Traffic offloading techniques for 5G cellular: a three-tiered SDN architecture

There is an exponential growth in the Internet traffic and the Internet access from mobile users due to high traffic demands at core networks. The current core network capacity limits have become a major issue. Therefore, 5G will demand cellular networks with ultra low delay, high throughput and low congestion at the core network. To cope with aforementioned problems traffic at the frontline of the cellular networks are offloaded with improved mobility management for mobile users in such dense networks, which are called DenseNets by using User Rate-Perceived (URP) algorithm. Local IP Access (LIPA) and Selective IP Traffic Offloading (SIPTO) are currently used as data offloading techniques at the core network. In this paper, we propose two novel data offloading mechanisms: Femtocell IP Access (FIPA) and Selective Local Controller Traffic Offload (SLCTO) to offload traffic at the edge of the cellular network without passing through cellular core networks with decoupled control, as well as seamless handoff using URP algorithm. Also, we propose a Terrorism Prevention Control System (TPCS) to detect terrorist activities. These proposals such as FIPA, SLCTO, and URP for 3-Tiered SDN architecture achieve low delay, high throughput, and low cost over other data offloading technologies.

[1]  Satoshi Nagata,et al.  LTE-advanced: an operator perspective , 2012, IEEE Communications Magazine.

[2]  Abbas Jamalipour,et al.  A Unified Mobility and Session Management Platform for Next Generation Mobile Networks , 2007, IEEE GLOBECOM 2007 - IEEE Global Telecommunications Conference.

[3]  T. Taleb,et al.  Traffic Offload Enhancements for eUTRAN , 2012, IEEE Communications Surveys & Tutorials.

[4]  B. Bangerter,et al.  Networks and devices for the 5G era , 2014, IEEE Communications Magazine.

[5]  Klaus I. Pedersen,et al.  Mobility enhancements for LTE-advanced multilayer networks with inter-site carrier aggregation , 2013, IEEE Communications Magazine.

[6]  Jennifer Rexford,et al.  Toward Software-Defined Cellular Networks , 2012, 2012 European Workshop on Software Defined Networking.

[7]  John McNally,et al.  Local selected IP Traffic Offload Reducing traffic congestion within the mobile core network , 2013, 2013 IEEE 10th Consumer Communications and Networking Conference (CCNC).

[8]  Abbas Jamalipour,et al.  Mobility management in three-tier SDN architecture for DenseNets , 2016, 2016 IEEE Wireless Communications and Networking Conference.

[9]  Huarui Liang,et al.  How to support local IP access from the femto cell , 2009, 2009 IEEE International Conference on Communications Technology and Applications.

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

[11]  Abbas Jamalipour,et al.  An eco-inspired energy efficient access network architecture for next generation cellular systems , 2011, 2011 IEEE Wireless Communications and Networking Conference.

[12]  Chase Cotton,et al.  Packet-level traffic measurements from the Sprint IP backbone , 2003, IEEE Netw..

[13]  Vincenzo Mancuso,et al.  CROWD: An SDN Approach for DenseNets , 2013, 2013 Second European Workshop on Software Defined Networks.

[14]  Abbas Jamalipour,et al.  Ecological competition based resource control for sustainable heterogeneous wireless networks , 2011, 2011 IEEE 22nd International Symposium on Personal, Indoor and Mobile Radio Communications.

[15]  Christopher J. Edwards 5G searches for formula to shake off Shannon [Communications Mobile] , 2013 .

[16]  Injong Rhee,et al.  Mobile data offloading: how much can WiFi deliver? , 2013, TNET.

[17]  Zuren Feng,et al.  Application of mathematical algorithm on equation of GPS satellite navigation and positioning , 2011, 2011 International Conference on Networking, Sensing and Control.

[18]  Morteza Karimzadeh,et al.  Applying SDN/OpenFlow in Virtualized LTE to Support Distributed Mobility Management (DMM) , 2014, CLOSER.