SCMA Relay Node Network Coding Resource Utilization
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Solution Overview
Problem
Current solutions for combining network coding and cooperative communication in wireless relay networks face low transmission efficiency and flexibility, limiting the system's ability to effectively utilize resources and improve signal transmission.
Innovation Solution
The implementation of Sparse Code Multiple Access (SCMA) technology, which allows multiple data streams to share the same transmission resource using SCMA codebooks, enabling efficient network coding and cooperative communication by mapping data directly to multi-dimensional complex vectors for improved resource utilization and decoding processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If network coding and cooperative communication are combined in existing technical solutions, then network capacity and robustness are improved, but transmission efficiency remains low
Solution Approach 1:
The patent changes the parameter representation from traditional binary coding to complex vector domain. By mapping coded bits to multi-dimensional complex vectors with specific magnitudes and phases, the system achieves more efficient resource utilization while maintaining network coding's robustness benefits. The codebook design with optimized vector parameters enables higher transmission efficiency.
Solution Approach 2:
The patent transitions from one-dimensional binary coding to multi-dimensional complex vector space. Each coded symbol is represented as a complex vector with multiple dimensions (magnitude and phase components), enabling richer information representation and more efficient use of transmission resources while preserving the error correction capabilities of network coding.
2Quantity of substance
If network coding and cooperative communication are combined in existing technical solutions, then network capacity is improved, but transmission flexibility is limited
Solution Approach 1:
The patent introduces dynamic adaptability through configurable codebooks that can be selected based on channel conditions and transmission requirements. The system can dynamically adjust the codebook index and vector parameters to optimize performance for different scenarios, providing flexibility while maintaining high network capacity through network coding.
Solution Approach 2:
The patent creates a universal framework that can handle multiple transmission modes and scenarios. The complex vector-based codebook design can accommodate different network coding schemes, cooperative communication patterns, and channel conditions, making the system versatile while preserving the capacity benefits of network coding.
3Ease of manufacture
If traditional coding methods are used in cooperative communication, then implementation is simple, but resource utilization is inefficient
Solution Approach 1:
The patent introduces complex vector codebooks as an intermediary layer between traditional binary coding and physical signal transmission. This intermediary representation enables more efficient resource utilization by mapping coded bits to optimized complex vectors that better exploit the characteristics of wireless channels, while maintaining relative implementation simplicity through pre-defined codebook structures.
Data Source
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AI summary
Embodiments of the present invention provide a data transmission method, including: receiving, by a relay node, information that is about an SCMA codebook used by the relay node and that is sent by a destination node, and receiving two or more source signals sent by two or more source nodes; performing network coding on the received two or more source signals; performing SCMA codebook mapping on a signal obtained after the network coding, so as to obtain at least two modulation symbols; and sending, to the destination node, the at least two modulation symbols obtained after the SCMA mapping.