Multi-Carrier Transport Block Processing for Flexible Scheduling
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Solution Overview
Problem
The bit-level processing process in existing technologies is not suitable for scheduling scenarios involving multiple carriers, as parameter values for single-carrier and multi-carrier systems differ, leading to inefficiencies.
Innovation Solution
A multi-carrier data processing method and apparatus that processes transport blocks across multiple carriers by receiving and processing parameter information including modulation orders, coding rates, and MIMO transmission layers, allowing for flexible scheduling and efficient resource utilization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the existing bit-level processing process is used for single-carrier transmission, then the processing is simple and unique, but it cannot be applied to multi-carrier scheduling scenarios where parameter values differ across carriers
Solution Approach 1:
The patent applies local quality by allowing different parameter values (modulation order, coding rate, number of transmission layers) to be assigned to different carriers within the same transport block. Each carrier can have its own parameter configuration optimized for local channel conditions, while the overall processing framework remains unified. This resolves the contradiction by enabling multi-carrier adaptability without requiring completely separate processing pipelines for each carrier.
Solution Approach 2:
The patent introduces dynamic parameter selection where the network can flexibly configure different parameters for different carriers based on real-time channel conditions. The bit-level processing adapts dynamically to the specific parameter combinations of scheduled carriers, allowing the system to transition between single-carrier and multi-carrier modes and to adjust parameters dynamically without fixed constraints.
2Productivity
If different parameter values are assigned to different carriers in multi-carrier scheduling, then resource utilization efficiency improves, but the bit-level processing process becomes inapplicable and requires redesign
Solution Approach 1:
The patent creates a universal bit-level processing framework that can handle both single-carrier and multi-carrier scenarios. The same processing structure is used regardless of whether one or multiple carriers are scheduled, with the flexibility to accommodate different parameter configurations. This multi-functional approach enables improved resource utilization through multi-carrier scheduling while avoiding the need for separate processing pipelines, thus preventing excessive complexity increase.
Solution Approach 2:
The patent leverages parameter changes by allowing the system to flexibly adjust modulation order, coding rate, and number of transmission layers across different carriers. These parameter variations are integrated into the bit-level processing through standardized formulas that compute transport block size based on the specific parameter combinations of scheduled carriers, enabling productivity improvement without fundamental processing redesign.
3Adaptability or versatility
If a unified transport block is transmitted across multiple carriers with different parameters, then scheduling flexibility improves, but calculating the transport block size becomes more complex
Solution Approach 1:
The patent applies preliminary action by pre-defining standardized formulas and procedures for calculating transport block size based on carrier parameters. The network determines the parameter configurations for multiple carriers in advance, and the terminal uses these pre-specified parameters along with the standardized calculation formula to derive the transport block size. This preliminary preparation simplifies the actual processing by eliminating the need for complex real-time computations during data transmission.
Solution Approach 2:
The patent introduces an intermediary calculation approach where the transport block size is derived through a standardized formula that acts as a mediator between the different carrier parameters and the final data processing. The formula integrates parameters from multiple carriers (modulation order, coding rate, number of transmission layers, resource block counts) into a unified transport block size calculation, simplifying the complexity by providing a systematic intermediate step rather than requiring direct complex multi-carrier coordination.
Data Source
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AI summary
Provided are a multi-carrier data processing method and apparatus, a terminal and a network device. The method includes: receiving, by the terminal, parameter information transmitted by a network device, where the parameter information includes parameter information corresponding to at least two scheduled carriers, and the at least two scheduled carriers correspond to the same transport block; and processing, by the terminal, the transport block corresponding to the at least two scheduled carriers according to the parameter information, where the parameter information includes at least one of the following: one or more values of modulation orders; one or more values of coding rates; one or more values of numbers of transmission layers; or one or more values of maximum numbers of MIMO transmission layers.