Multi-Level Energy Thresholds for Harvested-Power QoS Control
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Solution Overview
Problem
Current wireless communication systems, particularly those relying on harvested energy, face challenges in managing energy variability and optimizing Quality of Service (QoS) flows due to the stochastic nature of energy availability, which affects the performance and efficiency of energy harvesting wireless devices.
Innovation Solution
Implementing a multi-level energy configuration system that includes energy thresholds for enabling and disabling communication configurations, energy warning mechanisms, and reporting protocols to optimize energy usage and QoS flows, allowing wireless devices to dynamically adjust their operations based on energy levels and network feedback.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of stationary object
If energy harvesting wireless devices operate with stochastic energy availability, then the devices can achieve self-sufficient and perpetual operation, but the energy level varies drastically over time affecting communication performance
Solution Approach 1:
The patent implements dynamic energy threshold configuration where the network node receives energy threshold information from the wireless device and adjusts communication parameters based on current energy levels. The system dynamically switches between different energy thresholds (first energy threshold for normal operation, second energy threshold for energy-constrained operation) to adapt to stochastic energy availability while maintaining communication reliability.
Solution Approach 2:
The patent employs feedback mechanisms where the wireless device reports energy threshold information to the network node, and the network node responds by configuring appropriate communication parameters. This closed-loop feedback system allows the network to adapt to the device's energy state and adjust resource allocation, modulation schemes, and coding rates to maintain reliable communication despite energy variations.
2Use of energy by moving object
If the wireless device accumulates enough energy to perform operations, then the device can store and manage harvested energy, but the energy management complexity increases
Solution Approach 1:
The patent introduces the network node as an intermediary that handles complex energy management tasks. Instead of the wireless device independently managing energy accumulation and operation timing, the device reports its energy threshold state to the network, which then schedules transmissions and manages resources. This shifts complexity from the constrained device to the more capable network infrastructure.
Solution Approach 2:
The patent utilizes parameter changes in energy thresholds to simplify energy management. The system defines specific energy threshold parameters (first threshold for normal mode, second threshold for energy-constrained mode) that trigger different communication behaviors. This parameter-based approach simplifies device logic compared to continuous optimization, as the device only needs to monitor and report threshold crossings rather than perform complex energy optimization calculations.
3Reliability
If the network configures QoS flows assuming full energy availability, then the QoS requirements can be met, but the configuration does not account for energy harvesting variability
Solution Approach 1:
The patent segments QoS handling into different energy states by defining multiple energy thresholds. When energy exceeds the first threshold, normal QoS configurations apply. When energy falls below the second threshold, alternative QoS configurations are activated. This segmentation allows the system to meet QoS requirements under normal conditions while adapting to energy-constrained states, rather than using a single rigid QoS configuration.
Solution Approach 2:
The patent makes QoS configuration dynamic by linking it to energy threshold states. The network node receives energy threshold information and adjusts QoS parameters accordingly. This dynamic QoS adaptation ensures that service requirements are met when energy is充足 while allowing flexible degradation when energy is constrained, improving both QoS fulfillment and energy adaptability simultaneously.
Data Source
AI summary
A method, system and apparatus are disclosed. According to one or more embodiments, an energy harvesting wireless device configured to communicate with a network node is provided. The energy harvesting wireless device includes processing circuitry configured to determine a first energy level of the energy harvesting wireless device meets a first threshold of a set of multi-level energy thresholds, and send to the network node a reporting indicating one of an enablement and disablement of a first communication configuration for a data flow of an application service based on the determination that the first threshold is met.