DMRS Sequence Group Index for Inter-Cell Interference Reduction
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Solution Overview
Problem
Current New Radio (NR) systems lack effective solutions for reducing inter-cell interference in demodulation reference signals (DMRS) for physical uplink control channels (PUCCH), which affects communication performance.
Innovation Solution
A sequence determining method and apparatus that generates second sequences based on indices of sequence groups, using specific mathematical formulas to reduce cross-correlation between sequences of different lengths, thereby minimizing inter-cell interference.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-affected harmful factors
If sequences of different lengths are used in neighboring cells, then inter-cell interference may be reduced to some extent, but a signal generated based on a relatively long sequence may cause relatively large interference to a signal generated based on a relatively short sequence
Solution Approach 1:
The patent introduces a sequence group index v that determines the length parameter of DMRS sequences. By changing the sequence length parameter based on the index v, the system can adaptively select appropriate sequence lengths for different cells, thereby reducing inter-cell interference while avoiding the problem of long sequences causing excessive interference to short sequences.
Solution Approach 2:
The patent makes the DMRS sequence generation dynamic by introducing the sequence group index v that can take different values (0-29). This dynamic parameter allows the system to flexibly adjust sequence characteristics based on cell-specific conditions, enabling interference mitigation through adaptive sequence selection rather than fixed sequence usage.
2Device complexity
If sequences in the same sequence group are used, then generation is simplified, but there is relatively high cross-correlation between sequences in a same group
Solution Approach 1:
The patent segments the sequence space by dividing all possible DMRS sequences into 30 different sequence groups (indexed v=0 to v=29). Each group contains sequences with specific length characteristics. This segmentation allows the system to select appropriate groups for different cells, reducing cross-correlation between neighboring cells while maintaining simple generation within each group.
Solution Approach 2:
The patent applies local quality by assigning different sequence group indices v to different cells based on their specific conditions. Each cell uses sequences with local characteristics optimized for its environment, where the sequence length and properties are tailored to the specific cell's interference scenario, rather than using a uniform sequence across all cells.
Data Source
AI summary
Embodiments of the present disclosure provide, among other implementations, sequence determining methods. One example method provides a sequence group, and one sequence group number is corresponding to at least two sequences, where one sequence is used for mapping to consecutive subcarriers, and at least one other sequence is used for mapping to equally-spaced subcarriers. In some embodiments of the present disclosure, as high as possible cross-correlation between a sending signal obtained after equally-spaced mapping is performed on a sequence in a sequence group can be determined, and a sending signal obtained after continuous mapping is performed on another sequence in the group.