UE Power Management Through Adaptive 5G Resource Scaling
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
User Equipment (UE) in 5G networks consumes unnecessary power due to reporting a fixed scaling factor of 1, leading to high resource allocation and poor battery performance in situations where lower data speeds and bandwidth are sufficient, such as emergencies, low battery, or power-saving modes, without the ability to dynamically adjust resource needs.
Innovation Solution
The UE determines an optimized scaling factor based on operating conditions and transmits it to the network, indicating reduced resource requirements, thereby reducing power consumption by allocating lower modulation schemes and MIMO layers.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the UE reports a fixed scaling factor of 1 to the network, then the network allocates maximum resources (higher modulation and MIMO layers) to achieve maximum throughput, but the UE consumes unnecessary high power and experiences poor battery performance in situations where lower data speeds are sufficient
Solution Approach 1:
The patent applies dynamics by making the scaling factor adjustable and adaptive rather than fixed. The UE can dynamically change the scaling factor value based on different operating conditions (emergency mode, power-saving mode, low battery, thermal throttling), allowing the system to transition between maximum performance and power-efficient states as needed
Solution Approach 2:
The patent implements parameter changes by modifying the scaling factor parameter that the UE reports to the network. By changing this parameter value based on operating conditions, the UE can control the network's resource allocation and modulation scheme selection, thereby adjusting power consumption levels while maintaining adequate service quality
2Speed
If the network allocates maximum resources with higher modulation and MIMO to achieve maximum throughput, then data speed is improved, but transmission power requirement increases leading to high battery consumption
Solution Approach 1:
The patent applies partial action by allocating only the necessary resources required for the current service demand rather than always allocating maximum resources. When power-saving modes are activated, the UE requests reduced resource allocation (lower scaling factor), and the network provides partial resources sufficient for maintaining essential services while reducing power consumption
3Productivity
If the UE uses higher modulation schemes and higher MIMO with greater number of layers, then maximum data rate is achieved, but transmission power increases leading to high battery/power consumption
Solution Approach 1:
The patent makes the modulation scheme and MIMO layer configuration dynamic by linking them to the scaling factor that the UE reports to the network. Based on operating conditions, the UE can request different scaling factors that result in appropriate modulation orders and MIMO layer allocations, transitioning between high data rate and low power consumption states
Solution Approach 2:
The patent changes the scaling factor parameter to control the network's allocation of modulation schemes and MIMO layers. By adjusting this parameter based on power-saving needs, the UE can reduce the complexity of transmission (lower modulation order, fewer MIMO layers), thereby reducing power consumption while maintaining essential service functionality
Data Source
AI summary
The present disclosure relates to a method and apparatus for power management by a user equipment (UE). The method comprises: determining whether at least one of a plurality of modes has been triggered at the UE; determining an optimized scaling factor by the UE based on at least one of a plurality of parameters associated with an operating condition of the UE, upon determining that the at least one of the plurality of modes has been triggered; and transmitting the optimized scaling factor to a network, wherein the optimized scaling factor indicates that less network resources are required.