Non-Orthogonal Spreading for Wireless Terminal Access
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Solution Overview
Problem
Current wireless communication systems, such as LTE, face limitations in accommodating a large number of terminals and providing continuous coverage, large-capacity connectivity, and ultra-low latency due to the limitations of orthogonal multiple access technologies.
Innovation Solution
A data processing method that involves dividing data into layers, performing basic modulation, and using non-orthogonal spreading and superposition techniques to map symbol vectors onto resource elements, allowing for efficient transmission and reception of data across multiple terminals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If orthogonal multiple access technology is used to divide resources in different dimensions, then mutual interference between terminals is reduced, but the quantity of access terminals that can be accommodated is limited by the number of orthogonal resources
Solution Approach 1:
The patent changes the fundamental parameter of resource allocation from orthogonal to non-orthogonal. By allowing terminals to share the same time-frequency resources without strict orthogonality constraints, the system can accommodate more terminals beyond the limited orthogonal resource pool while managing interference through advanced signal processing techniques
Solution Approach 2:
The patent introduces a new dimension in resource allocation by using non-orthogonal spreading codes and superposition principles. Instead of dividing resources in traditional time-frequency dimensions only, the system adds a code domain dimension where multiple terminals can be distinguished through unique non-orthogonal spreading sequences, effectively increasing the capacity dimension
2Ease of manufacture
If simple orthogonal multiple access technology is used, then resource allocation is straightforward, but service requirements such as continuous coverage in large range, large-capacity connectivity in hotspot area, and ultra-low latency access cannot be satisfied
Solution Approach 1:
The patent implements dynamic resource allocation where the network device can flexibly assign non-orthogonal resources to different terminals based on real-time service requirements, channel conditions, and traffic patterns. This dynamic approach allows the system to adapt to varying service demands including continuous coverage, hotspot capacity, and low-latency applications
Solution Approach 2:
The patent segments the resource allocation process into multiple independent dimensions: time resources, frequency resources, and non-orthogonal code resources. This segmentation allows flexible combination and allocation across dimensions, enabling the system to meet diverse service requirements by allocating appropriate resource combinations to different terminals
Data Source
AI summary
The present disclosure discloses a data processing method, a network device, and a terminal. In this method, a transmit end combines basic modulation symbols obtained after basic modulation is performed on all layers of data, to obtain a combined symbol vector X. The transmit end maps the symbol vector X to Q resource elements to obtain a data vector S. A symbol quantity of the symbol vector X is greater than a symbol quantity of the data vector S. The symbol quantity of the data vector S is Q. Q is a positive integer. Therefore, non-orthogonal spreading and superposition transmission of a plurality of terminals can be implemented in both uplink and downlink, thereby effectively improving transmission efficiency.