Sequence-Based Signal Transmission Method for RACH Collision Reduction
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Solution Overview
Problem
The existing number of Zadoff-Chu sequences is limited, leading to an increased probability of RACH signal collisions as more terminal devices access the network, resulting in interference and reduced communication efficiency.
Innovation Solution
A sequence-based signal transmission method that determines a first sequence based on two root indexes and a time domain cyclic shift value, increasing the number of different root sequences to reduce the probability of sequence collisions and interference between terminal devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the number of Zadoff-Chu sequences is increased to support more terminal devices, then the probability of sequence collisions is reduced, but the device complexity and difficulty of sequence management increase
Solution Approach 1:
The patent segments the sequence selection process into two independent stages: first selecting a root index from multiple available root indexes, then selecting a cyclic shift value from multiple cyclic shift values. This segmentation transforms a single complex sequence selection into a two-stage process, increasing the total number of available sequences without requiring manual management of each individual sequence, thus reducing the probability of collisions while maintaining manageable complexity.
Solution Approach 2:
The patent introduces a second dimension (cyclic shift values) to the sequence selection space by combining multiple root indexes with multiple cyclic shift values. This dimensional expansion creates a multi-dimensional sequence space where sequences are identified by pairs of parameters rather than a single parameter, significantly increasing the number of available sequences and reducing collision probability without proportionally increasing management complexity.
2Productivity
If more RACH sequences are used to reduce collision probability, then communication efficiency is improved, but the system requires more sequences than currently available
Solution Approach 1:
The patent merges two independent parameter spaces (root indexes and cyclic shift values) to create a combined sequence space. By selecting one root index from multiple root indexes and one cyclic shift value from multiple cyclic shift values, the system generates a unique RACH sequence for each parameter pair, effectively multiplying the total number of available sequences and improving communication efficiency without requiring new sequence generation methods.
Solution Approach 2:
The patent changes the parameters used to define RACH sequences by introducing dual-parameter identification (root index and cyclic shift value) instead of single-parameter identification. This parameter change allows the system to generate a larger number of distinct sequences from the same base Zadoff-Chu sequence family, increasing the quantity of available sequences and reducing collisions while maintaining compatibility with existing sequence structures.
Data Source
AI summary
A method includes: determining a first sequence based on a first parameter, a second parameter, and a third parameter, where the first sequence is determined based on the third parameter and a second sequence, the second sequence is determined based on the first parameter and the second parameter, the first parameter and the second parameter are root indexes of the second sequence, and the third parameter is a time domain cyclic shift value; and sending a signal based on the first sequence.