Transport Block Sizing for Buffer-Efficient Reduced-Capability Terminals
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Solution Overview
Problem
Legacy terminal devices with large data rates require large buffers, leading to hardware resource waste in reduced-capability devices with smaller data rates, as existing solutions fail to adjust buffer sizes effectively.
Innovation Solution
Determine a first maximum transport block size based on cache information, ensuring it is less than or equal to the maximum size of a legacy device, and use this to set the buffer size for reduced-capability devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a larger buffer is allocated to terminal devices to accommodate high data rates, then the buffer capacity is sufficient for legacy devices, but hardware resources are wasted in reduced-capability devices with smaller data rates
Solution Approach 1:
The patent applies local quality by determining different maximum transport block sizes for different device types. Reduced-capability devices use a first maximum transport block size calculated based on their specific buffer capacity, while legacy devices use a second maximum transport block size. This ensures each device type receives appropriate buffer allocation matching its actual data rate requirements, eliminating hardware resource waste in reduced-capability devices while maintaining sufficient buffer capacity where needed.
2Device complexity
If a fixed buffer size is used for all terminal devices, then hardware resource allocation is simplified, but reduced-capability devices cannot efficiently utilize their smaller data rates
Solution Approach 1:
The patent applies parameter changes by dynamically adjusting the maximum transport block size parameter based on device type. The network device determines a first maximum transport block size for reduced-capability devices using a specific calculation formula that incorporates their buffer capacity, and a second maximum transport block size for legacy devices. This parameter adaptation allows the system to maintain simple buffer allocation procedures while significantly improving resource utilization efficiency for reduced-capability devices.
Data Source
AI summary
The present application provides a processing method, including: determining a first maximum transport block size according to cache information of service data, where the first maximum transport block size is less than or equal to a second maximum transport block size corresponding to a first device type; determining a buffer size of the service data according to the first maximum transport block size. Since the maximum transport block size is positively correlated with the buffer size of a terminal device, and for a reduced-capability device, the first maximum transport block size is less than or equal to the maximum transport block size corresponding to the first device type, the buffer size set by the reduced-capability device should be less than or equal to the buffer size of a terminal device of the first device type, which can reduce a waste of hardware resources of the reduced-capability device.