AI-Predicted PDCCH Aggregation Levels for Lower UE Power

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Solution Overview

Problem

The existing UE decoding methods in 4G and 5G wireless networks consume significant power due to exhaustive blind decoding of PDCCH channels across all possible aggregation levels and search space sets, leading to inefficient power usage and performance burden.

Innovation Solution

A method using machine learning models, such as neural networks, to predict the aggregation level and search space set used by the base station for PDCCH data transmission, allowing the UE to intelligently decode PDCCH data based on network parameters, thereby reducing the need for blind decoding across all levels and sets.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If the UE performs exhaustive blind decoding of PDCCH across all possible aggregation levels and search space sets, then the UE can reliably receive downlink control information, but the power consumption and processing burden increase significantly

Engineering Contradiction:

Improvereliable reception of downlink control informationVSAvoidUE power consumption

Core Design Contradiction:

ReliabilityVSUse of energy by moving object

Solution Approach 1:

The system performs preliminary actions by having the base station transmit indication information about the actual aggregation level and search space set before the UE performs blind decoding. This allows the UE to prepare and limit its decoding attempts in advance, rather than exhaustively trying all possibilities, thereby reducing power consumption while maintaining reliable reception of downlink control information

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

Indication information acts as an intermediary between the base station and the UE. The base station sends this indication information to guide the UE's blind decoding process, enabling the UE to efficiently identify the correct aggregation level and search space set without exhaustive searching, thus resolving the contradiction between reliability and power consumption

Inventive Principle:

Principle #24Intermediary (Mediator)

2Reliability

If the UE performs blind decoding across all possible aggregation levels and search space sets, then no control information is missed, but the processing time and resource consumption increase

Engineering Contradiction:

Improvecompleteness of control information receptionVSAvoidprocessing time for blind decoding

Core Design Contradiction:

ReliabilityVSLoss of time

Solution Approach 1:

The base station performs preliminary action by transmitting indication information that specifies the actual aggregation level and search space set before the UE begins blind decoding. This allows the UE to immediately focus its processing on the correct parameters rather than sequentially checking all possibilities, significantly reducing processing time while ensuring no control information is missed

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The indication information serves as an intermediary that bridges the base station's transmission and the UE's reception process. It provides the UE with precise guidance on which aggregation level and search space set to decode, eliminating unnecessary processing steps and reducing overall processing time while maintaining complete control information reception

Inventive Principle:

Principle #24Intermediary (Mediator)

3Reliability

If the UE performs exhaustive blind decoding to ensure all control information is received, then decoding accuracy is maintained, but the complexity of the decoding process increases

Engineering Contradiction:

Improvedecoding accuracyVSAvoidcomplexity of blind decoding process

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

The base station performs preliminary action by sending indication information that identifies the actual aggregation level and search space set before the UE executes blind decoding. This allows the UE to simplify its decoding process by focusing only on the specified parameters rather than implementing complex exhaustive search algorithms across all possible combinations, thereby maintaining decoding accuracy while reducing process complexity

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The indication information acts as an intermediary that simplifies the interface between the base station's transmission and the UE's decoding operations. It provides clear, specific guidance that eliminates the need for the UE to implement complex decision-making logic for selecting aggregation levels and search space sets, thus maintaining decoding accuracy while reducing overall process complexity

Inventive Principle:

Principle #24Intermediary (Mediator)

Data Source

PatentUS12446035B2System and method to reduce PDCCH blind decoding attempts using artificial intelligence and machine learning

Publication Date: 2025.10.14 SAMSUNG ELECTRONICS CO LTD

AI summary

Provided is a method of operating a user equipment (UE) in a wireless network for managing physical downlink control channel (PDCCH) data. The method includes: obtaining a plurality of network parameters, predicting at least one aggregation level (AL) used by a base station (BS) associated with the UE to transmit the PDCCH data in the wireless network based on the plurality of received network parameters, and decoding the PDCCH data based on the at least one predicted AL.