reliability, Security and Robustness in Heterogeneous Networks. 12th International Conference, QShine 2016, Seoul, Korea, July 7--8, 2016, Proceedings}, proceedings_a={QSHINE}, year={2017}, month={8}, keywords={Software Defined Network Wireless network function vitalization Utility function Access control Discrete stochastic optimization algorithm}, doi={10.1007/978-3-319-60717-7_20} }- Haiqi Jiang
Tao Han
Xiaohu Ge
Lijun Wang
Year: 2017
Utility Analysis of Software Defined Heterogeneous Cellular Networks
QSHINE
Springer
DOI: 10.1007/978-3-319-60717-7_20
Abstract
With the development of the 5G communication systems, the coexistence of a variety of wireless networks has become an inevitable trend. Different wireless networks have different features and applications. However, they are independent of each other and have no cooperative relationship in the most of cases. This paper investigates the application of the Software Defined Network (SDN) and wireless network function vitalization on the access control criterion of the heterogeneous cellular networks. The SDN controller manages all wireless access points based on the inaccurate feedback network state information. Wireless network virtualization technology can simplify the complexity of the system running and improve the efficiency of the communication system based on the utility theory which takes a number of respects into consideration, such as the maximum achievable data rate, signal-to-interference-and-noise ratio (SINR) and the traffic load state. Moreover, a discrete stochastic optimization algorithm is presented to solve the problem of inaccurate feedback information in a fast convergence rate, which is caused by the delay and noise over wireless channels. Extensive simulations show that our proposed model and algorithm can achieve utility optimization considering practical parameters configurations in wireless networks.
