Demodulator Search Space Configuration for Lower UE Processing Load
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Solution Overview
Problem
In wireless communication systems, particularly 5G NR, the computational load for determining the search space size of per-stream recursive demodulators is resource-intensive and inefficiently distributed, leading to suboptimal demodulation performance and power consumption at user equipment (UE).
Innovation Solution
Shift the computational burden of determining the search space size from the UE to a base station with more processing resources, using artificial intelligence-based methods to accurately configure the search space size based on UE metrics, thereby reducing computational complexity and power consumption at the UE.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the UE calculates the search space size locally, then the computational complexity and power consumption at the UE increase, but the demodulation performance may be maintained
Solution Approach 1:
The patent extracts the computationally intensive search space size calculation function from the UE and relocates it to the base station. The base station determines the search space size based on channel conditions and other parameters, then provides this information to the UE. This extraction resolves the contradiction by maintaining demodulation performance (through accurate search space sizing) while eliminating the computational burden from the UE.
Solution Approach 2:
The patent introduces an intermediary mechanism where the base station acts as a mediator between the channel conditions and the UE's demodulation process. The base station calculates the search space size based on channel quality indicators and other parameters, then communicates this pre-calculated value to the UE. This intermediary approach maintains measurement precision while avoiding complex calculations at the UE.
2Measurement precision
If the UE performs real-time search space size calculation, then the demodulation accuracy is maintained, but the power consumption increases
Solution Approach 1:
The patent applies preliminary action by having the base station calculate and determine the search space size in advance, before the UE needs to perform demodulation. The base station uses available channel state information and system parameters to pre-compute the optimal search space size, then provides this information to the UE. This eliminates the need for real-time calculation at the UE, thereby maintaining accuracy while significantly reducing power consumption.
3Adaptability or versatility
If the search space size is determined by UE based on channel metrics, then the adaptability is improved, but the computational load at UE increases
Solution Approach 1:
The patent inverts the traditional approach by having the base station (rather than the UE) perform the search space size determination. Instead of the UE adapting based on its own calculations, the base station determines the search space size based on channel metrics and system conditions, then communicates this to the UE. This inversion maintains adaptability while offloading the computational complexity from the UE to the base station, which has greater processing resources.
Data Source
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AI summary
Aspects described herein relate to configuring a search space size for a demodulator to use in generating log likelihood ratios (LLRs) in demodulating received signals. In an aspect, an indication of a search space size for a demodulator to use in generating LLRs can be received from a base station, and a demodulation of one or more signals received in wireless communication can be performed by a node using the demodulator and based on the search space size. In another aspect, a search space size for the demodulator of the node to use in generating log likelihood ratios (LLRs) can be determined based on one or more signals transmitted by the node, and an indication of a search space size can be transmitted to the node.