User Equipment Local Computing and Offloading via Power Harvesting
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Solution Overview
Problem
Wireless communication systems face challenges in optimizing energy usage and reducing frequency offset during synchronization in Device-to-Device (D2D) communication, particularly in scenarios where power harvesting is involved, as existing methods do not effectively manage energy causality constraints and channel variations.
Innovation Solution
A method and apparatus for user equipment (UE) in a wireless communication system that processes input data through local computing or offloading based on power harvesting, determining feasibility through specific equations and comparing energy savings to decide between local computing and offloading, utilizing energy conversion efficiency and channel gain to optimize CPU-cycle frequencies and time division.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If D2D communication is implemented to reduce network overhead, then data transmission efficiency is improved, but frequency offset during synchronization increases
Solution Approach 1:
The patent applies preliminary action by performing frequency offset estimation and compensation before the actual data transmission begins. The UE estimates frequency offset using synchronization signals and applies compensation mechanisms in advance, which resolves the frequency offset issue while maintaining D2D communication efficiency for data transmission.
2Duration of action of moving object
If power harvesting is used to extend battery life, then energy availability is improved, but energy causality constraints make computing feasibility determination complex
Solution Approach 1:
The patent applies dynamics by making the computing feasibility determination adaptive to changing power harvesting conditions. The UE continuously monitors available power and dynamically adjusts computing parameters or offloading decisions accordingly. This dynamic approach simplifies the feasibility determination process while extending battery life through power harvesting.
Solution Approach 2:
The patent changes key parameters such as CPU cycle frequencies and computing task priorities based on available power levels. By adjusting these parameters dynamically, the system determines computing feasibility more simply while maximizing battery life extension through power harvesting.
3Productivity
If local computing is performed to process data, then computing capability is improved, but energy consumption increases
Solution Approach 1:
The patent applies partial action by performing only the necessary computing operations locally and offloading excessive or power-intensive tasks to the network. The UE determines the optimal balance between local computing and offloading based on available power, achieving sufficient computing capability while minimizing energy consumption.
Solution Approach 2:
The patent uses the network as an intermediary resource for offloading computing tasks. When local power is insufficient, the UE offloads tasks to the network, which acts as an intermediary computing resource. This approach maintains computing capability while reducing local energy consumption.
4Use of energy by moving object
If offloading is used to reduce local processing load, then energy saving is improved, but transmission power requirements increase
Solution Approach 1:
The patent changes transmission power parameters dynamically based on channel conditions and power harvesting availability. The UE adjusts transmission power to the minimum necessary for successful offloading, optimizing the balance between energy saving and transmission requirements through adaptive parameter changes.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach reduces frequency offset during synchronization and maximizes energy savings by efficiently managing energy usage and channel variations, enhancing the successful computing probability and extending battery life in D2D communication systems.
Implementation Method 1
receiving signal from BS (Base station) and saving energy that is delivered via the signal
Data Source
AI summary
One embodiment of the present invention relates to a method for receiving signal from BS (Base station) and saving energy that is delivered via the signal; determining whether a local computing is feasible and whether an offloading is feasible; and performing one of the local computing or the offloading according to the determination.