AT T will prove 5G using open-source SDN technology: The challenges and opportunities of edge comput

Service Providers (SPs) are currently deploying transformative approaches to provide network functions in appropriate infrastructures (utilizing both centralized and distributed flexible architectural concepts) and thus providing flexible and scalable capabilities according to required use cases and their traffic demands. This flexibility will be achieved using a software defined ecosystem and NFV technologies as well as data path programmability. Target architecture has to be cost and resource efficient as well as auto-managed and flexible. A large adoption of cloud computing, software defined networks and network functions virtualization require new thinking in various key areas to be able to fully utilize and monetize the capabilities presented: e.g., distributed system architecture and elastic and scalable systems.

AT T will prove 5G using open-source SDN technology | Network World

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Cellular IoT Device Triggering using oneM2M and Rel 15 SCEF: The joint demonstration by Chordant and Definition Networks will showcase the integration of the oneM2M based-IoT platform with a SCEF solution that provides value-added services for IoT devices leveraging 3GPP networks and core services.

According to most industry opinions, 2020 will be a starting point for commercial deployment of 5G network. 5G will not only provide more bandwidth (eMBB, Enhance Mobile Broadband), but also provide a URLLC (Ultra Reliable & Low Latency Communication) and mMTC (Massive Machine Type Communication) to enable the network to have the ability to support connection between IoT (Internet of Things). The 5G network will connect people and dozens of times of population of things which will bring subversive demand to the network. The introduction of virtualization technology is the key to solve the problem. In fact, virtualization technology has been widely used in the IT industry for many years. From now on, the introduction of virtual technology in telecommunications networks will effectively reduce TCO, achieve business innovation and help operators to transform to 5G ready networks. Operators must begin the transition to cloud-based network architectures now to ensure their infrastructure is ready to support new services as they emerge. Operators will begin their 5G journeys from different architectural and technologies as well as varying service capabilities. Many operators are well on their way with network function virtualization (NFV) and programmability (SDN), but others will need to make the transition from a traditional 3G perspective.

The virtualization technology uses a unified hardware pool to enable multiple network elements to share a pool of hardware resources, which will effectively improve the utilization of hardware resources and reduce the cost. NFV network based on cloud technology such as OpenStack, VMWare can realize the integration of IT and CT. Based on large data and AI network automation operation and maintenance, reduce operation and maintenance costs, improve efficiency.

The most attraction of 5G network is rich vertical applications, while it is difficult for traditional networks to provide innovative capabilities to those various applications with agility. Scenario-oriented service provision to industrial customers and segmented markets has become the focus of future business development for operators, which has been added in 5G network standards as one of the most strategic requirements. To adapt to the requirements of the industries and segmented markets in a more flexible and faster manner and to accelerate innovations. As confirmed in the Internet industry, virtualization and cloud technology will bring unprecedented service innovation capabilities to the telecom network.

IT & CT convergence is the target. The short-term goal of network migration is 5G, and ICT convergence is a long-term goal. Virtualization technology will eventually lead to the integration of CT and IT, meanwhile OTT and pipelines will also be fully integrated in the future.

These technologies are or will be introduced into the network. They have proven to be successful technologies in the IT industry, but some adaption is needed to accommodate the special needs of the telecommunications industry.

Telco Cloud. Cloud computing technology has proved to be an effective technology for large-scale application in the IT industry. However, the special needs of the telecom industry for reliability, real-time and large-scale network maintainability need further enhancement of the existing cloud technology. At the present stage, a proprietary NFVI is good for operators to ensure safety and reliability. Of course, in the long run, a private cloud that merges IT and CT services, and even CT services deployed on a shared public cloud, will bring higher efficiency.

Network Slicing. The concept of network slicing allows for easy configuration and reuse of network components and functions in each network slice to meet specific application requirements, so many industry people think that the network slicing is the ideal network architecture in the 5G era. Network slicing technology allows operators to cut multiple virtual end-to-end networks in a hardware infrastructure. Each network slice is logically isolated in devices, access networks, transmission networks and core networks, adapting various types of services and meeting the different needs of the users. For each network slice, the exclusive resources such as network bandwidth, quality of service and security can be fully guaranteed. Due to the isolation between slices, a slice error or failure will not affect the communication of other slices. The advantages of network slice technology make it play an important role in 5G network.

Open API. On a unified cloud platform, both NFVs and OTT applications components run equally. The vertical application components can be integrated together with 4/5G network components into one network slice. In the same slice running on the same platform, vertical application and network components can efficiently communicate and share information through a message bus via an open API. The integration of technology and platform will promote the natural integration of the telecom and IT industries.

Carrier DevOps. With the introduction of cloud technology, this will lead to the scale and complexity of the network increasing dramatically, in turn increasing the complexity of network operation and maintenance (O&M). A rapid and effective network automation tool and processes are urgently needed. DevOps already proved its capabilities in the cloud environment. This is an IT methodology and is a collective term for a group of processes, methods and systems. Its advantage is the tight and organic combination of development and operations, enabling on-time delivery of new software functions and services. DevOps is introduced to the telecoms industry to build an agile operation flow and digital service platform, which can reduce network service time-to-market (TTM), TCO and provide carrier-grade service experience. Carrier DevOps introduces the DevOps methodology, which includes automatic tools and testing, and supports on-demand design, continuous integration (CI) and continuous delivery (CD) capabilities to the 5G E2E slice lifecycle management. Compared with traditional 3GPP Release X to X+1, CI/CD works as a loop to realise real-time service on boarding and reduce service TTM. In addition, based on big data analytics, it supports a policy-driven closed work loop control of design, development, verification and testing, fulfilment and assurance.

Accelerated technology development is leading us towards an AI-driven connected world. Characterized by ubiquitous internet access, self-learning robots, and truly intuitive human-machine interaction, this new world is creating advanced technology capabilities in consumer devices, networks, and applications. Network infrastructure is changing to adapt to 5G, SDN, NFV, cloud native network functions, disaggregation, open source software, AI, machine learning, and distributed computing. These technological advances have changed end-user consumption patterns, and the emergence of a new customer base beyond traditional telecom service providers is creating a new reality for Network Edge Providers (NEPs).

As you may already know, Korea is one of the most connected countries in the world with extremely good mobile network connectivity. SK Telecom is the number one mobile service provider in Korea with a 50 percent market share. SKT has been at the forefront of developing and commercializing advanced wireless technology. For instance, we were the first to commercialize CDMA technology in 1990.

More recently, we were the first to deploy LTE and the LTE advanced network with maximum 375 Mbps, and we are working to develop the 5th generation mobile network technology. SKT has a strong vision to become an Intelligent Platform Company by 2020, focusing on four major platforms: MNO, Lifestyle, Media and Internet of things. In short, we have innovation in our genes.

SDN is an important technology for a network provider like us. We are engaged with the ON Lab at Stanford, which develops ONOS, an open source project to develop a carrier-grade SDN controller. We are happy to announce our simplified open networking architecture (SONA) project will be the core component to connect ONOS to OpenStack via the Neutron API.

RAN slicing is an effective methodology to dynamically allocate networking resources in 5G networks. One of the main challenges of RAN slicing is that it is provably an NP-Hard problem. In this project, we investigate the challenging problem of designing privacy-preserving, low-complexity, near-optimal distributed algorithms for RAN network slicing, where the MVNOs selfishly compete with each other to acquire slices from the telecom operators while minimizing their cost.First, we model the slicing problem as a congestion game, and demonstrate that such game admits a unique Nash equilibrium (NE). Then, we evaluate the Price of Anarchy (PoA) of the NE (i.e., the efficiency of the NE as compared to the social optimum), and demonstrate that the PoA is upper-bounded by 3/2. Next, we propose two fully-distributed algorithms that provably converge to the unique NE without revealing privacy-sensitive parameters from the slice tenants. Moreover, we introduce an adaptive pricing mechanism of the wireless resources to improve the network owner's profit. We evaluate the performance of our algorithms through simulations and an experimental testbed deployed on the Amazon EC2 cloud, both based on a real-world dataset of base stations from the OpenCelliD project. Results conclude that our algorithms converge to the NE rapidly and achieve near-optimal performance, while our pricing mechanism effectively improves the profit of the network owner. 2ff7e9595c