Sparse Resource Mapping for 5G Non-Orthogonal Access
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Solution Overview
Problem
Current non-orthogonal multiple access technologies, such as NOMA, face limitations in supporting continuous coverage, high-capacity hotspots, and low-latency access in 5G networks due to the limited capacity of orthogonal resources, necessitating innovative resource mapping methods.
Innovation Solution
The introduction of a sparse mapping pattern in resource mapping, where modulation symbols are mapped to only some resource units within a mapping unit, allowing for flexible allocation and improving data demodulation efficiency, along with the use of signaling and pilot indications to manage mapping patterns dynamically.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If orthogonal multiple access technology is used, then resource allocation is simple and interference is reduced, but the quantity of accessed code words is limited by orthogonal resources
Solution Approach 1:
The patent changes the resource mapping parameter from sequential to sparse mapping, where modulation symbols are mapped to specific resource units according to a sparse mapping pattern rather than consecutively. This parameter change enables non-orthogonal multiple access to support more code words by efficiently utilizing available resources without increasing system complexity
Solution Approach 2:
The patent introduces dynamic resource mapping patterns that can be adaptively selected based on channel conditions and traffic requirements. The sparse mapping pattern allows the system to dynamically adjust resource allocation efficiency, enabling flexible support for varying numbers of code words while maintaining manageable complexity
2Device complexity
If sequential mapping of modulation symbols is used, then resource mapping is simple, but resource allocation flexibility and data demodulation efficiency are limited
Solution Approach 1:
The patent changes the mapping parameter from sequential to sparse mapping, defining a sparse mapping pattern that maps modulation symbols to specific resource units with gaps. This parameter change provides flexible resource allocation by allowing certain resource units to be skipped or reserved, improving adaptability while maintaining manageable mapping complexity through standardized patterns
Solution Approach 2:
The patent segments the resource units into mapping units, where each mapping unit contains multiple resource units and a sparse mapping pattern is applied within each mapping unit. This segmentation enables flexible resource allocation at the mapping unit level while keeping the actual mapping operation simple and standardized within each segment
3Productivity
If non-orthogonal multiple access is implemented, then capacity for massive connections is improved, but resource mapping and demodulation complexity increases
Solution Approach 1:
The patent changes the resource mapping parameter to sparse mapping, which improves resource utilization efficiency and enables support for more code words in non-orthogonal multiple access. The standardized sparse mapping pattern maintains manageable demodulation complexity by providing a regular, predictable structure that receivers can efficiently process
Data Source
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Figure 2
Figure 3a~3f
AI summary
Embodiments of the present invention provide a resource mapping method. The method includes: obtaining a modulation symbol generated based on M code words, where M is a positive integer greater than or equal to 1; mapping the modulation symbol generated based on the M code words to a time-frequency resource in one or more mapping patterns, where the mapping pattern is a pattern of mapping every Q modulation symbols to one mapping unit, the mapping unit includes F resource units, F is a positive integer greater than or equal to 1, Q is a positive integer meeting 1 ≤ Q ≤ F, the mapping pattern includes a sparse mapping pattern, and the sparse mapping pattern is a mapping pattern meeting F ≥ 2 and 1 ≤ Q < F; and sending the mapped modulation symbol generated based on the M code words.