Dynamic Cell Configuration in Cellular Networks for Energy Savings
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Solution Overview
Problem
The expansion of cellular networks faces challenges in balancing user needs with business considerations and costs, necessitating efficient energy management strategies to optimize power consumption.
Innovation Solution
A system and method for dynamically modifying power consumption in cellular networks by generating energy saving models using historical and current network performance and topology data to set configurations for cells, including full or partial energy saving modes, while maintaining network accessibility and efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If cellular network expansion continues to meet user needs, then network coverage and capacity improve, but energy consumption and operational costs increase
Solution Approach 1:
The patent implements dynamic cell configuration that automatically adjusts network topology based on real-time traffic conditions. Cells are dynamically activated or deactivated depending on user demand, allowing the network to expand coverage when needed while reducing energy consumption during low-traffic periods. The system monitors traffic patterns and reconfigures cell states (active, dormant, inactive) to match actual network usage requirements.
Solution Approach 2:
The system performs preliminary analysis of historical traffic patterns and predicts future network demands to proactively configure cell states. By analyzing past usage data and anticipating traffic surges, the system pre-activates cells before high-demand periods occur, ensuring continuous coverage while avoiding unnecessary energy consumption during predictable low-usage times.
2Reliability
If cells operate continuously to maintain network availability, then service reliability improves, but energy waste increases during low-usage periods
Solution Approach 1:
The system implements periodic monitoring and evaluation of cell performance metrics including traffic load, user connectivity requirements, and network quality of service. Based on these periodic assessments, cells are transitioned between active, dormant, and inactive states. This periodic reconfiguration ensures network reliability is maintained during high-demand periods while energy waste is reduced during low-usage intervals through automated cell deactivation.
Solution Approach 2:
The patent changes operational parameters of cells dynamically by adjusting transmit power levels, antenna configurations, and resource allocation based on real-time network conditions. When traffic demand decreases, parameters are modified to reduce power consumption while maintaining minimum service quality. When demand increases, parameters are adjusted to restore full network availability, thus balancing reliability with energy efficiency.
3Productivity
If more cells are activated to handle increased user demand, then network capacity improves, but operational costs increase
Solution Approach 1:
The system merges traffic loads from multiple cells by intelligently routing users to the most efficient active cells based on current network conditions. When demand increases, instead of uniformly activating all cells, the system consolidates traffic onto a subset of high-performance cells, merging their capacity to handle the load. This approach maintains network capacity while minimizing the number of active cells, thereby reducing operational costs.
Data Source
AI summary
Systems and methods for dynamically modifying power consumption of cells in a cellular network. Historical network performance and topology information regarding the cellular network is obtained. The historical information is used to generate at least one network energy saving model of the network. Current network performance and topology information is then obtained regarding the cellular network. The at least one network energy saving model is employed on the current network performance and topology information to set an energy saving configuration for at least one cell in the network. The energy saving configuration is then used to reduce energy utilized by the at least one cell.