Hardware Accelerator Buffer Pool Management for WWAN Latency
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Solution Overview
Problem
Wireless wide area networks (WWAN) face challenges in processing speed and memory performance due to underperforming components in mobile devices, leading to network latency issues.
Innovation Solution
The implementation of hardware acceleration techniques such as early data deciphering, adaptive data aggregation, optimized data path processing, buffer pool management, and keystream processing to enhance processing performance by reducing operations, logic, and latency, and minimizing data copies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If data deciphering is performed before copying to external memory, then processing speed is improved, but hardware complexity increases
Solution Approach 1:
The patent performs data deciphering operations before copying data to external memory, rather than after. This preliminary processing approach ensures that data is decrypted while still in the processor's internal buffers, reducing the need for subsequent processing operations on encrypted data and improving overall processing throughput.
Solution Approach 2:
The patent introduces specialized hardware components including a deciphering engine and buffer pool manager that act as intermediaries between the processor and external memory. These components handle the complex deciphering operations independently, allowing the main processor to continue executing other tasks while maintaining high processing speed.
2Loss of time
If adaptive data aggregation is implemented, then network latency is reduced, but device complexity increases
Solution Approach 1:
The patent implements adaptive data aggregation that dynamically adjusts aggregation parameters based on network conditions, data priority, and current system load. The buffer pool manager continuously monitors queue depths and latency metrics, adjusting aggregation thresholds in real-time to optimize performance without requiring complex manual configuration.
Solution Approach 2:
The system incorporates feedback mechanisms where the buffer pool manager monitors aggregation performance metrics and uses this information to adjust aggregation parameters. This closed-loop control allows the system to automatically optimize latency performance based on actual network conditions while keeping the control logic manageable through standardized feedback processing.
3Productivity
If multiple hardware paths are used for data processing, then processing performance is enhanced, but device complexity increases
Solution Approach 1:
The patent divides data processing into multiple specialized hardware paths including a fast path for already-decrypted data and a slow path for data requiring deciphering. Each path is optimized for its specific function, allowing parallel processing of different data types simultaneously. The segmentation is managed through simple routing logic that directs data based on its encryption state, maintaining low complexity despite multiple paths.
Data Source
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AI summary
A method, a processor, a computer program product and an apparatus are described for providing buffers for a hardware accelerator in a telecommunications device for packetized data. The method comprising providing a dynamic pool of buffers (520) for use by the hardware accelerator (540), wherein access to the pool of buffers (520) is controlled by software (560) in the telecommunications device, wherein the software (560) dynamically adjusts the pool of buffers (520) according to hardware needs indicated by at least one of status signals from the hardware (540) and threshold information on the pool of buffers (520), wherein buffers in the pool (520) are replenished via software control.