Dynamic Power Saving Windows for Wireless Cell Energy Optimization
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Solution Overview
Problem
Current wireless communication networks face inefficiencies in power usage due to uniform power-saving thresholds applied across all operating periods, which fail to account for varying user traffic loads, leading to suboptimal energy savings and potential Quality of Service (QoS) degradation.
Innovation Solution
The approach involves dividing the operating period into multiple Power Saving Windows (PSWs) with distinct user traffic load thresholds, optimizing these windows to minimize variance in traffic conditions and tailor thresholds to specific periods of higher or lower traffic loads, allowing for dynamic cell switching based on current traffic conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If uniform power-saving thresholds are applied across all operating periods, then network operation is simplified, but energy savings are suboptimal and QoS may be degraded
Solution Approach 1:
The operating period is segmented into multiple Power Saving Windows (PSWs) with distinct user traffic load thresholds. Each PSW has customized thresholds tailored to specific traffic conditions (higher thresholds during low-traffic periods for maximum savings, lower thresholds during high-traffic periods for QoS maintenance), replacing the uniform threshold approach and enabling optimized energy savings of up to 20% without compromising service quality.
2Ease of operation
If uniform power-saving thresholds are applied across all operating periods, then power management is easier, but energy savings during low-traffic periods are maximized at the expense of QoS during high-traffic periods
Solution Approach 1:
The system dynamically adjusts power-saving thresholds based on the current operating period and traffic conditions. Different thresholds are applied during different PSWs - higher thresholds during low-traffic periods to maximize energy savings, and lower thresholds during high-traffic periods to maintain QoS. This dynamic adaptation ensures both ease of operation through automated management and reliability through context-appropriate threshold selection.
3Device complexity
If single threshold is used for cell switching, then decision-making is simpler, but energy savings are compromised during varying traffic conditions
Solution Approach 1:
Different threshold values are assigned to different Power Saving Windows based on local traffic conditions. Each PSW has customized thresholds that reflect the specific traffic characteristics of that period - higher thresholds during low-traffic PSWs to enable more aggressive power-saving cell shutdowns, and lower thresholds during high-traffic PSWs to maintain service quality. This local customization maximizes energy savings during appropriate periods while preventing energy waste during high-demand periods.
Data Source
AI summary
An apparatus, having: at least one processor; and at least one memory storing instructions that, when executed by the at least one processor, cause the apparatus at least to perform: collecting traffic information indicative of user radio conditions within a cell group having at least one cell; and determining, from the traffic information, a plurality of time windows, the plurality of time windows having different specified user traffic load threshold conditions for switching off and switching on of cells within the cell group.