NOMA Transmission Device Power Allocation and Interference Cancellation
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Solution Overview
Problem
Current signal processing technologies using Superposition Coding (SPC) face challenges in improving the decoding precision of multiplexed signals with power layer interference, particularly in non-orthogonal multiple access (NOMA) systems, where interference cancellation and FEC decoding efficiency are insufficient.
Innovation Solution
A novel device and method that enhance decoding precision by optimizing power allocation and interference cancellation in SPC systems, utilizing adaptive power allocation matrices and advanced interference cancellation techniques, including dynamic transmission weight selection to improve bit error rate characteristics.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If superposition coding with power allocation is used to multiplex multiple users, then radio resource utilization is improved, but decoding precision deteriorates due to interference between power layers
Solution Approach 1:
The patent segments the decoding process into multiple stages: initial decoding of the first user's signal, interference cancellation by subtracting the decoded signal from the composite signal, and subsequent decoding of the second user's signal. This segmentation allows each decoding operation to work on a cleaner signal, improving overall decoding precision while maintaining the multiplexing capability of SPC
Solution Approach 2:
The patent converts the harmful interference between power layers into a beneficial process by using the stronger signal (first user) as a known quantity to cancel interference for the weaker signal (second user). The interference that initially degrades performance is systematically removed through interference cancellation techniques, turning the harmful interaction into a structured decoding advantage
2Reliability
If interference cancellation is performed to improve decoding precision, then bit error rate performance is improved, but device complexity increases
Solution Approach 1:
The patent employs dynamic power allocation where the power distribution between users is adjusted based on channel conditions and user requirements. The power allocation matrix is dynamically updated to optimize the balance between maintaining sufficient signal strength for reliable decoding and minimizing interference impact, thereby improving bit error rate performance without requiring overly complex fixed-structure processing
Solution Approach 2:
The patent discards the interference component by canceling it out during the decoding process, then recovers the desired signal with improved precision. The interference cancellation process effectively removes the harmful interference portion of the composite signal, allowing clean recovery of the target user's signal with reduced bit error rate
Data Source
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AI summary
A device that selects a transmission weight by which each of a plurality of signal points is to be multiplied; multiplies a signal corresponding to each of the plurality of signal points by the selected transmission weight; multiplexes the multiplied signals corresponding to each of the plurality of signal points on a same frequency and time resource; and modifies a selection rule corresponding to the transmission weight by which each of the plurality of signal points is to be multiplied.