Speaker: I-LUN LEE ADVISOR: DR. HO-TING WU 2018.5.11 Multi-level edge computing framework for 5G cellular system with D2D enabled communication Speaker: I-LUN LEE ADVISOR: DR. HO-TING WU 2018.5.11

Outline Introduction Related works Propose system Simulation and Result Conclusions Future work References

Introduction With the massive increase of heterogeneous wireless devices, connectivity and traffic volume become a design challenge for the 5G cellular system. It is expected that the data traffic in 2020 will be 200 times much higher than that in 2010, and for 2030 data traffic will be 20,000 times higher than that of 2010. Moreover, 5G cellular system is required to achieve high throughput, ultra-low latency, high reliability, high connectivity and high mobility

Introduction (cont’d) Some technologies should be employed at the core network Software Defined Networking (SDN) Network Function Virtualization (NFV) Mobile Edge Computing (MEC) Device-to-Device(D2D) communication

Related works Fifth generation wireless systems (5G) In March 2015 the NGMN 5G White Paper was published: A global initiative has delivered key end-to- end operator requirements intended to guide the development of future technology platforms and related standards, create new business opportunities and satisfy future end-user needs.

Related works (cont’d) KPI :key performance indicators

Related works (cont’d) Network Function Virtualization (NFV) NFV provides the fixed network functions by means of software run on a virtualized environment which increases the flexibility of the overall system.

Related works (cont’d) Mobile Edge Computing (MEC) mobile as a service consumer (MaaSC) mobile as a service provider (MaaSP) mobile as a service broker (MaaSB) mobile as a representer (MaaR) Mobile Cloud Computing: Foundations and Service Models, p95, Figure 4.2

Propose system We present a frame work for the 5G cellular system based on D2D communication and Multi- level cloud units at the edge of the network

Propose system (cont’d) Part one: Cloudlet Tier: Ordinary Device (OD) Sensing Device (SD) Master Device (MD) Gateway Device (GD) GD is a wireless device with a powerful hardware capable of providing some computing processes.

Propose system (cont’d) Part two: Micro-cloud Tier: Micro-cloud unit is a small data centers with limited processing and storage capabilities connected to the eNB through a very high speed fiber cables. Evolved Node B (eNB): eNB is a complex base station that handles radio communications with multiple devices in the cell and carries out radio resource management and handover decisions.

Propose system (cont’d) Part three: Mini-cloud Tier: Mini-cloud unit consists of powerful data centers that can serve, monitor and control the connected Micro- cloud units. Without the existence of Mini-cloud unit, the unperformed tasks at Micro-cloud units would be shifted far to the main central clouds passing through the core network.

Propose system (cont’d) Part Four: Main cloud Tier This main cloud unit acts as the gateway to the Internet public clouds (e.g., Microsoft Azure, Amazon Elastic Compute Cloud (EC2) and Google AppEngine).

Propose system (cont’d) These benefits can be summarized in the following points: Reduction of the traffic load in the core network Reduction of round trip latency Reduction of network congestion Achieving higher throughput Increasing energy efficiency Better cell coverage Increasing the spectral efficiency

Simulation and Result The system simulation is built with Java language and implemented using Matlab R2015b In order to evaluate the system performance, we consider four simulation scenarios: Scenario (A): the network is simulated without D2D communication and the multi-level clouds. Scenario (B): the network is simulated with the employment of D2D communication

Simulation and Result (cont’d) Scenario (C): through this scenario we employ the Micro-cloud tier. Scenario (D): In this scenario we simulate the system with the existence of Mini-cloud unit connected to Micro-cloud unit

Simulation and Result (cont’d) The performance metric used in all scenarios is the blocking probability ( 𝑃 𝑏 ), which is presents the ratio of the overall rejected work load to the total workload.

Conclusions Simulation results illustrate that the worst case is the employment of the network without D2D and cloud levels. The best case is when employing D2D with all levels of cloud units.

Future work Our future vision is to comprise the SDN and NFV to the core of the network of the proposed system.

Reference A. A. Ateya, A. Muthanna and A. Koucheryavy, "5G framework based on multi-level edge computing with D2D enabled communication," 2018 20th International Conference on Advanced Communication Technology (ICACT), Mumbai, 2018, pp. 507-512. A. A. Ateya, A. Vybornova, R. Kirichek and A. Koucheryavy, "Multilevel cloud based Tactile Internet system," 2017 19th International Conference on Advanced Communication Technology (ICACT), Bongpyeong, 2017, pp. 105- 110. A. A. Ateya, A. Vybornova, K. Samouylov and A. Koucheryavy, " System Model for Multi-level Cloud Based Tactile Internet System, " 2017 15th International Conference on Wired/Wireless Internet Communications(WWIC), St. Petersburg, 2017, pp. 77-86. NGMN Alliance, NGMN 5G White Paper, March 2015 [Online]. Available: https://www.ngmn.org/5g-white-paper/5g-white-paper.html