Metadata Transmission Using Segmented Preambles and Shared Roots
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Solution Overview
Problem
The high reception complexity in 6G mobile communication systems due to the need for extensive correlation operations to separate and detect metadata from multiple terminals using Zadoff-Chu sequences.
Innovation Solution
The method involves segmenting metadata into data segments, determining preamble and root sequences for each segment, and transmitting these sequences to reduce reception complexity by separating the roots of the preamble sequences.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional Zadoff-Chu sequences are used to carry metadata with N bits requiring 2N different sequences, then the metadata can be transmitted, but the base station needs to perform M*CS correlation operations (where M is the number of roots and CS is the number of cyclic shifts), resulting in high reception complexity
Solution Approach 1:
The patent segments the metadata into multiple data segments, where each segment is carried by a separate preamble sequence. This segmentation allows the base station to process each segment independently, reducing the overall correlation operation complexity from M*CS to a more manageable number of operations by grouping sequences with the same root.
Solution Approach 2:
The patent merges multiple preamble sequences that share the same root sequence into a single group. By combining sequences with identical roots, the base station can perform correlation operations more efficiently, reducing the total number of operations required while maintaining the ability to distinguish between different metadata segments.
2Quantity of substance
If multiple different ZC sequences are used to represent N bits of metadata, then the metadata can be fully encoded, but the number of correlation operations required increases significantly
Solution Approach 1:
The patent divides the N-bit metadata into multiple smaller data segments, each encoded by a separate preamble sequence. This segmentation reduces the encoding complexity and allows for more efficient detection by processing smaller units of data independently.
Solution Approach 2:
The patent changes the parameter organization from using 2N different ZC sequences for N bits to using a smaller set of sequences with shared roots. This parameter change reduces the number of correlation operations while maintaining the encoding capacity through a different organizational structure of the sequences.
Data Source
AI summary
Embodiments of the present disclosure provide a metadata transmission method and device, and a storage medium. The method comprises: a terminal determines s preamble sequences carrying metadata and t root sequences corresponding to the s preamble sequences, wherein the metadata comprises s data segments, each data segment corresponds to one preamble sequence, one or more preamble sequences correspond to one root sequence, and t and s are both positive integers; and the terminal sends the s preamble sequences and the t root sequences. The metadata transmission method and device and the storage medium provided by the embodiments of the present disclosure reduce reception complexity by means of the separate transmission of the roots of the preamble sequences.