Link Parameter Caching for Transmit Power Control
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Solution Overview
Problem
In GPRS and EGPRS networks, there is a challenge in efficiently managing downlink and uplink power to maintain link quality while minimizing interference and conserving mobile battery life, as existing methods lack effective mechanisms for dynamic power adjustment and interference reduction.
Innovation Solution
The method involves caching and aging of link transmission parameters, such as modulation and coding schemes, and power levels from previous communication flows to adjust settings for subsequent flows, allowing for reduced power usage and improved interference management by leveraging temporal correlation in channel conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If transmit power is increased to maintain link quality, then link reliability is improved, but energy consumption and interference increase
Solution Approach 1:
The system performs preliminary actions by caching link transmission parameters (modulation schemes, coding schemes, power levels) from previous communication flows before they are needed. When a new flow starts, these pre-cached parameters are retrieved and adjusted based on temporal correlation, avoiding the need to start with maximum power and gradually adjust, thus reducing overall energy consumption while maintaining link quality.
Solution Approach 2:
The system implements feedback mechanisms by measuring link quality (BLER, RXQUAL) during communication flows and using this information to adjust cached parameters for future flows. The aging process also provides feedback by reducing the weight of older measurements, ensuring the system adapts to changing channel conditions while maintaining energy efficiency.
2Productivity
If transmit power is increased to reduce interference impact on other users, then network capacity is improved, but overall network interference and energy consumption increase
Solution Approach 1:
The system changes parameters by adjusting modulation and coding schemes based on cached measurements from previous flows. By selecting appropriate MCS (Modulation and Coding Scheme) levels that match current channel conditions, the system achieves reliable communication at lower power levels, thereby maintaining network capacity while reducing interference to other users.
Solution Approach 2:
The system introduces dynamics through the aging process that continuously adapts cached parameters based on elapsed time and recent measurements. This dynamic adjustment allows the system to respond to changing channel conditions and interference levels, optimizing power usage and minimizing harmful interference while maintaining productivity.
3Reliability
If link parameters are adjusted dynamically for each communication flow, then link quality is improved, but system complexity and processing overhead increase
Solution Approach 1:
The system reduces complexity by performing preliminary actions of caching link parameters during active communication flows. Instead of complex real-time adjustments for each new flow, the system pre-records relevant parameters (power levels, modulation schemes, quality measurements) and retrieves them for subsequent flows, significantly simplifying the control mechanism while maintaining link quality.
Solution Approach 2:
The system uses copying by creating cached copies of link transmission parameters from previous communication flows. These copies are stored and reused for subsequent flows with minimal adjustments, avoiding the need to re-determine all parameters from scratch and reducing system complexity while maintaining reliable communication.
4Use of energy by moving object
If cached parameters from previous flows are used for subsequent flows, then energy efficiency is improved, but accuracy of parameter selection decreases due to channel condition changes
Solution Approach 1:
The system introduces dynamics through the aging process that continuously updates cached parameters based on elapsed time and recent measurements. The aging factor increases with time, reducing the weight of older measurements and adapting to current channel conditions. This dynamic approach maintains energy efficiency by using cached parameters while correcting for channel changes, preserving measurement precision.
Solution Approach 2:
The system implements feedback by measuring link quality (BLER, RXQUAL) in recent communication flows and using these measurements to adjust cached parameters for future flows. This feedback loop ensures that even as channel conditions change over time, the cached parameters remain accurate and appropriate for current conditions, balancing energy efficiency with parameter accuracy.
Data Source
AI summary
A method of controlling link transmission parameters of a communication flow in a network caches one or more network parameters at the end of a first communication flow for an elapsed time, and adjusts the network parameters for controlling link quality and transmit power of a next communication flow based on an uncertainty that is caused by caching for the elapsed time. The state of a communication channel during a previous communication flow (connection) is used to determine network parameters to use at a future communication flow. When a connection begins, and the network does not know the ideal settings to use, the network defines a specified, elapsed time duration over which the state of a previous connection no longer can be trusted, i.e., an uncertainty period. Network parameters are adjusted to account for uncertainty caused by the elapsed time.