Macrosite Site Swap Control for Outage Power Coverage
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Solution Overview
Problem
Existing telecommunications networks face inefficiencies in power management during power outages, as manual intervention is labor-intensive, prone to errors, and fails to optimize power distribution across the network effectively.
Innovation Solution
Implementing an observability framework (OBF) with cloud-based architecture and artificial intelligence to detect power outages, activate auxiliary power sources at selected macrosites, and temporarily disable non-essential macrosites, using kubernetes clusters for network control and machine learning to optimize power distribution.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual power management is used during power outages, then human operators can respond to power outages, but the system becomes labor-intensive, prone to errors, and slow in response
Solution Approach 1:
The system enables self-service through automated detection of power outages by the controller, automatic activation of auxiliary power sources based on pre-configured parameters, and automatic disabling of non-essential macrosites. This eliminates the need for human operators to manually respond to power outages, thereby improving reliability while increasing automation level.
Solution Approach 2:
The system applies preliminary action by pre-configuring power management parameters, identifying critical versus non-essential macrosites in advance, and establishing automated response protocols before power outages occur. When outages happen, the system executes pre-planned actions immediately, eliminating response delays associated with manual intervention.
2Duration of action of moving object
If all macrosites remain active during power outages, then network coverage is maintained, but battery life is depleted faster and power optimization cannot occur
Solution Approach 1:
The system applies local quality by differentiating between critical macrosites that must remain active and non-essential macrosites that can be temporarily disabled. The controller identifies specific macrosites based on their importance to network coverage and activates auxiliary power sources only at selected critical macrosites, thereby extending battery life while maintaining essential network coverage.
Solution Approach 2:
The system implements partial action by selectively activating auxiliary power sources at only a predetermined number of selected macrosites rather than all macrosites. This partial activation strategy optimizes power distribution to extend battery life while maintaining sufficient network coverage through the subset of critical macrosites.
3Reliability
If auxiliary power sources are activated at all macrosites, then network coverage is fully maintained, but power consumption increases and optimization cannot occur
Solution Approach 1:
The system applies local quality by providing auxiliary power sources only at selected macrosites that are critical for network coverage, rather than uniformly at all macrosites. The controller identifies and prioritizes specific macrosites based on their importance, thereby maintaining essential network coverage while reducing overall power consumption.
Solution Approach 2:
The system implements partial action by activating auxiliary power sources at only a predetermined number of selected macrosites rather than all macrosites. This selective activation maintains sufficient network coverage through critical macrosites while optimizing power consumption by leaving non-essential macrosites inactive.
4Productivity
If automated power management is implemented, then response time is reduced and errors minimized, but system complexity increases
Solution Approach 1:
The system implements feedback through the controller that continuously monitors power status at macrosites and automatically responds to power outages by activating auxiliary power sources and disabling non-essential macrosites based on pre-configured parameters. This automated feedback loop improves power management efficiency by eliminating manual intervention delays while managing complexity through rule-based decision logic.
Data Source
AI summary
A system and method that detects initiation of a triggering event associated with a coverage area having a plurality of macrosites. The system and method further activate an auxiliary power source at each of a predetermined number of selected macrosites, the selected macrosites being ones of the plurality of macrosites. A number of the plurality of macrosites is greater than the predetermined number of selected macrosites. The system and method further include temporarily disabling at least one macrosite other than the selected macrosites.


