Concurrent Channel Demapping and Decoding for Downlink Throughput
Solution Overview
Problem
Current wireless communication systems face challenges in maximizing downlink throughput due to the complexity of processing control and traffic data simultaneously, particularly in MIMO systems where efficient decoding and demapping of data from multiple antennas are required.
Innovation Solution
The proposed solution involves an apparatus and method that utilize a buffer for demodulated control and traffic data, a demapper engine with independent demappers, a log-likelihood-ratio (LLR) buffer, and a decoder engine with specialized decoders for control and traffic data, along with an arbitrator for controlling the demapping and decoding processes, allowing for enhanced parallel processing and increased throughput.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If multiple demappers and decoders operate concurrently on control and traffic data, then downlink throughput is improved, but device complexity increases
Solution Approach 1:
The system segments the downlink data into control data and traffic data streams, processing them through separate demappers and decoders. This segmentation allows concurrent processing of different data types without interference, improving throughput while managing complexity through functional separation
Solution Approach 2:
The patent introduces a new dimension of parallel processing by implementing multiple demappers and decoders that operate simultaneously on different data streams. This multi-dimensional processing architecture enables throughput improvement without proportionally increasing sequential processing complexity
2Loss of time
If control data and traffic data are processed simultaneously through the same decoding resources, then processing time is reduced, but data collision increases
Solution Approach 1:
The system separates control data and traffic data into distinct processing paths with dedicated demappers and decoders. This segmentation eliminates data collision between control and traffic streams while maintaining simultaneous processing, reducing processing time without compromising reliability
Solution Approach 2:
The patent introduces separate buffering structures (control data buffer and traffic data buffer) that act as intermediaries between the received data and the decoding resources. These intermediaries prevent data collision by maintaining separate queues for control and traffic data while enabling parallel processing
3Measurement precision
If specialized decoders are used for control and traffic data, then decoding accuracy is improved, but device complexity increases
Solution Approach 1:
The system applies local quality by using specialized decoders optimized for specific data types (control data decoder for control information, traffic data decoder for user data). Each decoder is tailored to the specific requirements of its data type, improving decoding accuracy while confining complexity to specialized components rather than requiring all decoders to handle all data types
Data Source
AI summary
An apparatus and method for enhanced downlink processing of received channels in a mobile communications system is described, containing a buffer for control data and traffic data, a demapper engine with at least two independently operating demappers for demapping the control and traffic data, a log-likelihood-ratio (LLR) buffer for supporting memory segments accessible by the demapper engine, a decoder engine containing decoders, each of the decoders operating on data from selected memory segment(s) of the LLR buffer, and an arbitrator providing control of at least one of the demapper engine, LLR buffer, and decoder engine. At least one of the decoders is suited for decoding control data and another one of the decoders is suited for decoding traffic data. By partitioning the decoding as such, an increase in downlink throughput can be obtained.