General-Purpose Processor Parallel Baseband Data Processing
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Solution Overview
Problem
Existing wireless communication networks face limitations in applying general-purpose parallel data processing algorithms due to reliance on dedicated hardware architectures, which restrict the data processing capacity and increase development overheads.
Innovation Solution
A method and apparatus for parallel data processing that utilizes a general-purpose processor to convert and process baseband data from multiple antennas in uplink transmission, converting time-domain signals to frequency-domain signals and processing them in parallel to restore transmitted code blocks, thereby constructing transmission blocks efficiently.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If dedicated hardware devices (chips, adaptors, accelerators) are used for data processing in wireless communication networks, then data processing capacity is improved, but device complexity and development overhead increase
Solution Approach 1:
The patent applies universality by enabling general-purpose processors to perform wireless communication data processing tasks that were traditionally handled by dedicated hardware. The system allows a single processor architecture to serve multiple functions: general computing tasks and specialized communication protocols (LTE, WiMAX, WiFi), eliminating the need for separate dedicated hardware for each function.
Solution Approach 2:
The patent implements copying by creating virtualized instances of communication processing capabilities through software on general-purpose processors. Instead of physical dedicated hardware for each communication standard, virtual copies of processing functions are created through software layers, allowing multiple virtual processors to handle different communication tasks on shared physical hardware.
2Productivity
If dedicated hardware architectures are used for communication devices, then data processing capacity is improved, but adaptability to different applications and conditions is reduced
Solution Approach 1:
The patent applies dynamics by transitioning from static dedicated hardware configurations to dynamic software-based processing on general-purpose processors. The system can dynamically allocate processing resources, change processing algorithms, and adapt to different communication standards and applications through software updates rather than hardware reconfiguration, enabling real-time adaptability.
Solution Approach 2:
The patent enables a single processor platform to universally handle multiple communication standards (LTE, WiMAX, WiFi) and different application requirements through software implementation, providing both high processing capacity and broad adaptability without requiring separate dedicated hardware for each standard.
3Adaptability or versatility
If general-purpose processors are used for parallel data processing, then adaptability and ease of implementation are improved, but processing speed and real-time performance may be reduced
Solution Approach 1:
The patent applies segmentation by dividing communication data processing into distinct functional stages (physical layer processing, MAC layer processing, network layer processing) that can be independently optimized and executed in parallel on multiple processor cores. This segmentation allows general-purpose processors to achieve high throughput by processing different data segments simultaneously.
Solution Approach 2:
The patent implements continuity of useful action through efficient parallel processing algorithms that keep all processor cores continuously engaged in productive work. The system maintains continuous data flow through the processing pipeline with minimal idle time, ensuring that general-purpose processors achieve real-time performance by eliminating wasted computational cycles.
4Reliability
If dedicated hardware devices are used, then processing reliability is improved, but the need for separate development and maintenance of hardware and software increases
Solution Approach 1:
The patent applies merging by combining hardware and software processing into a unified system where general-purpose processors handle both traditional computing tasks and communication protocol processing. This consolidation eliminates the need for separate dedicated hardware development and maintenance teams, reducing overall system complexity while maintaining reliability through proven processor architectures.
Data Source
AI summary
Various embodiments of the present invention provide a method and apparatus for parallel data processing. In one embodiment of the present invention, there is provided a method for parallel data processing, comprising: receiving baseband data corresponding to multiple antennas from uplink data; converting the baseband data from time-domain signals to frequency-domain signals; processing the frequency-domain signals at least partially in parallel by multiple processing units in a general-purpose processor so as to restore transmitted code blocks; and constructing transmission block (TB) based on the transmitted code blocks. In one embodiment of the present invention, there is provided an apparatus for parallel data processing. By means of the method and apparatus of the present invention, the parallel data processing capacity of a general-purpose data processor may be used to process, in parallel as much as possible, data in uplink data transmission and further improve the receiver operation efficiency.


