Band-Based Power Saving in Wireless Networks
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Solution Overview
Problem
Wireless networks face challenges in minimizing service disruptions and optimizing power consumption across multiple frequency bands, particularly during handover processes, which can impact user experience and network efficiency.
Innovation Solution
Implementing band-based power saving techniques in wireless networks, where base stations use AI/ML to select bands for power saving based on load metrics and predicted hand-ins, minimizing disruptions by powering down or reducing hardware usage in less busy bands, and prioritizing bands with lower hand-in quantities to maintain service quality.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If power saving techniques are applied to all frequency bands, then network power consumption is reduced, but service quality and user experience deteriorate due to handover disruptions
Solution Approach 1:
The patent segments the frequency bands into different groups based on traffic load characteristics. Some bands are designated for power saving while others maintain full functionality, allowing selective application of power saving techniques without impacting overall service quality.
Solution Approach 2:
Different quality levels are applied to different frequency bands based on their traffic conditions. Bands with low traffic receive aggressive power saving measures, while bands with high traffic maintain full performance, creating local quality variations optimized for each band's specific needs.
2Loss of energy
If power saving techniques are applied to high load bands, then network power consumption is reduced, but handover disruptions increase affecting user experience
Solution Approach 1:
The system dynamically adjusts power saving configurations based on real-time traffic load conditions. When traffic patterns change, the system adapts which bands receive power saving treatment, ensuring that bands critical for handovers maintain adequate performance while still achieving overall power reduction.
Solution Approach 2:
The system continuously monitors traffic load and handover performance metrics, using this feedback to adjust power saving configurations. This closed-loop control ensures that power saving measures do not inadvertently cause handover disruptions by detecting and responding to performance degradation.
3Reliability
If multiple frequency bands are maintained active, then service reliability is improved, but network power consumption increases
Solution Approach 1:
Instead of maintaining full capacity on all bands, the system applies partial action by keeping only the necessary minimum level of service on power-saving bands. This allows the system to maintain adequate service reliability while consuming less power, accepting that some bands operate below full capacity during low-traffic periods.
Data Source
AI summary
A system described herein may identify a set of radio frequency (“RF”) bands implemented by a particular base station of a RAN of a wireless network. The system may identify a first measure of hand-ins, associated with a particular time period, to the base station via a first RF band of the set of bands, and identify a second measure of hand-ins, associated with the particular time period, to the base station via a second RF band of the set of bands. The system may rank the first and second RF bands based on the respective associated first and second measures of hand-ins, select a particular RF band based on the ranking, and may cause the particular base station to implement, during the particular time period, a power saving technique with respect to the selected particular RF band.