Wireless Network Energy-Saving Control via Load-Based Threshold Reporting
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Solution Overview
Problem
Existing energy-saving control methods for wireless networks are inadequate in managing energy consumption across the entire network, as they primarily focus on local base stations and cannot rapidly respond to load changes, leading to inefficient energy usage.
Innovation Solution
An energy-saving control method and system where network elements compare cell performance index values with threshold values and report to a network manager, enabling the manager to constitute energy-saving strategies that adjust power states of base stations based on load conditions, ensuring effective energy management across the entire wireless network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If network elements perform energy-saving analysis and execution locally, then energy-saving control can be implemented at the base station level, but the system cannot synthesize network-wide operation conditions to perform comprehensive energy-saving management
Solution Approach 1:
The system divides energy-saving management into two segments: local energy-saving analysis and execution at network elements (resolving ease of operation), and centralized strategy formulation at the network manager (enabling network-wide adaptability). This segmentation allows both local autonomy and global coordination.
Solution Approach 2:
The network manager acts as an intermediary that receives operation condition information from network elements, formulates comprehensive energy-saving strategies based on network-wide conditions, and directs execution back to network elements. This intermediary enables the transition from local to network-wide energy-saving management.
2Device complexity
If traditional energy-saving methods are used, then simple local control is achieved, but the system cannot rapidly respond to load changes across the entire network
Solution Approach 1:
The network manager continuously monitors and analyzes network operation conditions in advance, formulating energy-saving strategies before load changes require intervention. This preliminary action enables rapid response when load changes occur, as the system is already prepared with pre-analyzed strategies.
Solution Approach 2:
The system implements a feedback loop where network elements report operation conditions to the network manager, which formulates strategies and directs execution back to elements. This continuous feedback mechanism enables rapid adaptation to load changes while maintaining manageable system complexity through automated closed-loop control.
Data Source
AI summary
The disclosure provides an energy-saving control method for a wireless network, which includes: a network manager sets energy-saving control parameters and sends the parameters to a network element participating in energy-saving control; after receiving the energy-saving control parameters, the network element compares a cell performance index value of a base station controlled by the network element itself with a cell performance index threshold value contained in the energy-saving control parameters periodically, and reports a message to the network manager when the cell performance index value of the base station exceeds the cell performance index threshold value; after receiving the message, the network manager constitutes an energy-saving strategy and notifies the network element to perform energy-saving operation. The disclosure also provides an energy-saving control system for a wireless network. The method and system of the disclosure can rapidly respond to the load change of the base station, thereby effectively realizing energy-saving management of the entire wireless network.