5G offers the potential for creating new revenue streams for enterprises across different industries. Network slicing has emerged as a crucial innovation that can unlock this potential. Network slicing facilitates the creation of custom virtual networks within the same physical infrastructure. Unlike traditional networks, which operate on a one-size-fits-all model, network slicing allows telecom operators to tailor distinct virtual networks to suit specific business use cases. This transformation is essential in addressing the diverse needs of modern applications, where varying requirements for latency, bandwidth and security have outgrown the capabilities of conventional infrastructure. Some of the major benefits of network slicing for communications service providers and their customers include granular monetisation, improvement of operational efficiency as outages in one slice do not affect others, reduction in expenditure as there is no need to build multiple private networks, and enhanced security owing to data isolation.
Fostering a robust ecosystem for network slicing relies on several technological enablers, such as software-defined networking (SDN), network function virtualisation (NFV) and dynamic spectrum sharing. SDN centralises network control, allowing telecom operators to manage and configure multiple slices of the network simultaneously. This simplifies resource allocation and network operation, making it possible for operators to easily adjust slices according to the application’s needs. SDN’s modular and programmable infrastructure provides the flexibility required to deliver custom virtual networks, which is at the heart of network slicing. NFV complements SDN by replacing traditional hardware-based network functions with software-based solutions. This enables telecom providers to create, deploy and adjust network slices rapidly and efficiently. Meanwhile, dynamic spectrum sharing enhances the adaptability of network slicing by allowing it to operate seamlessly across both 4G and 5G networks.
This ensures that users in areas with limited 5G coverage, such as rural or less developed regions, can still enjoy
reliable connectivity.
Another key enabler of network slicing is edge computing, which brings processing closer to data sources. This is especially beneficial for applications requiring low latency, such as real-time analytics and interactive services. Edge computing relies on SDN for incorporation and coordination of cloud servers with edge nodes, and NFV for moving network functions and applications across edge nodes and cloud servers. Together, these technologies create pathways enabling edge computing to be flexible, responsive and efficient.
In addition, cloud technology is essential for scaling network slicing to accommodate varying demands. Telecom operators can dynamically allocate resources based on user demand, which is especially valuable during peak usage periods. For instance, at large-scale events such as sports games or music festivals, network slices can be expanded temporarily to handle thousands of additional users. This ensures that operators can offer a high quality experience without needing to over-provision resources, which would be inefficient during non-peak times.
Artificial intelligence (AI) and machine learning (ML) further augment network slicing by offering insights that improve management and performance. These technologies can dynamically analyse traffic patterns, predict peak usage times and optimise slice performance based on user demand. Moreover, ML provides continuous monitoring and analysis, helping telecom operators fine-tune slices for more efficient resource utilisation and improved service quality.
Blockchain technology adds another layer of security to network slicing by decentralising the management of network slices. This is particularly important for ensuring data integrity by isolating slices, and securing communication between slices. Blockchain’s ability to create immutable records and prevent unauthorised access ensures that sensitive data, especially in regulated industries, remains secure.
Use cases across industries
One of the most promising use cases for network slicing is in healthcare, where it enables reliable, low-latency connections essential for telemedicine, remote diagnostics and robotic-assisted surgeries. For example, telemedicine applications benefit from dedicated slices that ensure high quality video consultations with minimal lag, allowing doctors to diagnose and treat patients in real time, even across long distances. Low-latency slices are particularly critical in robot-assisted surgeries, where delays can affect the precision of medical procedures. These slices ensure that surgeons can perform operations securely in remote conditions with real-time feedback and high accuracy, which is vital for the success of such high-stakes procedures.
The automotive sector is undergoing a major transformation with the help of network slicing. Dedicated network slices for autonomous vehicles ensure continuous, low-latency connectivity, which is necessary for real-time data exchange between vehicles and infrastructure (known as “vehicle-to-everything communication”). This data exchange is essential for the decision-making processes in self-driving cars, which must respond instantly to road conditions and traffic. It also helps in managing underwater traffic. For instance, Starhub has implemented dedicated bandwidth slices for maritime operations, ensuring mission-critical communications for safety in high-risk environments, such as those encountered in maritime and military operations.
In the realm of smart cities, network slicing is helping in managing a range of applications, from traffic management to public safety and internet of things (IoT)-enabled services. For instance, critical emergency services can operate on one slice while other non-urgent functions, such as waste management or traffic light systems, can run on separate slices. This ensures that emergency services such as ambulances or fire trucks always have access to an uninterrupted network, even when other parts of the city experience network congestion.
Network slicing is particularly advantageous in entertainment, especially in areas such as augmented reality (AR) and virtual reality (VR), where high bandwidth and low latency are essential for delivering immersive experiences. This set-up allows high-bandwidth services such as mobile gaming, video streaming and videoconferencing to operate without disruptions, even during peak network traffic.
In industries where reliability and security are paramount, such as in defence and critical infrastructure, network slicing ensures that vital communication channels remain unaffected by general traffic. For example, network slicing allows dedicated communication for military personnel, emergency responders and other essential services. In Norway, Ice has deployed a slice dedicated to the Norwegian Armed Forces, ensuring that communication remains secure and uninterrupted during national defence operations. Isolating critical communications within their own slices enhances both security and
reliability, which is essential for mission-critical applications.
Challenges and considerations
Implementing network slicing is not without its challenges. In multitenant environments, where different users share the same physical infrastructure, ensuring security and data integrity is critical. Network slices must be carefully isolated to prevent any breaches from affecting multiple users. If the isolation between slices is compromised, sensitive data could be exposed or tampered with. This is particularly concerning in industries such as healthcare, where confidentiality is paramount.
The complexity of network slicing also brings about interoperability challenges. Ensuring smooth functionality across different types of devices and network environments requires careful planning and adherence to industry-wide standards. Sharing resources is another challenge that slice tenants often face. While work is under way to establish these standards, the dynamic nature of network slicing means that telecom operators must be proactive in integrating different devices and ecosystems into their slicing frameworks.
Regulatory issues also add complexity to network slicing. As policies surrounding data privacy, security and network management evolve, telecom operators must remain agile to comply with new rules. As new regulations are introduced, operators must adapt their network slicing strategies to ensure that they meet legal and security requirements, which will vary across regions and industries.
Future outlook
Looking to the future, the potential for network slicing will expand significantly with the arrival of 6G technology. Expected to offer ultra-high speeds, low latency and support for more advanced applications, 6G will drive the need for even more advanced network slicing capabilities. These developments will pave the way for holographic communications and multi-sensory experiences, all of which demand near-zero latency and extremely high speed connectivity.
The future of network slicing may also include more autonomous, AI-driven slices that can self-heal and self-optimise. As AI and ML technologies evolve, network slices could automatically detect and resolve issues without human intervention.
This would enhance network reliability and resilience, allowing operators to handle large volumes of dynamic network traffic seamlessly.
As 6G and AI-driven network slicing gain traction, the potential applications of network slicing will only grow. With the rise of IoT-enabled smart factories and real-time communication in logistics, retail and finance, network slicing will be essential to support the growing demand for fast, reliable and secure services. For example, AI-enhanced network slices could transform supply chain management by providing real-time tracking of shipments and inventory, improving data security and ensuring compliance with regulatory standards. In sum, the future of network slicing has quite a few exciting opportunities.
