Adaptive Downlink Time Resources for Energy-Efficient 5G DRX
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Solution Overview
Problem
The high energy consumption in 5G networks due to the transmission of periodic or semi-persistent reference signals and the misalignment of active times in connected mode discontinuous reception (C-DRX) configurations leads to inefficient power usage in both network and user equipment, creating a tradeoff between network energy savings and user power savings.
Innovation Solution
Implementing mechanisms for dynamic adaptation of time domain resources for periodic or semi-persistent downlink signals, including dynamic adjustment of reference signal availability, synchronization signal blocks, and paging PDCCH configurations, using adaptation information in DCI formats to optimize resource usage based on network and user equipment needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If periodic or semi-persistent downlink signals are transmitted using legacy configurations, then reliable communication is maintained, but energy consumption increases
Solution Approach 1:
The patent applies dynamics by transitioning from static legacy configurations to dynamic adaptive configurations. The base station dynamically adjusts time domain resource allocations for periodic or semi-persistent downlink signals based on real-time channel conditions and traffic demands, allowing the system to optimize energy consumption while maintaining transmission reliability through continuous adaptation rather than fixed parameters
Solution Approach 2:
The patent implements parameter changes by modifying key transmission parameters including time domain resource allocation, periodicity, and configuration indices. The base station changes these parameters adaptively based on channel quality indicators and traffic patterns, enabling energy optimization by reducing transmission resources when conditions permit while ensuring reliability when channel conditions deteriorate
2Measurement precision
If reference signal resources are increased to improve channel estimation accuracy, then communication reliability improves, but energy consumption increases
Solution Approach 1:
The patent applies partial action by transmitting reference signals only at necessary intervals and locations rather than continuously. The system uses adaptive periodicity configurations that reduce reference signal density when channel conditions are stable, achieving sufficient measurement precision for reliable communication while significantly reducing the energy consumed by reference signal transmissions
3Use of energy by moving object
If connected mode DRX configurations are made more aggressive to save energy, then energy efficiency improves, but latency increases
Solution Approach 1:
The patent applies dynamics by implementing adaptive DRX configurations that adjust sleep and wake intervals based on traffic patterns and channel conditions. The system dynamically modifies DRX parameters including on-duration, inactivity timer, and periodicity, allowing UE to enter deeper sleep states during low-activity periods while maintaining responsiveness during high-activity periods, thus achieving energy savings without excessive latency
Solution Approach 2:
The patent implements feedback mechanisms where the base station monitors UE reception status and traffic patterns, then adjusts DRX configurations accordingly. This closed-loop approach ensures that aggressive DRX settings are applied only when appropriate, preventing excessive latency while maintaining energy efficiency through data-driven configuration optimization
4Productivity
If time domain resources are statically allocated for downlink signals, then configuration simplicity is maintained, but resource utilization efficiency decreases
Solution Approach 1:
The patent applies universality by creating a multi-functional configuration framework that handles multiple signal types (periodic signals, semi-persistent signals, dynamic signals) through a unified adaptive resource allocation mechanism. This universal approach improves resource utilization efficiency by optimizing allocations across all signal types simultaneously while managing complexity through standardized procedures and common configuration parameters
Data Source
AI summary
Apparatuses and methods for dynamic adaptation of a time domain resource for periodic or semi-persistent downlink signal are provided. A method of operating a user equipment (UE) includes receiving a set of configurations from a higher layer, identifying a first set of configurations from the set of configurations indicating resources for reception of downlink signals, and identifying a second set of configurations from the set of configurations for a physical downlink control channel (PDCCH) including a downlink control information (DCI) format. The DCI format includes adaptation information. The method further includes receiving the downlink signals based on the first set of configurations, receiving the PDCCH including the DCI format based on the second set of configurations, identifying, based on the adaptation information, a third set of configurations indicating the resources for reception of the downlink signals, and receiving the downlink signals based on the third set of configurations.