GPU-Accelerated 5G NR Baseband Processing for Low-Latency Throughput
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Solution Overview
Problem
Current technologies struggle to meet the requirements of very low latency, very high throughput, and low power consumption in 5G wireless networks, particularly in handling mobile data traffic with existing hardware capabilities.
Innovation Solution
Utilizing graphics processing units (GPUs) for accelerated signal processing in baseband units (BBUs) to implement 5G new radio (NR) physical layer operations, including segmentation of signal processing functions between RUs and BBUs, and managing software kernels to optimize processing efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional CPUs are used for 5G signal processing, then device complexity is lower, but processing throughput is insufficient
Solution Approach 1:
The patent segments the 5G signal processing function into two parts: the Radio Unit (RU) handles radio frequency operations while the Baseband Unit (BBU) handles baseband processing. This segmentation allows the BBU to be equipped with high-performance GPUs for parallel processing without requiring the entire system to be complex, as each component has a specialized function.
Solution Approach 2:
The patent introduces a CUDA kernel-based intermediate layer that acts as a mediator between the traditional CPU and the GPU hardware. This intermediary software layer (using CUDA programming model) enables efficient utilization of GPU parallel processing capabilities while maintaining compatibility with existing signal processing algorithms, thus achieving high throughput without requiring complete hardware redesign.
2Loss of time
If more processing power is allocated to meet low latency requirements, then latency is reduced, but power consumption increases
Solution Approach 1:
The patent changes the fundamental processing parameter from sequential CPU instruction execution to parallel GPU thread execution. By utilizing thousands of GPU cores that can execute multiple threads simultaneously, the system achieves lower latency for 5G signal processing tasks without proportionally increasing power consumption, as GPUs are designed for energy-efficient parallel operations.
Solution Approach 2:
The patent implements preliminary action by pre-configuring the BBU with GPU hardware and CUDA kernels before signal processing begins. The system prepares the parallel processing environment in advance, allowing immediate high-speed processing when 5G signals arrive, thus reducing latency without requiring continuous high-power operation.
3Productivity
If high throughput is achieved through increased hardware capabilities, then data capacity increases, but cost and complexity increase
Solution Approach 1:
The patent makes the BBU hardware universally capable by equipping it with GPUs that can handle multiple 5G signal processing functions simultaneously. The same GPU hardware can process different types of baseband operations (FFT, channel decoding, MIMO processing) through software configuration, eliminating the need for specialized hardware for each function and reducing overall system complexity.
Data Source
AI summary
Apparatuses, systems, and techniques to perform signal processing operations in a fifth generation (5G) new radio (NR) network using one or more parallel processing units (PPUs). In at least one embodiment, one or more PPUs implement signal processing in a baseband unit (BBU) performing 5G NR physical layer operations in a communication network.