Base Station Energy-Saving State via Dynamic SSB Transmission
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Solution Overview
Problem
The increasing energy consumption of 5G network devices, particularly base stations, due to the growing number of user equipments and network demands, necessitates a solution to reduce energy consumption effectively.
Innovation Solution
A processing method for network devices that involves entering an energy-saving state by adjusting the transmission periods or suspending synchronization signal blocks based on preset conditions, and communicating this state through downlink information to user equipment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the network device continuously transmits synchronization signal blocks to maintain communication service, then the communication reliability is improved, but the energy consumption increases
Solution Approach 1:
The network device transmits synchronization signal blocks periodically rather than continuously. The transmission period is dynamically adjusted based on traffic conditions - during low traffic periods, the period is extended or transmission is suspended to save energy, while during high traffic periods, the period is reduced to maintain communication reliability. This periodic action with variable intervals resolves the contradiction between continuous transmission reliability and energy conservation.
Solution Approach 2:
The synchronization signal block transmission parameters are made dynamic rather than static. The network device adjusts transmission periods, suspends transmissions, or activates dormant blocks based on real-time traffic conditions and UE states. This dynamic adaptation allows the system to maintain reliability when needed while conserving energy during low-demand periods, directly resolving the technical contradiction.
2Use of energy by moving object
If the network device suspends or increases transmission period of synchronization signal blocks to save energy, then the energy consumption is reduced, but the communication service quality may deteriorate
Solution Approach 1:
The network device implements feedback mechanisms to monitor UE states, traffic conditions, and communication quality metrics. Based on this feedback, the device intelligently adjusts synchronization signal block transmission - suspending or extending periods when quality metrics indicate sufficient service, and restoring normal transmission when feedback shows quality deterioration. This closed-loop feedback system ensures energy savings do not compromise communication service quality.
Solution Approach 2:
The system changes transmission parameters (period, suspension status, active block selection) based on monitored conditions. Rather than maintaining fixed parameters, the network device dynamically modifies these parameters to optimize the balance between energy consumption and service quality. When parameters indicate energy-saving opportunities without quality impact, changes are applied; when quality thresholds are approached, parameters are adjusted to maintain service levels.
3Measurement precision
If the network device monitors all beam directions and data packets to determine energy saving state, then the accuracy of energy saving decision is improved, but the device complexity increases
Solution Approach 1:
The network device divides the monitoring process into segments - rather than continuously monitoring all parameters simultaneously, the device monitors different aspects (beam directions, data packet counts, UE states) at different times or with different frequencies. This segmented monitoring approach maintains decision accuracy by covering all necessary aspects while reducing the instantaneous processing complexity and resource requirements.
Solution Approach 2:
The network device applies partial monitoring based on traffic conditions and cell state. Rather than always performing full monitoring of all beam directions and data packets, the device monitors only the necessary subset of parameters needed for the current decision context. This partial action approach maintains sufficient decision accuracy while significantly reducing device complexity and processing overhead during low-traffic periods when full monitoring is not required.
Data Source
AI summary
A processing method, a communication device, and a storage medium. The processing method can enable a network device to enter an energy saving state in a case that a first preset condition is met, and specify a specific processing of the network device in the energy saving state, so as to better realize energy saving of the network device. After the network device enters the energy saving state, it can quickly switch the energy saving state of the network device according to the first preset condition or a second preset condition.