Power Allocation in DC-HSUPA Carriers via Throughput Ratio
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Solution Overview
Problem
In multi-carrier wireless telecommunications networks, existing methods for allocating limited power among carriers are inefficient, particularly in unbalanced networks, leading to reduced data throughput due to uneven signal to noise ratios and potential overloading of carriers with low noise rise tolerance.
Innovation Solution
A method that determines power allocation based on the estimated potential throughput per unit of power for each carrier, considering both power requirements and data throughput, and schedules carriers according to a calculated fill order to maximize overall data transmission efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If power is allocated to carriers based on existing methods (e.g., greedy water filling, maximum scheduled grant), then some carriers receive power allocation, but data throughput is reduced due to uneven signal to noise ratios and overloading of carriers with low noise rise tolerance
Solution Approach 1:
The invention changes the power allocation parameter from simple power-based metrics to a composite metric that includes both power requirements and data throughput estimates. By calculating an 'estimated potential throughput per unit of power' ratio for each carrier, the system dynamically adjusts power distribution based on actual carrier conditions and capacity, resolving the contradiction between maximizing throughput and maintaining network balance
Solution Approach 2:
The invention implements a feedback mechanism where the base station provides indications of estimated power requirements and estimated data throughput for each carrier. This feedback loop allows the user equipment to continuously adjust power allocation based on current network conditions, signal-to-noise ratios, and carrier loading, thereby preventing overloading of sensitive carriers while maximizing overall data throughput
2Productivity
If user equipment transmits on multiple carriers, then data transmission capacity is increased, but available user equipment power must be shared between carriers
Solution Approach 1:
The invention transforms the power allocation decision from a simple power division problem to an optimized resource allocation problem by introducing the 'estimated potential throughput per unit of power' metric. This parameter change enables the system to identify which carriers provide the most data transmission value per unit of power consumed, allowing efficient power sharing across multiple carriers while maximizing overall data transmission capacity
Solution Approach 2:
The invention makes the power allocation dynamic by continuously adjusting the fill order of carriers based on changing network conditions, signal-to-noise ratios, and estimated throughput requirements. Rather than using a fixed power distribution scheme, the system adapts its power allocation strategy in real-time to maintain optimal power efficiency across multiple carriers
Data Source
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AI summary
A method of allocating power to a data channel in a Dual Cell HSUPA or Multi Cell HSUPA wireless telecommunications network. The method comprises the steps of: determining power allocatable between each of said carriers; and for each carrier: receiving an indication representative of an estimated power requirement associated with sending data on said data channel of that carrier; receiving an indication representative of an estimated data throughput associated with sending data on said data channel of that carrier (ie Serving Grant); generating, from a ratio of the estimated data throughput to the estimated power requirement, a value, for said data channel of that carrier, representative of an estimated potential throughput of data per unit of power allocated to said data channel of that carrier.