Narrowband IoT Data Transmission Subsequence Segmentation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current coverage enhancement technologies for narrowband IoT systems result in prolonged time spans for data transmission, leading to reduced data combining performance due to the time-varying nature of wireless channels and increased channel changes, which is disadvantageous for fast combining and decoding.
Innovation Solution
A data transmission method and device that selects and forms subsequences from a transport block, repeating them multiple times with digital baseband modulation, ensuring the total number of repetitions meets a preset threshold, thereby enhancing coverage and data combining performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the entire transport block is repeated for coverage enhancement, then coverage is enhanced, but the time span is prolonged causing channel variations and reduced combining performance
Solution Approach 1:
The transport block is divided into multiple subsequences (first subsequence, second subsequence, etc.) rather than repeating the entire block. Each subsequence is transmitted separately with different redundancy versions, achieving coverage enhancement while reducing the time span of continuous transmission.
Solution Approach 2:
Different redundancy versions are applied to different subsequences dynamically. The receiving end can selectively combine subsequences based on channel conditions and decoding progress, adapting to time-varying channel characteristics and improving combining performance.
2Reliability
If the entire transport block is repeated for coverage enhancement, then coverage is enhanced, but data combining performance is reduced due to channel changes
Solution Approach 1:
Dividing the transport block into multiple subsequences allows the receiving end to perform incremental redundancy decoding. Each subsequence carries different redundancy information, enabling more effective data combining even when channel conditions change during transmission.
Solution Approach 2:
Different redundancy versions are used for different subsequences, changing the parameter of redundancy information. This provides diversity against channel variations and improves the effectiveness of data combining at the receiving end.
Data Source
AI summary
A data transmission method includes: selecting a t least a portion of bits from a data buffer of a transport block to form a kth subsequence of the transport block, and forming N subsequences in total; wherein, 1≤k≤N; and repeating the N subsequences of the transport block for T times, performing digital baseband modulation on the N subsequences, and then transmitting the N subsequences; wherein, T is a positive integer, a total number of repetitions of the N subsequences N*T is no less than a preset number of repetitions R, and R is a positive integer.