A framework for interference control in Software-Defined mobile radio networks

To cope up with the booming of data traffic and to accommodate new and emerging technologies such as machine-type communications, the 5th Generation (5G) of mobile networks must be empowered with efficient resource allocation schemes that benefit from the adoption of the Software-Defined networking (SDN) paradigm. In radio communications, allocation of resources is tightly connected with interference. In this paper, we revisit the way wireless interference is managed and avoided relying on the SDN paradigm for controlling the network. The SDN approach is exploited to expose the lower layers of the stack (e.g., Physical and Medium Access Control) to the controller and its applications by making system parameters available, such that it is possible to dynamically configure the network in a logically centralized fashion, by means of specifically designed algorithms. The contribution of this work is threefold. First, we show how to adapt the SDN paradigm to mobile networks. Second, we propose the interference graph as an abstraction that can be used to control interference. Last, we formulate a throughput optimization tool that uses the proposed interference graph as an input.

[1]  Paulo Cardieri,et al.  Modeling Interference in Wireless Ad Hoc Networks , 2010, IEEE Communications Surveys & Tutorials.

[2]  Nick Feamster,et al.  Improving network management with software defined networking , 2013, IEEE Commun. Mag..

[3]  Rob Sherwood,et al.  Blueprint for introducing innovation into wireless mobile networks , 2010, VISA '10.

[4]  Karina Mabell Gomez,et al.  V-Cell: Going beyond the cell abstraction in 5G mobile networks , 2014, 2014 IEEE Network Operations and Management Symposium (NOMS).

[5]  Rob Sherwood,et al.  FlowVisor: A Network Virtualization Layer , 2009 .

[6]  Hervé Rivano,et al.  Optimization method for the joint allocation of modulation schemes, coding rates, resource blocks and power in self-organizing LTE networks , 2011, 2011 Proceedings IEEE INFOCOM.

[7]  Renato M. de Moraes,et al.  Modeling Interference in Wireless Ad Hoc Networks , 2007, 2007 15th International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems.

[8]  Xin Jin,et al.  SoftCell: scalable and flexible cellular core network architecture , 2013, CoNEXT.

[9]  Sachin Katti,et al.  SoftRAN: software defined radio access network , 2013, HotSDN '13.

[10]  Continuing in the direction of LTE-Advanced : the latest test signals for LTE Rel . 9 , 2011 .

[11]  Philip Levis,et al.  OpenRadio: a programmable wireless dataplane , 2012, HotSDN '12.

[12]  Lili Qiu,et al.  Impact of Interference on Multi-Hop Wireless Network Performance , 2003, MobiCom '03.