Coordinated Base Station Energy Saving Across Traffic Modes
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Solution Overview
Problem
The increasing energy consumption in wireless communication networks, particularly in mobile communication systems, is a significant issue due to the rising data demand, leading to high Operating Expenses (OpEx) and environmental concerns related to CO2 emissions.
Innovation Solution
Implementing a base station that can operate in both capacity and energy saving modes, with the ability to switch between these modes dynamically, and coordinating with neighboring stations through Energy Saving State (ESS) messages to optimize power consumption and network performance.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If base stations operate in capacity mode to provide high traffic capacity, then network performance is improved, but power consumption increases
Solution Approach 1:
The base station dynamically switches between capacity mode and energy saving mode based on traffic conditions. The operation mode is not fixed but adapts in real-time, allowing the system to optimize between performance and energy consumption by adjusting the operational state of the base station according to actual network demand
Solution Approach 2:
The system changes operational parameters by switching between two distinct modes: capacity mode (high power, high performance) and energy saving mode (low power, reduced functionality). This parameter change approach allows the base station to adjust its resource allocation, signal transmission, and processing capabilities based on traffic requirements
2Loss of energy
If base stations switch to energy saving mode to reduce power consumption, then energy waste is reduced, but network coverage and performance deteriorate
Solution Approach 1:
Multiple base stations are coordinated to work together in a joint-domain approach. When one base station operates in energy saving mode, neighboring base stations compensate by adjusting their coverage and capacity to ensure continuous network service. This merging of resources across multiple stations maintains overall network reliability while enabling individual energy savings
Solution Approach 2:
The system uses intermediary coordination mechanisms where base stations exchange information about their operational states and traffic conditions. This intermediary communication allows the network to collectively decide which stations should save energy while maintaining coverage, acting as a mediator between energy saving goals and service quality requirements
3Device complexity
If base stations operate independently without coordination, then device complexity is reduced, but overall network energy efficiency decreases
Solution Approach 1:
The network is segmented into independent base station units that each make local decisions about their operational mode. Rather than requiring centralized control of the entire network, each base station independently evaluates its own traffic conditions and switches modes autonomously, reducing coordination complexity while maintaining energy efficiency through localized optimization
Data Source
AI summary
A base station for operating at least one cell of a wireless communication network and is configured to operate the cell in a capacity mode during a first instance of time and in an energy saving mode during a different second instance of time. In the energy saving mode, the base station provides a lower traffic capacity in the cell when compared to the capacity mode to reduce a level of power consumption in the energy saving mode when compared to the capacity mode.