Wireless Network UE Power Scheduling via Dynamic Resource Allocation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In wireless communications networks, existing uplink scheduling methods face challenges in optimizing power efficiency and spectral efficiency, particularly when UEs are power-limited, leading to reduced spectral efficiency when increasing transmission bandwidth and inefficient power utilization when not all bandwidth is utilized.
Innovation Solution
A method that schedules UEs to maximize spectral efficiency at high load and minimize power consumption at low load by initially optimizing power efficiency, allocating frequency, antenna, or code resources, and selecting the most power-efficient Modulation Coding Scheme, while ensuring a minimum bandwidth to each UE to prevent starvation, and dividing remaining bandwidth to minimize total power consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If transmission bandwidth is increased for power-limited UEs, then data rate is improved, but spectral efficiency deteriorates
Solution Approach 1:
The patent implements dynamic scheduling that adapts transmission parameters based on real-time channel conditions and UE power status. The system dynamically adjusts modulation and coding schemes, resource block allocation, and power distribution to optimize the trade-off between data rate and spectral efficiency for power-limited UEs, rather than using fixed allocation strategies
Solution Approach 2:
The patent changes multiple transmission parameters simultaneously including modulation order, coding rate, resource block size, and power spectral density to achieve optimal performance. By adjusting these parameters based on UE power capability and channel quality, the system can maintain spectral efficiency while providing adequate data rates for power-limited devices
2Use of energy by moving object
If transmission bandwidth is reduced for power efficiency, then power consumption is improved, but spectral efficiency deteriorates
Solution Approach 1:
The patent optimizes transmission parameters including reducing resource block allocation and adjusting modulation coding schemes to minimize power consumption while maintaining acceptable spectral efficiency. The system dynamically selects the most appropriate parameter combination based on UE power status and network conditions
Solution Approach 2:
The patent applies partial action by allocating only the necessary minimum resources required to maintain spectral efficiency thresholds, rather than allocating full resources. This allows power-limited UEs to operate with reduced bandwidth while still achieving acceptable performance levels
3Reliability
If power control maintains constant target SINR, then link quality is improved, but power capability of distant UEs is insufficient
Solution Approach 1:
The patent implements local quality adaptation by applying different target SINR values and power control parameters tailored to each UE's specific situation. Distant UEs with power limitations receive customized parameters that account for their power capability, while closer UEs with higher power capability receive different parameters, optimizing both link quality and power utilization for each local context
Solution Approach 2:
The system dynamically adjusts power control parameters including target SINR and maximum power limits based on real-time assessment of UE power capability, distance from base station, and channel conditions. This dynamic adaptation allows the system to maintain reliable links for power-limited distant UEs without over-provisioning power for nearby UEs
Data Source
AI summary
The present invention relates to a method and an infrastructure arrangement for controlling power consumption of at least one User Equipment (UE) (320a-320c) in a wireless communications network (300) by initially scheduling said at least one UE and increasing power efficiency for said at least one UE (320a).