Wireless Network Power Optimization via Demand Forecasting
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Solution Overview
Problem
Large-scale wireless telecommunication networks face inefficiencies due to uniform resource management across base stations, leading to non-optimal operations as demand varies geographically, resulting in high resource usage even during low demand periods.
Innovation Solution
Implementing a power usage optimization server that monitors and adjusts transmission power at individual base stations based on demand forecasting, grouping similar stations and dynamically managing resources to match demand, using modules for demand forecasting, network power adjustment, and network management to optimize power usage and Quality of Service.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If base stations are configured with substantially similar parameters using network applied optimization, then network reliability is maintained, but resource usage efficiency deteriorates
Solution Approach 1:
The patent segments the network into individual base station units, each with its own demand forecasting module and power adjustment capabilities. This allows each base station to operate independently based on local demand conditions rather than following uniform network-wide parameters, resolving the contradiction between maintaining reliability through standardization and improving efficiency through customization.
Solution Approach 2:
The patent implements dynamic power adjustment where base stations continuously forecast demand and adjust transmission power levels in real-time based on predicted and actual demand. This dynamic approach allows the system to maintain reliability by adapting to changing conditions while improving resource usage efficiency by avoiding unnecessary high power consumption during low demand periods.
2Speed
If transmission power levels are maintained at relatively high levels, then network responsiveness to sudden demand increases is improved, but power consumption increases
Solution Approach 1:
The patent employs demand forecasting modules that predict future network demand before it occurs. By performing preliminary forecasting and proactively adjusting power levels in anticipation of demand changes, the system can maintain responsiveness when needed while avoiding unnecessary high power consumption during low demand periods, thus resolving the contradiction between speed and energy usage.
Solution Approach 2:
The patent implements feedback mechanisms where actual network performance and demand data are continuously monitored and fed back to adjust power levels. This closed-loop control allows the system to maintain responsiveness by detecting demand increases early while optimizing power consumption by reducing levels during low demand, resolving the contradiction between maintaining speed and reducing energy use.
3Ease of operation
If uniform network configuration is applied across all base stations, then network management simplicity is maintained, but individual base station performance optimization is limited
Solution Approach 1:
The patent enables base stations to autonomously forecast demand and adjust their own power levels without requiring complex centralized control for each individual station. This self-service capability maintains network management simplicity while significantly improving individual base station performance through localized optimization, resolving the contradiction between ease of operation and productivity.
Data Source
AI summary
Modulating and optimizing operation parameters such as power usage of wireless networks include determining a baseline reference level for a network demand at a base station in a network during a first time interval. The transmission power of the base station corresponding to the baseline reference level is determined, and the network demand at the base station in the network is forecasted during a second time interval. A difference between the projected network demand and the baseline reference level at the second time is determined. The transmission power of the base station is adjusted by a predetermined increment during the second time interval based at least on the difference.