Paper Info
Title
SPEAD: Smart P-GW for Enhanced Access Discovery and Selection for NGCN
Abstract
Next Generation Cellular Networks (NGCN) envisions to provide ultra low latency, extremely high data rates (Gbps), massive and seamless connectivity. In order to meet these demands, NGCN is expected to deploy huge number of small cells (i.e. Femto cells, Pico cells & Micro cells) along with the current Macro LTE-A cells. Each NGCN cell is expected to consist of all the aforesaid type of cells supporting services like Device to Device (D2D) communications, Mobile Cloud Computing (MCC), Big Data, Internet of Things (IoT), Internet of Vehicles (IoV), etc. This in turn leads to proliferation of devices in the network supporting aforesaid heterogeneous services. On the other hand, the availability of different type of Next Generation Node B (gNBs) may vary dynamically based on event, time, location, weather conditions, load conditions etc. Therefore, it is necessary for UEs or smart devices to camp on to the appropriate gNB in order to avail un-interrupted and seamless services with high QoS and QoE. This article explores different use cases based on three dimensional axis of NGCN i.e. requirements, technologies and services, wherein the availability of gNBs vary depending on each use case. Furthermore, we explore the avenues of Access Network Discovery and Selection Function (ANDSF) node functionality to automate the congestion free network discovery and selection and help the devices to camp on to the optimal gNBs without the intervention of Mobile Network Operators (MNOs). We propose to enhance the legacy ANDSF capability by inducing a Data Analytics platform per virtual instance of PGW. Data analytics platform will make policies for ANDSF (assumed to be deployed in the same v-PGW) based on the use cases. The synergy of data analytics and ANDSF platform is scrutinized with the help of simulations performed with the help of real time cellular traffic traces in a dense urban area by a Korean operator in order to instill the effectiveness of our proposal.
Year
DOI
Venue
2018
10.1109/HPCC/SmartCity/DSS.2018.00090
2018 IEEE 20th International Conference on High Performance Computing and Communications; IEEE 16th International Conference on Smart City; IEEE 4th International Conference on Data Science and Systems (HPCC/SmartCity/DSS)
Keywords
Field
DocType
NGCN,ANDSF,Big Data Analytics,5G LTE-A
Mobile cloud computing,Femtocell,Computer science,Quality of service,Cellular traffic,Cellular network,Access network discovery and selection function,Big data,The Internet,Distributed computing
Conference
ISBN
Citations 
PageRank 
978-1-5386-6615-9
0
0.34
References 
Authors
10
6
Name
Order
Citations
PageRank
Sukhdeep Singh100.68
Ravneet Kour200.34
Yaswanth Kumar Gulla300.34
Navrati Saxena457744.48
Abhishek Roy5969.45
Bharat J. R. Sahu6343.19