Mobile Network Power Control Throughput-Latency Tradeoff
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Solution Overview
Problem
Existing mobile networks face challenges in reducing energy consumption, particularly in the Radio Access Network (RAN) part, as power-saving features are ineffective during high traffic loads and do not actively manage energy usage beyond low to medium traffic periods.
Innovation Solution
Implementing a power consumption controlling unit that adapts throughput and latency of data transmission based on a power consumption policy, considering factors like electricity prices, time, and on-site power generation or battery status to balance energy savings with quality of service.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If power saving features are implemented by deactivating carriers or Power Amplifier during low traffic periods, then energy consumption is reduced, but service quality and data transmission capacity deteriorate
Solution Approach 1:
The system dynamically adjusts the activation state of network components (carriers, Power Amplifier) based on real-time traffic load conditions. During low traffic periods, components are deactivated to save energy; during high traffic periods, they are activated to ensure adequate data transmission capacity. This dynamic adaptation resolves the contradiction by making the system flexible rather than static.
Solution Approach 2:
The invention changes operational parameters (throughput, latency) of the data transmission based on power consumption policies. By adjusting these parameters, the system can operate in energy-saving modes during low traffic while maintaining acceptable service quality, thus resolving the contradiction between energy consumption and data transmission capacity.
2Use of energy by moving object
If resources are deactivated to save power, then energy consumption decreases, but interference increases and bandwidth utilization decreases
Solution Approach 1:
The system dynamically controls the activation of resources based on traffic conditions and power consumption policies. By activating resources only when necessary and deactivating them during low demand, the system minimizes interference while optimizing power consumption. The dynamic nature allows the system to adapt to changing conditions rather than maintaining a fixed state.
3Use of energy by moving object
If throughput is reduced and latency increased to save energy, then power consumption decreases, but service quality deteriorates
Solution Approach 1:
The system changes service parameters (throughput, latency) based on power consumption policies and traffic conditions. By dynamically adjusting these parameters, the system can operate in energy-saving modes while maintaining acceptable service quality levels. The parameter changes are controlled and policy-driven, ensuring that service quality remains within acceptable bounds even during energy-saving operation.
Data Source
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AI summary
The present invention relates to an energy-efficient network comprising a first network member and a second network member between which a data transmission is established via at least one network component, characterized in that a power consumption controlling unit for adapting the throughput and/or latency of the data transmission by controlling the at least one network component, wherein the power consumption controlling unit is configured to adapt the throughput and/or latency of the data transmission established between the first network member and the second network member on basis of a power consumption policy of the network.