Power Amplifier Resource Scheduling for Delay-Aware Efficiency
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Solution Overview
Problem
Wireless networks face inefficiencies in energy consumption due to varying load scenarios, where peak power and maximum power amplifier efficiency are not consistently reached, especially in low and medium traffic levels, leading to degraded overall energy efficiency.
Innovation Solution
Implement a power amplifier efficiency-based resource scheduling system that groups user equipments into different UE groups based on delay tolerance limits and adjusts transmission strategies to maximize power amplifier efficiency by constraining physical resource block utilization, using digital envelope tracking to optimize supply voltage based on input signal amplitude.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If discontinuous transmission is used to deactivate power amplifiers during empty transmission time intervals, then energy consumption is reduced, but overall energy efficiency degrades in low and medium traffic levels
Solution Approach 1:
The system dynamically adjusts transmission timing and resource allocation based on real-time traffic conditions and power amplifier efficiency characteristics. The scheduler modifies transmission schedules to ensure power amplifiers operate in high-efficiency regions, transitioning between active and inactive states optimally based on aggregated buffer status reports and efficiency thresholds.
Solution Approach 2:
The system changes operational parameters including transmission time intervals, resource block allocation, and power amplifier activation thresholds based on traffic levels. By adjusting these parameters dynamically, the system maintains power amplifiers in efficient operating regions while adapting to varying traffic demands in low and medium load scenarios.
2Productivity
If peak power is used to maximize data transmission capacity, then throughput is improved, but power amplifier efficiency degrades
Solution Approach 1:
The system applies partial action by transmitting data at reduced power levels when traffic demand allows, rather than always using peak power. The scheduler determines optimal transmission power by evaluating aggregated buffer status reports against efficiency thresholds, enabling partial utilization of transmission capacity while maintaining power amplifier operation in high-efficiency regions.
Solution Approach 2:
The system implements periodic evaluation of buffer status reports and power amplifier efficiency metrics to adjust transmission schedules. By periodically reassessing traffic conditions and efficiency thresholds, the system can transition between different transmission power levels and activation states, ensuring power amplifiers operate efficiently across varying load conditions.
3Loss of energy
If transmission is delayed to aggregate more data for better power amplifier efficiency, then energy efficiency is improved, but data delay increases
Solution Approach 1:
The system uses feedback from aggregated buffer status reports to dynamically adjust transmission timing decisions. By continuously monitoring buffer levels across multiple user equipments and comparing against efficiency thresholds, the scheduler determines optimal delay timing that aggregates sufficient data for efficient power amplifier operation while respecting quality of service requirements and preventing excessive delays.
Solution Approach 2:
The system performs preliminary aggregation of data in buffers before transmission by evaluating buffer status reports in advance. This preliminary action allows the scheduler to prepare optimal transmission schedules that consolidate data packets, ensuring power amplifiers operate at efficient power levels when transmission occurs, while planning delays in advance to meet quality of service constraints.
Data Source
AI summary
Methods and systems for power amplifier efficiency-based resource scheduling. A method includes receiving packet resource block (PRB) utilization information of PRBs using a distributed unit (DU) of a digital envelope tracking (DET) system, grouping user equipments (UEs) into a first UE group and a second UE group based on a delay tolerance limit of each UE, and determining whether data is ready for transmission based on a number of UEs in the first UE group and a number of UEs in the second UE group.