Abstract | ||
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Softwarized Network Function Virtualization (sNFV) is driving the next generation 5G telecommunication networks to fulfill all the real time service demands of mobile users. Seamless connectivity with ultra low latency (ULL) in high mobility scenarios is one of the most necessary and challenging areas where researchers are working intensively. Thanks to Network Function Softwarization that helps to optimize the user data plane and control plane characteristics very easily with the help of Software Defined Networking (SDN). Inside a 5G network architecture the Serving Gateways (SGW) and Packet Data Gateways (PGW) are responsible for handing over the control functions (e.g signaling and tunnel creation) from one controller to another. SDN brakes SGW to make S/PGW-C at control plane and S/PGW-U at data plane. The UE traffic forwarding decisions are taken at S/PGW-C and further it instructs the S/PGW-U to execute the required data transferring operations. Dynamic up-gradations for uninterrupted signal flow are done at SGW-C using virtual machines running on a federated cloud. In this paper, we focus on a unique and novel SGW Controller Placement Problem (CPP) where a trade off has been made in between the controller load and handover frequency within a restricted network latency constraint. The problem formulations are done based on a Mixed Integer linear Optimization Programming model. The Pareto optimal algorithmic solution shows the suitable control plane distributions of SGW-C satisfying all the necessary objectives. |
Year | DOI | Venue |
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2020 | 10.1109/WCNCW48565.2020.9124902 | 2020 IEEE Wireless Communications and Networking Conference Workshops (WCNCW) |
Keywords | DocType | ISSN |
SDN,sNFV,5G,CPP,Network Function Softwarization | Conference | 2167-8189 |
ISBN | Citations | PageRank |
978-1-7281-5178-6 | 0 | 0.34 |
References | Authors | |
0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Deborsi Basu | 1 | 2 | 1.72 |
Abhishek Jain | 2 | 3 | 2.08 |
Raja Datta | 3 | 212 | 22.65 |
Uttam Ghosh | 4 | 83 | 15.58 |