论文信息 - Towards Adoption of Software Defined Wireless Backhaul Networks

Towards Adoption of Software Defined Wireless Backhaul Networks

The flexibility of future wireless network architectures is aimed at allowing more innovation, reducing complexity and improving service offerings. Software Defined Networking (SDN) has been identified as an enabler for this adoption. From an implementation perspective, we provide a description of use cases and a framework overview for its implementation. This framework and the future work identified serve as pointers for further research projects in Software Defined Wireless Network (SDWN).

Mathias Kretschmer | Christian Niephaus | Senka Hadzic | Osianoh Glenn Aliu

[1] Thorsten Horstmann,et al. Development Framework for Prototyping Heterogeneous Multi-Radio Wireless Networks , 2011, 2011 Proceedings of 20th International Conference on Computer Communications and Networks (ICCCN).

[2] George Ghinea,et al. Topology forming and optimization framework for heterogeneous wireless back-haul networks supporting unidirectional technologies , 2013, J. Netw. Comput. Appl..

[3] Mathias Kretschmer,et al. Wireless Back-haul: a software defined network enabled wireless Back-haul network architecture for future 5G networks , 2015, IET Networks.

[4] Mathias Kretschmer,et al. QoS-aware Wireless Back-haul network for rural areas in practice , 2012, 2012 IEEE Globecom Workshops.

[5] Muhammad Ali Imran,et al. A Survey of Self Organisation in Future Cellular Networks , 2013, IEEE Communications Surveys & Tutorials.

[6] Nick McKeown,et al. OpenFlow: enabling innovation in campus networks , 2008, CCRV.

[7] Nico Bayer,et al. CARMEN: Delivering carrier grade services over wireless mesh networks , 2008, 2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications.

[8] F. Richard Yu,et al. Wireless Network Virtualization: A Survey, Some Research Issues and Challenges , 2015, IEEE Communications Surveys & Tutorials.

[9] Mathias Kretschmer,et al. WiBACK: a back-haul network architecture for 5G networks , 2014 .