UE Transmission Power Management via Energy Window Monitoring
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Solution Overview
Problem
Conventional schemes for managing User Equipment (UE) transmission power are not optimal, particularly in determining allowable UE transmission power to achieve increased coverage and reliability while adhering to regulatory energy and power constraints.
Innovation Solution
A method and system that determine a first total amount of energy transmitted by UE within a time window and calculate a corresponding allowed transmission power, considering both transmission time and power levels, to dynamically adjust and optimize UE transmission power within regulatory limits.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If UE transmission power is increased to improve coverage and reliability, then transmission coverage and reliability are improved, but regulatory energy and power constraints are violated
Solution Approach 1:
The patent implements dynamic transmission power adjustment by continuously monitoring the time window energy consumption and adapting the UE transmission power accordingly. The power management mechanism transitions from static to dynamic control, allowing the system to optimize transmission power in real-time based on current energy usage patterns while ensuring regulatory constraints are met.
Solution Approach 2:
The patent changes the parameter being monitored from simple power level to cumulative energy consumption over a time window. By tracking the total energy consumed (power × time) rather than just instantaneous power, the system can make more informed decisions about power boosting opportunities, allowing temporary power increases when energy budget permits while maintaining compliance with regulatory limits.
2Reliability
If conventional power management schemes are used, then implementation is simple, but transmission power optimization is insufficient
Solution Approach 1:
The patent implements a feedback mechanism where the UE monitors its own transmission energy consumption over a defined time window and uses this information to adjust future transmission power decisions. This closed-loop feedback enables intelligent power optimization without requiring complex external control systems, as the UE autonomously makes power management decisions based on its own operational history.
Solution Approach 2:
The power management mechanism enables the UE to serve itself by autonomously determining optimal transmission power levels based on its own energy consumption patterns. The UE independently evaluates whether power boosting is appropriate by checking against its own time window energy usage, eliminating the need for complex network-side control or external intervention while still achieving optimized transmission performance.
Data Source
AI summary
Certain examples of the present disclosure relate to a User Equipment, UE, (110) comprising means for: determining a first total amount of energy (ETx(TW1)) that has been transmitted by the UE within a first time window (TW1); and determining a first transmission power (PmaxTx(i)) that is allowed for a transmission (Tx(i)) by the UE within the first time window, TW1 wherein the first transmission power is determined based, at least in part, on the first total amount of energy (ETx(TW1)) that has been transmitted by the UE within the first time window (TW1).