Reference Signal Frequency Offset Estimation Using Three-Symbol Sets
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Solution Overview
Problem
Existing wireless communication systems face challenges in efficiently estimating frequency offsets of reference signals, particularly in high-frequency bands like mmWave, which affect data transmission quality and reliability.
Innovation Solution
A method and apparatus for estimating frequency offset by selecting three symbols in a slot, calculating an estimation range based on time intervals between these symbols, and identifying the set with the greatest offset for arranging reference signal symbols, using discrete Fourier transform to enhance accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If frequency offset estimation is performed using existing methods in mmWave bands, then data transmission can be maintained, but estimation accuracy is insufficient and ambiguity remains
Solution Approach 1:
The patent segments the frequency offset estimation process into multiple discrete steps: generating candidate sets of three symbols, calculating estimation ranges for each set, identifying the set with the greatest estimation range, and performing final estimation using discrete Fourier transform. This segmentation allows systematic improvement of estimation accuracy while maintaining reliability.
Solution Approach 2:
The patent performs preliminary actions by pre-calculating estimation ranges for multiple candidate sets of three symbols before final estimation. The set with the greatest estimation range is identified in advance, allowing the system to select the optimal configuration for final frequency offset estimation, thereby improving accuracy while managing complexity.
2Device complexity
If the estimation range of frequency offset is limited, then calculation complexity is reduced, but the range of detectable offsets is restricted
Solution Approach 1:
The patent applies dynamics by making the estimation range adaptive rather than fixed. The estimation range is dynamically determined based on the time intervals between selected symbols and the specific candidate set being evaluated. This allows the system to adjust the estimation range to match the actual frequency offset conditions, improving detectability without excessive complexity.
Solution Approach 2:
The patent changes parameters by varying the time intervals between the three symbols in different candidate sets. By selecting sets with different interval configurations, the system can optimize the estimation range for different frequency offset scenarios. The discrete Fourier transform further refines this by providing frequency resolution based on the total time span of the three symbols.
Data Source
AI summary
A method performed by a reception device in a wireless communication system is provided. The method includes generating one or more first sets by selecting three symbols in one slot, the three symbols corresponding to a first symbol, a second symbol and a third symbol, respectively, in an ascending order, for each of the one or more first sets, calculating an estimation range of a frequency offset, based on a first distance corresponding to a time interval between the first symbol and the second symbol and a second distance corresponding to a time interval between the second symbol and the third symbol, identifying, from among the one or more first sets, one or more second sets in which the calculated estimation range of the frequency offset is greatest, and transmitting a signal by arranging a reference signal (RS) symbols for one of the one or more second sets.