Innovation is the foundation of the digital economy

Open Your Minds & Reimagine the New Telecom Network

Globally, the growth of mobile and IoT devices, the increasing adoption of cloud-based services, and the rise of 5G and other high-speed network technologies are the highest its ever been. These developments are driving the need for telecom operators to transform their networks to support the growing demand for data, enable more flexible and scalable services, and enhance the customer experience. For a seamless and successful transformation that creates pathways to meet the evolving needs of the digital age, join us for two days of discussions around modernizing and updating the traditional telecommunications network infrastructure. Evaluate new technologies and network architectures to support increased data traffic, enable faster and more reliable connectivity, and provide new services and business models. Plan now to attend to find all the knowledge and insights you need in this rapidly evolving field. Expand your network by meeting other industry professionals, thought leaders, and business partners. Register today!

2023 TOPICS

Cloud Network Integration & Cloud Native

Are you looking to create a more agile, responsive, and efficient network architecture? This exciting session on Cloud Network Integration is an important trend in networking that reflects the increasing importance of cloud computing in telecom environments. By integrating cloud and network technologies, telecom operators can achieve greater efficiency, scalability, and agility, enabling them to fully meet the needs of their business and customers. This session will also cover the use of cloud-native technologies to build and deploy network infrastructure that is highly scalable, agile, and resilient. This approach enables telecom operators to deploy new services and features quickly and to respond rapidly to changing market conditions and customer demands.

• Navigating the process for integrating cloud computing technology into the traditional network infrastructure to create a more agile and responsive network architecture.
• How to leverage cloud services and infrastructure to support network functions and services, such as network management, security, and application delivery.
• Technical issues and challenges around integrating cloud services with traditional network infrastructure.
• Key technologies used in cloud network integration include software-defined networking (SDN), network function virtualization (NFV), and application programming interfaces (APIs).
• Enabling the automation of network resource provisioning and management and integrating cloud services and applications into the network.
• Minimizing dedicated hardware while achieving greater scalability and flexibility by virtualizing network functions such as virtual routers, firewalls, and load balancers and running them in the cloud.
• Improving network efficiency by centralizing management and orchestration platforms for telecom networks, allowing them to manage their network resources and automate network functions efficiently.
• Building and deploying telecommunications network infrastructure using cloud-native technologies and architectures.
• Cloud-native technologies and principles, such as containerization, microservices, and DevOps, to create a more flexible, scalable, and efficient network infrastructure.
• Designing the network for cloud-based services and applications to support the unique requirements of a cloud-based environment, such as high availability, elasticity, and scalability.
• Programming network functions, such as call routing, session management, and media processing, to run as microservices on a cloud-based platform.
• Role of containers and orchestration using container platforms like Kubernetes to deploy microservices.
• Cloud-native technologies to quickly scale up or down network resources as required by the changing demand.
• Creating cloud-native telecom networks to be highly resilient, with built-in mechanisms for fault-tolerance and self–healing.
• Infusing agility into cloud-native telecom networks to quickly develop and deploy new services and features and can rapidly respond to changing market conditions and customer demands.
• Reducing infrastructure and operational expenses by taking advantage of the economies of scale and the automation provided by cloud platforms.
• Deploy cloud-based CRM applications to manage customer interactions, improve customer service and satisfaction, provide new services, and enhance existing ones.
• Cloud-base storage for cutting the cost and complexity of managing physical storage devices and improve their ability to handle large volumes of data, such as call records and customer information.
• Using cloud-based analytics to improve the overall performance and reliability of the network, identify and resolve issues quickly, and analyze network data in real-time, providing insights into network performance and customer behavior.

Mobile Edge Computing (MEC)

MEC is an emerging technology that is critical in developing next-generation mobile networks. By enabling the processing and storage of data at the network's edge, MEC can provide a range of benefits, including faster response times, improved network efficiency, and new opportunities for service innovation and revenue generation.

• Explore the networking technologies that enable the processing and storage of data closer to end-users, typically at the edge of the network, rather than relying on centralized data centers.
• Designing the MEC to improve mobile networks' performance, efficiency, and reliability, particularly for latency-sensitive applications such as augmented and virtual reality, online gaming, and real-time video streaming.
• Leveraging the processing power and storage capabilities of nearby devices, such as smartphones, tablets, and other IoT devices, to perform computational tasks and data processing.
• Reducing the latency and bandwidth required for transmitting data to centralized data centers, resulting in faster response times and more efficient network usage.
• Role of software-defined networking (SDN) and network function virtualization (NFV) technologies to allocate resources and manage network traffic in real time.
• Creating a MEC platform for deploying new services and applications, such as edge-based analytics, location-based services, and intelligent traffic management.

Autonomous Network & AI

By operating and managing itself with minimal human intervention, Autonomous Network leverages AI to provide significant benefits, including improved network performance, reliability, security, reduced operational costs, and increased agility. This exciting session explores the combined use of software-defined networking (SDN), network function virtualization (NFV), and artificial intelligence (AI) technologies to enable self-configuration, self-optimization, self-healing, and self-protection.

• Critical role Artificial intelligence plays in enabling an autonomous network. How are Machine learning algorithms used to analyze network data, identify patterns, and make decisions about network configuration, optimization, and security? How can networks adapt to changing conditions, anticipate potential problems, and take corrective actions to prevent or minimize disruptions?
• Case studies of how AI is being used in an autonomous network.
• Predictive maintenance: Using AI algorithms to predict when network devices or components are likely to fail, allowing proactive maintenance and reducing downtime.
• Dynamic traffic engineering: Using AI to optimize traffic routing based on real-time traffic data to reduce congestion and improve network performance.
• Threat detection and mitigation: Using AI to detect and respond to security threats in real time, preventing attacks and minimizing their impact.

Deterministic Networking (DetNet)

In the telecom industry, Deterministic Networking (DetNet) has the potential to provide significant benefits, particularly in the areas of 5G and edge computing. With the growth of 5G, there is a need for more reliable and deterministic packet delivery, especially in applications that require low latency and high availability, such as autonomous vehicles and smart cities. DetNet can provide deterministic packet delivery in these applications, reducing latency, improving reliability, and enabling new use cases.

In addition, edge computing, which involves processing data closer to where it is generated, is becoming increasingly important in the telecom industry. However, the deployment of edge computing can pose challenges to network reliability and determinism due to the distributed nature of the network. DetNet can help address these challenges by providing deterministic packet delivery, ensuring that packets are delivered within a predictable and bounded time, even in a distributed network.

Learn how DetNet can also enable new services and applications in the telecom industry, such as network slicing, which involves dividing a single physical network into multiple virtual networks that can be optimized for specific use cases, such as IoT or video streaming. DetNet can provide deterministic packet delivery in each slice, which can help to ensure that each slice meets its specific requirements for reliability and latency.

By attending this session, you can dive deeply into an essential technology for the telecom industry, particularly in 5G and edge computing. DetNet can enable new use cases and applications by providing deterministic and reliable packet delivery, improving network reliability and performance, and helping telecom operators remain competitive in a rapidly evolving market.

SRv6, 5.5G/6G, and the future development of NFV technology

SRv6, 5.5G/6G, and the future development of NFV technology are three critical concepts likely to significantly impact the telecom industry in the coming years.

• Learn how SRv6, or Segment Routing with IPv6, as networking technology, is enabling packet forwarding by encoding routing information in the packet header. Understand how SRv6 provides a flexible and scalable approach to traffic engineering, network programming, and service chaining, which can help telecom operators to optimize their network infrastructure and improve service delivery to customers.
• Discover 5.5G/6G, the next generation of cellular network technology, which is expected to provide even higher data rates, lower latency, and more reliable connectivity than current 5G networks. These technologies will likely enable new use cases and applications, such as augmented reality, autonomous vehicles, and remote surgery, requiring ultra-reliable and low-latency connectivity.
• Get an update on NFV, or Network Functions Virtualization, the technology that allows telecom operators to replace traditional network appliances, such as routers and firewalls, with software-based virtual network functions (VNFs) that can be deployed on standard hardware. NFV can help reduce network infrastructure's cost and complexity, increase flexibility and agility, and enable the rapid deployment of new services. Find out how the future development of NFV technology will likely focus on integrating advanced networking technologies, such as SRv6 and 5.5G/6G, on providing even more flexible, scalable, and efficient network infrastructure. This integration will likely enable new use cases and applications, such as network slicing, edge computing, and IoT, requiring a more dynamic and distributed network architecture.
• Explore how SRv6, 5.5G/6G, and the future development of NFV technology will likely play a significant role in shaping the future of the telecom industry. By leveraging these technologies, telecom operators can optimize their network infrastructure, provide new and innovative services to customers, and remain competitive in a rapidly evolving market.

Software-Defined Wide Area Network (SD-WAN)

Software-Defined Wide Area Network (SD-WAN) is an innovative networking technology that telecom operators are increasingly using to optimize their network infrastructure and improve service delivery to customers. This session explores the SD-WAN approach of allowing telecom operators to use a mix of network connectivity options, such as MPLS, broadband internet, and LTE, to create a virtualized network that can be centrally managed and optimized for performance and cost-effectiveness. Attendees can learn about current and future developments around SD-WAN architecture, which consists of two primary components: the SD-WAN controller and the SD-WAN edge devices. Get the latest information on the SD-WAN controller's role in managing the virtualized network, which includes defining network policies, monitoring network performance, and dynamically routing traffic based on real-time conditions. Learn what's new with SD-WAN edge devices for connecting to the underlying physical network, enforcing network policies, and providing secure connectivity to end-users. Other topics to be addressed:

• Improving network performance: how SD-WAN can help optimize network traffic, reduce latency, and ensure critical applications receive priority bandwidth.
• Increasing flexibility: what SD-WAN allows telecom operators to do (using a mix of connectivity options) to adjust dynamically based on network conditions and customer requirements.
• Enhancing security: what built-in protection features does SD-WAN offer, such as encryption and firewalling, which can help secure network traffic and protect against cyber threats?
• Reducing cost: ways that SD-WAN can reduce the cost of network connectivity by leveraging low-cost broadband internet connections while also optimizing network usage to minimize unnecessary bandwidth usage.
• Get the full scope of SD-WAN as a powerful technology that can help telecom operators to optimize their network infrastructure and improve the quality of service delivery to customers. By leveraging the benefits of SD-WAN, telecom operators can create a more flexible, secure, and cost-effective network infrastructure that can adapt to changing customer needs and business requirements.

Lossless Network, DPU (Data Processing Unit), and Open Source Ecological Sonic

Lossless networks, Data Processing Units (DPU), and Open Source Ecological Sonic are three important concepts in modern telecom networks that aim to improve network performance, reduce latency, and increase scalability. Here's what you can expect to learn from this session:

• How a lossless network is designed to prevent packet loss and ensure that all data transmitted over the network is delivered intact and in the correct order. What are techniques used to achieve this, such as congestion control and flow control, to manage network traffic and prevent congestion?
• Specialized hardware components of Data Processing Units (DPUs) that are designed to accelerate data processing and offload processing tasks from a server or network device's central processing unit (CPU). Why are DPUs becoming increasingly crucial in telecom networks, and how are they helping to improve network performance and reduce latency by offloading tasks such as packet processing, encryption, and compression?
• The design of Open Source Ecological Sonic as an open-source software-defined network (SDN) controller to provide scalable and flexible network control for large-scale data centers and telecom networks. How Open Source Ecological Sonic is built on top of the popular SDN protocol OpenFlow to provide a range of features, such as network virtualization, traffic engineering, and network analytics, to enable network operators to optimize network performance and reduce operating costs.
• New trends and developments with the integration of lossless networks, DPUs, and open-source software in telecom networks that promises to improve network performance, reduce latency, and increase scalability.
• Technical issues and considerations for successful implementation of lossless networks and DPUs by telecom providers to ensure that data is transmitted quickly and reliably. At the same time, open-source software such as Open Source Ecological Sonic can provide a flexible and scalable network control solution that can be customized to meet the specific needs of a telecom network.

Zero Trust and Secure Access Service Edge (SASE)

Zero Trust and Secure Access Service Edge (SASE) are two crucial concepts in network security increasingly used in the telecom industry to protect against cyber threats and secure access to network resources. Attending this session provides you with insight on:

• Zero Trust is a security model that assumes that all users, devices, and applications are untrusted and must be authenticated and authorized before granting access to network resources. In a Zero Trust model, access control decisions are made based on contexts, such as user identity, device posture, and network location, rather than solely on network perimeter defenses. This approach helps to minimize the attack surface and reduce the risk of data breaches and cyber-attacks.
• Secure Access Service Edge (SASE) is a security framework that combines the functionality of multiple security technologies, such as firewalls, secure web gateways, and virtual private networks (VPNs), into a single cloud-based service. SASE provides secure access to network resources for remote users and branch offices while enforcing security policies and protecting against cyber threats.
• How Zero Trust and SASE can be used to secure access to network resources and protect against cyber threats, particularly in the case of remote access and cloud-based services. By implementing a Zero Trust model, telecom providers can ensure that only authorized users and devices can access network resources. At the same time, SASE provides a unified and comprehensive security solution that can be easily scaled to meet the demands of a modern telecom network.
• What are the issues to consider for integrating Zero Trust and SASE into telecom networks to improve the security and resilience of telecom infrastructure and enable the delivery of secure and reliable services to customers?

Computing Network Integration

Computing integration in telecom networks refers to integrating computing and telecommunications technologies to create a more efficient and effective network infrastructure. Integrating computing and telecom technologies allows deploying new services and applications previously impossible with traditional telecom networks. This session will address how computing is being integrated into telecom networks.

• Network Function Virtualization (NFV): NFV is a technology that allows telecom service providers to virtualize their network functions, such as routers, switches, and firewalls, and run them on standard computing hardware. By doing so, telecom providers can reduce costs and increase the flexibility and scalability of their network infrastructure.
• Software-Defined Networking (SDN): SDN is a technology that allows network administrators to manage network services through software-based controllers rather than configuring network devices manually. This allows for greater network agility and administrators to provision and configure network services based on changing demands quickly.
• Cloud Computing: Telecom providers increasingly use cloud computing to deliver new services and applications to their customers. Cloud computing allows for the scalable and on-demand delivery of computing resources, such as storage and processing power, which can be used to support various telecom services and applications.
• Edge Computing: Edge computing is a technology that brings computing power closer to the end-users by deploying computing resources at the network's edge rather than in centralized data centers. This can help to reduce latency and improve the performance of applications that require real-time processing, such as augmented reality and virtual reality.

Attending this session provides insight into how computing integration in telecom networks can transform the telecom industry by enabling the delivery of new services and applications that were previously impossible. By leveraging computing technologies such as NFV, SDN, cloud computing, and edge computing, telecom providers can increase their network infrastructure's efficiency, flexibility, and scalability while improving their services' quality and reliability.