5G Network Slicing for Low-Latency Application Delivery
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Solution Overview
Problem
Cloud-based applications over 5G networks often experience quality of service (QoS) degradation due to latency and bandwidth issues, especially with applications like virtual reality (VR) that require low latency and high bandwidth, and these issues are exacerbated by network congestion and user mobility.
Innovation Solution
Implementing 5G network slicing by establishing separate signaling and data flows using ultra-reliable low latency communication (URLLC) and enhanced multimedia broadband (eMBB) slices, where signaling flows are mapped to one set of data radio bearers and data flows to another, ensuring reliable and high-bandwidth connectivity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If cloud-based applications are hosted on remote servers and data is streamed over 5G networks, then application delivery flexibility is improved, but latency increases and QoS degradation occurs
Solution Approach 1:
The patent introduces a 5G network slice as an intermediary layer between the cloud server and user device. This network slice acts as a dedicated communication channel that mediates data transmission, providing low-latency pathways for time-sensitive application data while maintaining the flexibility of cloud-based application delivery.
Solution Approach 2:
The patent segments the 5G network into multiple network slices, with specific slices allocated for different QoS requirements. By dividing the network infrastructure into separate logical channels, the system can simultaneously support low-latency applications and high-bandwidth applications without mutual interference, resolving the latency issue while preserving delivery flexibility.
2Productivity
If network bandwidth is increased to support high-bandwidth applications like VR, then application performance is improved, but network complexity increases
Solution Approach 1:
The patent creates network slices that are universally applicable to multiple applications with similar QoS requirements. A single high-bandwidth network slice can serve multiple VR or multimedia applications simultaneously, providing high performance without requiring separate dedicated infrastructure for each application, thus avoiding exponential complexity growth.
Solution Approach 2:
The patent adds a logical dimension to network management by implementing network slicing. Instead of increasing physical infrastructure complexity, the solution creates virtual network layers that can be dynamically configured and allocated. This dimensional approach allows high-bandwidth applications to receive dedicated resources through logical segmentation rather than physical multiplication.
3Quantity of substance
If network capacity is increased to serve more users simultaneously, then user coverage is improved, but QoS degradation occurs due to network load
Solution Approach 1:
The patent segments network resources into dedicated slices that guarantee minimum QoS levels regardless of overall network load. Each network slice operates as an isolated resource pool with guaranteed bandwidth and latency parameters, ensuring that QoS is maintained for subscribed users even when the total number of users on the network increases significantly.
Solution Approach 2:
The patent provisions network slices with pre-allocated resources and guaranteed QoS parameters before users connect. By reserving capacity in advance and establishing QoS contracts, the system cushions against future load increases and ensures that QoS degradation is prevented even as user quantity grows.
4Ease of manufacture
If network resources are consolidated to reduce infrastructure cost, then deployment efficiency is improved, but QoS differentiation capability deteriorates
Solution Approach 1:
The patent makes the consolidated network infrastructure universally functional by implementing network slicing. A single physical infrastructure can simultaneously provide multiple QoS levels and serve different application types through logical segmentation. This allows the system to maintain deployment efficiency through resource consolidation while preserving full QoS differentiation capability through virtual network layers.
Data Source
AI summary
Example computer-implemented methods, media, and systems for improving experience and performance of applications over 5G networks are disclosed. One example computer-implemented method includes establishing multiple signaling message quality of service (QoS) flows of an application over a communications network. Multiple data message QoS flows of the application are established over the communications network. The multiple signaling message QoS flows are sent to a user device through an ultra-reliable low latency communication (URLLC) slice over the communications network. The multiple data message QoS flows are sent to the user device through an enhanced multimedia broadband (eMBB) slice of the communications network. The multiple signaling message QoS flows are mapped to first multiple data radio bearers (DRBs). The multiple data message QoS flows are mapped to second multiple DRBs. One or more services associated with the application are provided to the user device based on the first and the second multiple DRBs.