Wireless QoS Control Using Energy-Aware Service Delivery
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Solution Overview
Problem
Existing wireless communication networks face challenges in dynamically adjusting Quality of Service (QoS) for energy-aware service delivery, leading to potential service denial or interruptions, especially when renewable energy sources are unavailable or energy is limited, without compromising the quality of essential services like voice calls.
Innovation Solution
Implementing an Energy Management Function (EMF) to collect and analyze energy-related information at a granular level, allowing for QoS adjustments based on energy usage and source type, enabling users to select energy-aware services and optimizing network operations for energy efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If QoS is adjusted to reduce energy consumption, then energy efficiency is improved, but service quality may deteriorate
Solution Approach 1:
The patent dynamically changes QoS parameters (data rate, bandwidth, priority levels) based on energy availability conditions. When renewable energy is available, higher QoS parameters are applied; when energy is limited, parameters are adjusted to maintain essential services while reducing overall consumption, thus resolving the contradiction between energy efficiency and service quality
Solution Approach 2:
The system implements dynamic QoS adjustment mechanisms that adapt in real-time to energy availability conditions. The network controller continuously monitors energy status and dynamically modifies service parameters, enabling the system to optimize energy consumption without permanently degrading service quality, as adjustments are reversible when energy becomes available
2Use of energy by moving object
If QoS adjustment is applied to all services to save energy, then energy consumption is reduced, but essential services like voice calls may be interrupted
Solution Approach 1:
The patent applies differentiated QoS adjustment strategies to different service types based on their criticality. Essential services like voice calls maintain guaranteed QoS parameters and are protected from energy-saving adjustments, while non-essential services such as video streaming undergo dynamic QoS modification. This localized approach ensures energy savings without interrupting essential services
3Adaptability or versatility
If renewable energy source-operated resources are prioritized, then environmental sustainability is improved, but service availability may be reduced when renewable energy is unavailable
Solution Approach 1:
The system implements periodic monitoring and switching between renewable and conventional energy sources. When renewable energy is available, the network prioritizes resources operated by renewable sources. When renewable energy becomes unavailable, the system periodically switches to conventional energy sources to maintain service availability, thus balancing environmental sustainability with service reliability
Data Source
AI summary
Embodiments disclosed herein relate to methods and systems for providing energy-aware service delivery in wireless communication networks by adjusting Quality of Service (QoS) for individual services. The methods include collecting energy-related information (for example, energy availability, and energy source type (renewable and non-renewable)) to analyze energy usage at service/UE granularity, and adjusting QoS for individual services in a network based on the collected energy-related information. The methods include a dedicated Energy Management Function (EMF) to coordinate UE/service requirements and energy information (for example, energy usage) for energy-aware network decisions.