HSDPA Power Budget Estimation Using Statistical Headroom
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Solution Overview
Problem
Existing methods for determining power budgets for HSDPA physical channels in WCDMA systems face issues of signal saturation and underutilization due to static headroom calculations, leading to distorted transmit signals and degraded data throughput.
Innovation Solution
A method using mean and variance of previous power components to dynamically estimate the current power component, optimizing the power budget for HSDPA channels by predicting power variations with a linear predictor, thereby avoiding saturation and maximizing throughput.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If static headroom calculations are used to determine power budgets, then the calculation method is simple, but signal saturation and underutilization occur leading to distorted transmit signals and degraded data throughput
Solution Approach 1:
The patent applies dynamics by transitioning from static headroom calculations to dynamic power budget calculations that adapt to changing channel conditions. The system continuously updates power budgets based on real-time channel quality indicators, allowing the power allocation to respond dynamically to varying transmission conditions, thereby preventing both saturation and underutilization of available power.
Solution Approach 2:
The patent implements feedback mechanisms by using channel quality indicators and previous power budget calculations to inform current power budget decisions. The system feeds back transmission outcomes and channel conditions into the power budget calculation algorithm, enabling continuous optimization of power allocation based on actual system performance and environmental conditions.
2Ease of manufacture
If static headroom calculations are used, then implementation is straightforward, but data throughput is degraded due to power underutilization
Solution Approach 1:
The system employs dynamic power budget calculations that adjust power allocation based on real-time channel conditions, maximizing the utilization of available transmit power. This dynamic approach ensures that power is neither wasted nor exceeded, thereby optimizing data throughput while maintaining manageable implementation complexity through structured calculation procedures.
Solution Approach 2:
The patent changes the parameter of power budget calculation from fixed static values to variable dynamic values based on channel quality indicators. By continuously adjusting power budget parameters according to measured channel conditions, the system optimizes data throughput while maintaining implementation feasibility through standardized calculation methodologies.
3Productivity
If dynamic power estimation using mean and variance is implemented, then power utilization is optimized and throughput is maximized, but calculation complexity increases
Solution Approach 1:
The system uses feedback from channel quality indicators and historical power budget data to dynamically estimate current power requirements. By incorporating mean and variance calculations based on previous measurements, the system optimizes power utilization and maximizes throughput while managing complexity through structured statistical approaches that build upon existing calculation frameworks.
Data Source
AI summary
Methods and computer software are disclosed for determining a power budget for physical channels in a system. The method may include, obtaining a mean and variance of a previously computed power component; determining an estimate of a current power component in a current frame based on the mean and variance of the previously computed power component; and computing a power budget in a current frame using the estimate of the current power component.