Uplink Frequency Hopping Pattern Segmentation for Signal Conflict Reduction
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Solution Overview
Problem
When multiple user equipment (UEs) simultaneously transmit uplink signals using the same frequency hopping pattern, conflicts occur, affecting signal transmission.
Innovation Solution
Implementing a communication method that utilizes multiple candidate frequency hopping patterns, allowing overlap between them, to increase the number of available patterns and reduce conflicts during signal transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If multiple UEs use the same frequency hopping pattern for uplink signal transmission, then the system can maintain simple frequency allocation, but conflicts occur between simultaneous transmissions affecting signal quality
Solution Approach 1:
The frequency hopping pattern is segmented into multiple frequency hopping units, where each unit can be independently selected from K candidate patterns. This segmentation allows the system to maintain simplicity at the basic unit level while providing diversity at the pattern level, reducing conflicts between simultaneous transmissions.
Solution Approach 2:
The patent introduces K as a parameter representing the number of candidate frequency hopping patterns, where K > 1. By changing this parameter, the system can dynamically adjust the number of available patterns to balance between complexity and transmission reliability based on network conditions.
2Reliability
If K candidate frequency hopping patterns are used with overlap allowed, then the quantity of available patterns increases reducing conflict probability, but the complexity of pattern selection and management increases
Solution Approach 1:
The patent enables dynamic selection of frequency hopping patterns from K candidates based on real-time network conditions and UE requirements. The overlapping design of candidate patterns allows flexible adaptation without requiring complex exclusive resource management, balancing reliability improvement with manageable complexity.
Solution Approach 2:
The K candidate frequency hopping patterns are designed to be universally applicable across multiple UEs and transmission scenarios. By allowing overlap between candidate patterns, the same set of K patterns serves multiple purposes and multiple UEs simultaneously, reducing the need for UE-specific complex pattern management.
3Productivity
If L frequency hopping units are included in each candidate pattern, then the granularity of frequency allocation is increased improving resource utilization, but the complexity of resource mapping increases
Solution Approach 1:
Each frequency hopping pattern is divided into L frequency hopping units, creating a hierarchical structure that improves resource utilization granularity. This segmentation allows precise control over resource allocation while maintaining a standardized mapping process that limits complexity growth.
Solution Approach 2:
The patent introduces the dimension of L frequency hopping units within each pattern, adding granularity without increasing the top-level pattern count K. This dimensional approach allows independent optimization of resource utilization (through L) and conflict reduction (through K) without compounding complexity.
Data Source
AI summary
A communication method includes receiving first data from a network device or a terminal device, and demapping the first data based on a first frequency hopping pattern. The first frequency hopping pattern is one of K candidate frequency hopping patterns. One candidate frequency hopping pattern in the K candidate frequency hopping patterns includes L frequency hopping portions. At least two candidate frequency hopping patterns in the K candidate frequency hopping patterns include a same frequency hopping portion, K is an integer greater than 1, and L is an integer greater than 1.