Load-Adaptive Control for Wireless Network Energy Efficiency
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Solution Overview
Problem
Current telecommunications networks lack comprehensive, overarching controls to minimize energy consumption based on usage behavior or traffic requirements, with power management mechanisms in different network segments being fundamentally different and not readily compatible, limiting their effectiveness in achieving energy efficiency.
Innovation Solution
A method for load-adaptive control of network elements and sections by continuously acquiring mobile device position and data rate information to adjust bit rates and power states across connected networks, including cellular, access, and aggregation networks, allowing for redundant component switching, clock rate reduction, and bit rate reduction through less complex coding or lower transmission frequencies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If capacity reserve is maintained for expected traffic peaks, then network reliability is improved, but energy consumption increases
Solution Approach 1:
The patent implements dynamic capacity adjustment where network elements continuously adapt their operational state based on real-time traffic load conditions. Capacity is scaled up during peak periods and scaled down during off-peak periods, replacing the static capacity reserve approach with a dynamic response mechanism that maintains reliability only when needed.
Solution Approach 2:
The patent changes operational parameters of network elements (such as processing speed, transmission power, or active component count) based on traffic conditions. By adjusting these parameters dynamically rather than maintaining fixed high-capacity settings, the system reduces energy consumption while preserving the ability to handle peak traffic when it actually occurs.
2Use of energy by stationary object
If load-adaptive control is implemented in individual network sections, then energy efficiency is improved locally, but overall network energy efficiency is limited
Solution Approach 1:
The patent merges load-adaptive control mechanisms across multiple network sections and layers (access network, core network, transport network) into a unified control system. This integration allows coordinated energy savings across the entire network by considering interdependencies between different sections, rather than isolated local optimizations.
Solution Approach 2:
The patent creates a universal load-adaptive control framework that can be applied across diverse network elements and technologies (DSL, fiber, wireless, core routing). This multi-functional approach enables consistent energy efficiency improvements throughout the heterogeneous network infrastructure by applying similar adaptive principles universally.
3Use of energy by stationary object
If comprehensive control between fixed and mobile networks is implemented, then overall energy efficiency is improved, but system complexity increases
Solution Approach 1:
The patent introduces intermediary control entities or signaling mechanisms that coordinate between fixed and mobile network domains. These intermediaries translate and harmonize control signals across different network types, enabling comprehensive load-adaptive control without requiring direct complex integration between all fixed and mobile network elements.
Data Source
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AI summary
The position of a mobile radio data terminal and the data rate required by the components of the mobile telephone network is detected continuously. The position data and the data rate requirement of the components in the aggregation network and/or the wireless network, which are based on the position data in the local vicinity and are responsible for satisfying the data rate requirement of the mobile terminal, is forwarded, to control the bit rate and power states of the components in the aggregation network and/or the wireless network. An independent claim is included for a network of components.