Dynamic Rate Allocation for Power Optimized Framing
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Solution Overview
Problem
Network service units in telecommunication systems face challenges with excessive heat generation and power consumption, particularly in warm climates and remote locations with limited power availability, leading to performance issues and potential damage.
Innovation Solution
Implementing a dynamic rate allocation logic that optimizes power dissipation by distributing available power among subscribers based on traffic load, service level agreements, and temperature, allowing for high peak data rates while maintaining low average power consumption and dynamically adjusting power distribution between downstream and upstream directions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the service unit operates at high data rates, then productivity is improved, but power consumption increases causing overheating
Solution Approach 1:
The patent implements dynamic rate allocation logic that continuously monitors power consumption and temperature, then dynamically adjusts the data transmission rate and framing parameters. This allows the system to operate at high data rates when power is available and cool, while automatically reducing rates when power limits are approached or temperature rises, resolving the contradiction between productivity and power usage
Solution Approach 2:
The system changes operational parameters including frame size, timeslot allocation, and modulation schemes based on real-time power and temperature conditions. By dynamically adjusting these parameters, the system can optimize the balance between data rate (productivity) and power consumption, allowing high rates when conditions permit and reducing rates when power constraints are active
2Productivity
If power dissipation is increased to achieve high data rates, then productivity is improved, but temperature increases causing performance issues and potential damage
Solution Approach 1:
The patent incorporates temperature monitoring and feedback control where the dynamic rate allocation logic receives temperature input and adjusts data rates accordingly. When temperature approaches critical thresholds, the system automatically reduces power dissipation by lowering data rates or adjusting framing, creating a feedback loop that prevents overheating while maintaining maximum productivity when safe
Solution Approach 2:
The system dynamically adapts its operational characteristics based on real-time temperature conditions. The framing and rate allocation are not fixed but continuously adjusted in response to thermal feedback, allowing the system to exploit available thermal headroom for higher rates when cool and prevent damage by reducing rates when temperature rises
3Adaptability or versatility
If the service unit is equipped with battery and limited power supply, then adaptability to remote locations is improved, but available power decreases constraining data rates
Solution Approach 1:
The dynamic rate allocation logic continuously monitors available power from batteries or power-over-subscriber-line sources and adjusts data transmission rates accordingly. This allows the system to be deployed in remote locations with limited power while automatically optimizing performance based on actual power availability, maintaining adaptability to various power constraint scenarios
Solution Approach 2:
The system changes its operational parameters including frame structure, timeslot allocation, and transmission power based on available power levels. When powered by limited battery or line power, the system adjusts framing to reduce power consumption while maintaining acceptable data rates, enabling deployment in remote locations with diverse power availability
Data Source
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AI summary
Power dissipation within a network service unit, such as digital-subscriber-line access multiplexer (DSLAM), is treated as a resource that is to be shared among subscribers. In this regard, the total amount of available power dissipation is quantified, and the framing for the data streams communicated across the subscriber lines are controlled to ensure that specified power dissipation limits are not exceeded, accounting for one or more factors, such as traffic load, service level agreement (SLA) specifications, available power, and temperature.