Uplink Control Channel Processing Complexity Reduction
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Solution Overview
Problem
Current wireless communication systems face high complexity in processing uplink control channels due to the need for multiple iterations to separate control signals from multiple mobile devices, leading to inefficient receivers.
Innovation Solution
A method and apparatus that enable unified, low-complexity processing by matching control channel signals with a base sequence, translating them to a time-domain representation, and identifying tap locations corresponding to individual user signals, allowing for noise and interference estimation without reconstructing user signals.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If per-mobile device separation algorithms are employed to isolate uplink control information from multiple mobile devices, then user signal separation capability is improved, but receiver processing complexity increases significantly
Solution Approach 1:
The patent segments the receiver processing into two distinct stages: (1) a unified low-complexity processing stage that handles all mobile device signals simultaneously using a single algorithm, and (2) individual signal extraction stages that operate on already-separated components. This segmentation eliminates the need for multiple iterations of complex separation algorithms, reducing overall processing complexity while maintaining separation capability.
Solution Approach 2:
The patent merges the separation of all mobile device signals into a single unified processing operation rather than handling each device separately through multiple algorithm iterations. By combining all signal separation tasks into one pass using a unified algorithm, the system achieves the same separation result with significantly reduced computational complexity.
2Reliability
If multiple iterations of separation algorithms are executed to handle multiple mobile devices, then complete user signal isolation is achieved, but processing time and computational load increase
Solution Approach 1:
The patent performs preliminary signal separation for all mobile devices in a single unified processing pass before individual signal extraction is required. This preliminary action pre-separates the mixed signals into distinct components, eliminating the need for subsequent iterative separation operations and significantly reducing total processing time while maintaining complete signal isolation.
3Measurement precision
If conventional per-mobile device processing approaches are used, then accurate noise estimation can be performed, but the overall system complexity and processing overhead increase
Solution Approach 1:
The patent implements a universal processing algorithm that simultaneously performs multiple functions: it separates signals from all mobile devices, extracts individual user signals, and estimates noise characteristics all within a single unified framework. This multi-functional approach eliminates the need for separate processing chains for each function, reducing overall system complexity while maintaining accurate noise estimation capability.
Data Source
AI summary
Systems and methodologies are described that facilitate unified, low-complexity processing (e.g., user separation and noise estimation) of a control channel. One or more UEs can respectively transmit one or more control signals, which are multiplexed on a control channel and a base station can receive a control channel signal that includes the one or more control signals. The base station, in a single pass, can separate the control signals by matching the control channel signal with a base sequence and translating the matched signal to a time-domain representation. In the time-domain representation, each control signal resides at a different tap. Further, the base station can identify taps of the time-domain representation corresponding to an unused cyclic shift or orthogonal cover sequence. Such taps can be employed to generate a noise and/or interference estimate.