Cellular IoT solutions can be significantly boosted with the utilization of Virtualised Packet Gateways as a Service.
In the rapidly evolving world of IoT, a significant breakthrough is on the horizon: the virtualised edge Packet Gateway (P-GW). On 11 September, 2025, a panel discussion will delve into this innovative technology's potential.
Virtualised edge P-GWs offer a game-changing solution for managing IoT traffic in multi-country deployments. By abstracting hardware dependencies and enabling deployment on commodity servers or cloud infrastructure, they localise data traffic management, reducing the distance data must travel. This local breakout significantly improves performance, lowering latency and network congestion, which is crucial for time-sensitive IoT applications across multiple countries.
Key roles and benefits include:
- Local breakout at the network edge: The virtualised edge P-GW processes IoT data traffic closer to where it is generated, rather than routing all traffic back to a centralised core network. This reduces data travel distance and transit time, enhancing responsiveness and efficiency.
- Hardware abstraction and flexibility: By virtualising the P-GW function, operators can deploy it on standard servers or cloud infrastructure without dependency on specific physical hardware. This flexibility enables rapid scaling and easier multi-region deployments.
- Reduced latency and improved quality of experience (QoE): Edge deployment of packet gateways aligns with Multi-Access Edge Computing (MEC) principles, which bring computation and data processing closer to end devices, reducing latency and network congestion. This is important for applications requiring real-time responses in healthcare, finance, telecommunications, and industrial IoT.
- Cost efficiency and scalability: Operating virtualised gateways at the edge reduces reliance on centralised cloud servers, lowering computational and bandwidth costs. It supports geographically distributed IoT deployments by processing data locally and only sending necessary information upstream, optimising network utilisation and scaling efficiently as IoT device numbers grow.
- Enhanced privacy and security: Processing data locally at edge gateways improves privacy control because sensitive IoT data need not traverse wide-area networks or central cloud data centers unnecessarily, decreasing attack surface and exposure risk.
- Improved bandwidth utilisation: By preprocessing and filtering IoT data at the edge, virtualised edge gateways reduce the amount of data transmitted over core networks, ensuring more efficient use of limited network resources across multiple countries.
In summary, a virtualised edge packet gateway enables efficient, low-latency, scalable, and cost-effective management of IoT traffic across multiple countries by bringing critical network functions closer to IoT devices, abstracting hardware complexity, and improving overall network performance and security aligned with modern edge computing frameworks.
Moreover, virtualised edge P-GWs can drastically reduce round-trip delays, which is critical for emerging applications such as augmented reality, autonomous vehicles, and industrial automation. A Packet Gateway (P-GW) is a critical component in mobile core networks, managing subscriber sessions, IP address allocation, and Quality of Service (QoS). Furthermore, virtualised edge P-GWs can support high-bandwidth applications that require high levels of network performance, including network slicing techniques.
Access these innovative solutions via IoT Now. Embrace the future of IoT with virtualised edge P-GWs!
Data-and-cloud-computing technology plays a pivotal role in the virtualised edge Packet Gateway (P-GW), as it allows for deployment on commodity servers or cloud infrastructure for efficient management of IoT traffic in multi-country deployments.
The implementation of virtualised edge P-GWs not only reduces latency and network congestion but also enhances privacy and security by abstracting hardware dependencies, aligning with the principles of edge computing and Cloud Computing.
