Joint Network Device Power Saving Optimization
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Solution Overview
Problem
Current wireless communication systems face challenges in efficiently managing network and device power saving, leading to increased energy consumption and operational expenses, particularly with the rising demand for mobile data traffic and the need for more advanced 5G services.
Innovation Solution
The proposed solution involves a method where user equipment (UE) receives an indication of network energy saving (NES) configuration or class, determines the remaining active time of a cell, and evaluates cell-sleep conditions based on thresholds and power saving states. This allows the UE to prioritize or down-prioritize cell selection based on energy saving criteria, ensuring optimal energy efficiency and user performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by stationary object
If network energy saving measures are implemented (e.g., cell sleep modes, DTX/DRX configurations), then network energy consumption is reduced, but device power consumption management becomes more complex and may impact user performance
Solution Approach 1:
The UE provides feedback to the network about its power saving state and cell evaluation results. The network configures NES parameters and receives UE measurements, creating a closed-loop system where both network and device adapt their power saving strategies based on mutual feedback, resolving the complexity issue through coordinated decision-making
Solution Approach 2:
The patent introduces an intermediary mechanism where the UE acts as a mediator between network energy saving goals and device power saving needs. The UE evaluates cell-sleep conditions based on network configurations and autonomously makes cell selection/reselection decisions that balance both network and device power saving requirements
2Reliability
If UEs continuously monitor cell active time and sleep conditions, then cell selection optimality is improved, but device energy consumption increases
Solution Approach 1:
The patent implements periodic monitoring through DTX/DRX configurations where the UE monitors cell conditions only during configured active periods and enters sleep modes during off-periods. This periodic action pattern allows the UE to maintain cell selection optimality while significantly reducing device energy consumption compared to continuous monitoring
Solution Approach 2:
The UE dynamically adjusts its monitoring behavior based on cell-sleep conditions and NES configurations. When cells are in sleep mode, the UE reduces monitoring activity; when cells are active, monitoring intensity increases. This dynamic adaptation allows the system to maintain reliability while minimizing energy consumption at each moment
3Loss of energy
If multiple cell-sleep conditions are evaluated (remaining active time, off-time period, power saving state), then energy efficiency is optimized, but the complexity of power saving management increases
Solution Approach 1:
The patent segments the cell-sleep condition evaluation into distinct, manageable components: remaining active time evaluation, off-time period evaluation, and power saving state evaluation. Each component is handled separately with specific thresholds and criteria, making the overall complex process more manageable and implementable while achieving comprehensive energy efficiency optimization
Data Source
AI summary
Various aspects of the present disclosure relate to jointly optimizing network and device power saving. An apparatus, such as a network equipment (NE), establishes an energy savings priority based on network energy savings and user equipment (UE) energy savings. The NE transmits a network energy saving (NES) configuration that is mapped to an NES class to a UE from which the UE establishes a (re) selection priority based at least in part on the network energy savings and the UE energy saving. The UE receives, from the NE as a cell, an indication of the NES configuration mapped to the NES class. The UE determines a remaining active time of the cell based on the NES configuration, and evaluates one or more cell-sleep conditions based on a UE cell-active threshold, a UE cell-sleep threshold, and a UE power saving state supported by the cell.