CU-UP Kernel-Bypass Packet Processing for Ultra-Low 5G Latency
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Solution Overview
Problem
Existing 5G RAN architectures face challenges in achieving ultra-low latency packet processing due to overheads from in-kernel network stacks, which hinder efficient protocol processing and packet transmission.
Innovation Solution
Implementing packet processing in the CU-UP node as a user-space application with kernel-bypass networking, performing direct I/O operations and utilizing a containerized architecture with multiple worker threads to handle high throughput demands.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If packet processing is performed using in-kernel network stacks, then network processing reliability is maintained, but processing latency increases and throughput decreases
Solution Approach 1:
The patent segments the network processing architecture by separating control plane functions (remaining in kernel space) from user plane packet processing (moved to user space). This segmentation allows packet processing to occur outside the kernel network stack, eliminating kernel overhead and reducing latency while maintaining system stability through the retained control plane.
Solution Approach 2:
The patent extracts packet processing functionality from the kernel network stack and places it in user space applications. This extraction removes the bottleneck of kernel space processing, allowing packets to be handled by optimized user space code paths that can achieve line-rate processing without kernel overhead.
2Productivity
If direct I/O operations are implemented in user space, then packet transmission speed increases, but system stability may be compromised
Solution Approach 1:
The patent introduces a controlled interface between user space packet processing and the kernel network stack. This intermediary mechanism allows user space applications to perform direct I/O operations for high throughput while maintaining proper protocol handling and system stability through the mediating control plane functions that remain in kernel space.
Solution Approach 2:
The patent merges the benefits of user space processing (high throughput, low latency) with kernel space reliability (protocol correctness, system stability) by combining direct I/O operations in user space with controlled plane functions in kernel space, creating a hybrid architecture that achieves both performance and stability.
3Loss of time
If protocol stack processing is performed sequentially, then processing accuracy is maintained, but processing time increases
Solution Approach 1:
The patent implements preliminary action by pre-configuring protocol processing paths and data structures in user space before packet arrival. This allows packets to be processed through pre-compiled and optimized code paths with pre-allocated memory buffers, eliminating runtime overhead and enabling parallel processing of multiple protocol layers simultaneously.
Solution Approach 2:
The patent transitions from sequential single-threaded protocol processing to multi-dimensional parallel processing by implementing multiple worker threads and processing pipelines that can handle different protocol layers concurrently. This dimensional change from sequential to parallel processing dramatically reduces total processing time while maintaining protocol accuracy through independent validation paths.
Data Source
AI summary
In one embodiment, a method is disclosed, comprising: receiving a packet; processing the packet in a Control Unit-User Plane (CU-UP) as a user-space application with kernel-bypass networking; performing packet Input/Output (I/O) by the CU-UP user-space application, wherein the CU-UP performs Internet Protocol (IP) validation on received user-plane packets before processing Packet Data Convergence Protocol (PDCP), Service Data Adaptation Protocol (SDAP) and General Packet Radio Service Tunnelling Protocol (GTPU) protocol stack and performing direct I/O to a Network Interface Controller (NIC) for sending the packet over a network to a Distributed Unit (DU). The method may further comprise using a containerized CU-UP. The method may further comprise using a plurality of worker threads. The method may further comprise using a polling user space networking accelerator framework.