Load-Based Power Adjustments for Cellular Sites
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Solution Overview
Problem
Energy costs for cellular communication systems are high due to inefficient energy usage by radio sites, necessitating effective management to ensure business health and revenue growth.
Innovation Solution
The method involves monitoring energy consumption and data throughput across multiple cellular sites, calculating energy efficiencies, and adjusting coverage areas by varying transmit power levels to optimize energy usage while maintaining aggregate coverage and throughput.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If transmit power levels are increased to maintain coverage area, then coverage quality is improved, but energy consumption increases
Solution Approach 1:
The patent implements dynamic adjustability of transmit power levels based on real-time load conditions. The base station controller monitors data traffic load and dynamically modifies transmit power settings, transitioning from static to adaptive power management that matches actual service requirements.
Solution Approach 2:
The system changes the transmit power parameter in response to varying load conditions. When load decreases, the controller reduces transmit power levels, and when load increases, it restores power to maintain coverage quality, thereby adapting system parameters to operational demands.
2Reliability
If all cellular sites operate at full power to ensure adequate coverage, then coverage reliability is maintained, but aggregate energy consumption increases
Solution Approach 1:
The patent applies partial action by reducing transmit power at selected base stations rather than maintaining full power across all sites. The load-based approach determines that some sites can operate at reduced power levels when their local load is low, achieving energy savings while maintaining sufficient aggregate coverage through coordinated operation of all sites in the cluster.
Data Source
AI summary
For a cluster of cellular communication sites, the power consumption and data load of each site is measured over multiple time periods to determine an energy factor indicating the degree by which the power consumption of each site increases with increasing data load. The energy factors are then analyzed to determine coverage area sizes for the communications sites that will serve a given area while taking advantage of more efficient site to reduce overall power consumption of the cluster of sites. Transmission power levels are then adjusted at the sites to achieve these coverage area sizes.