Deep Learning Multi-User Detector for Grant-Free Access
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Solution Overview
Problem
Conventional multi-user detectors (MUDs) in grant-free non-orthogonal multiple access (GF-NOMA) systems face high reception complexity and high receiver design costs due to the need for different MUD designs for each non-orthogonal spreading sequence combination.
Innovation Solution
A deep learning-based multi-user detector design scheme that allows data to be received through a single multi-user detection procedure for multiple codebook combinations, reducing the complexity and cost by using a collision-aware multi-user detector with a multi-user shared layer and duplicate user-specific layers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a conventional multi-user detector is designed for each non-orthogonal spreading sequence combination, then detection accuracy is maintained, but receiver design complexity and cost increase significantly
Solution Approach 1:
The patent applies universality by designing a single multi-user detector that can handle multiple non-orthogonal spreading sequence combinations. The detector uses a shared codebook structure that accommodates different codebook combinations without requiring separate detectors for each combination, thereby reducing design complexity while maintaining detection accuracy across various scenarios
Solution Approach 2:
The patent merges multiple detector designs into a single unified detector structure. By combining the detection capabilities for different spreading sequence combinations into one detector with shared components, the system eliminates the need for multiple separate detectors, directly reducing receiver design complexity and cost while preserving detection performance
2Reliability
If different multi-user detectors are implemented for each codebook combination, then detection performance is optimized for each scenario, but implementation cost and complexity increase
Solution Approach 1:
The patent creates a universal multi-user detector that can perform detection across multiple codebook combinations using a single implementation. The shared codebook structure and unified detection algorithm allow the same detector to handle different spreading sequence combinations, eliminating the need for multiple specialized detectors and reducing implementation cost while maintaining detection performance
3Device complexity
If a single multi-user detector is used for multiple codebook combinations, then receiver complexity is reduced, but detection accuracy may deteriorate
Solution Approach 1:
The patent employs parameter changes by dynamically adapting the detector's operation based on the active codebook combination. The system adjusts detection parameters and utilizes channel state information to optimize performance for each specific codebook combination while operating within a single unified detector framework, thereby maintaining detection accuracy without increasing receiver complexity
Data Source
AI summary
A wireless communication system based on grant-free non-orthogonal multiple access is disclosed. A wireless communication system based on grant-free non-orthogonal multiple access (GF-NOMA) according to an embodiment of the present disclosure may include a transmitting unit comprising a plurality of active users transmitting preambles and data in a grant-free manner without granting resources for data transmission, and a receiving unit that receives preambles and data transmitted from the plurality of active users in a grant-free manner, and detects data corresponding to each active user from among the plurality of active users, wherein each active user from among the plurality of active users transmits the data based on a codebook, and the codebook is a codebook randomly selected by the each active user from a preset codebook set.