Layered Synchronization Signal for Robust Communication
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Solution Overview
Problem
Current communication systems face challenges in achieving optimal synchronization performance and estimation due to varying communication situations and environments, as existing synchronization signals have superior or inferior performance based on specific conditions, lacking a technique that consistently exhibits excellent performance across different scenarios.
Innovation Solution
A method and apparatus for transmitting and receiving a synchronization signal with a layered structure, generated by combining synchronization signal components using primary and secondary coefficients, allowing for improved synchronization and estimation performance while maintaining low implementation complexity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a single synchronization signal is used, then the implementation complexity is low, but the synchronization performance varies depending on communication situations and environments
Solution Approach 1:
The synchronization signal is divided into multiple sections, each generated from different synchronization signal components (e.g., Zadoff-Chu sequences with different roots, cyclic shifts, or frequencies). Each section can be independently optimized for specific communication scenarios, allowing the system to achieve reliable synchronization across diverse environments without requiring a completely different signal for each situation.
Solution Approach 2:
The layered synchronization signal structure serves multiple functions simultaneously: it provides time synchronization, frequency synchronization, and enables channel estimation. By combining multiple synchronization signal components in a unified framework, the system achieves universal applicability across different communication situations (e.g., varying channel conditions, mobility scenarios) while maintaining a single implementable signal structure.
2Measurement precision
If synchronization signal components are combined to improve performance, then synchronization and estimation capabilities are enhanced, but the implementation complexity increases
Solution Approach 1:
Different sections of the synchronization signal are designed with different local qualities suited for specific estimation tasks. For example, certain sections may use sequences optimized for time synchronization with high autocorrelation properties, while other sections use sequences optimized for frequency offset estimation. This local optimization enhances measurement precision without requiring complete redesign of the entire signal structure.
Solution Approach 2:
The system combines multiple synchronization signal components, but not all possible components are used simultaneously in every scenario. Instead, the framework allows selective combination of components based on communication needs, achieving sufficient estimation capability without the full complexity of using every possible component. The layered structure enables partial action where only necessary components are activated.
Data Source
AI summary
An operation method of a first communication apparatus may include: identifying one or more synchronization signal components constituting a synchronization signal component set; generating a plurality of synchronization signal sections based on the one or more synchronization signal components and a plurality of primary coefficients corresponding to the one or more synchronization signal components; generating one or more synchronization signal parts based on a combination of the plurality of synchronization signal sections; generating one or more synchronization signals based on a combination of the one or more synchronization signal parts in time domain; and transmitting the generated one or more synchronization signals.