Beamformed EH Signaling With Per-Beam Frequency Randomization
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Solution Overview
Problem
Existing technologies face challenges in efficiently improving energy harvesting efficiency in devices that require concurrent energy and information transfer, especially in heterogeneous networks with passive and semi-passive devices.
Innovation Solution
The implementation of beamformed energy harvesting signal transmissions with per-beam frequency resources randomization, including semi-static frequency hopping schemes based on historical information transfer statistics and dynamic configurations for real-time optimization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If beamformed energy harvesting signal transmissions are implemented, then energy harvesting efficiency is improved, but information transfer performance may be degraded
Solution Approach 1:
The patent segments frequency resources into dedicated energy harvesting bands and information transfer bands. The network device configures separate frequency resources for EH signals and information signals, allowing independent optimization of each function without mutual interference, thus resolving the contradiction between improving EH efficiency and maintaining information transfer performance
Solution Approach 2:
The patent applies local quality by optimizing signal characteristics specifically for energy harvesting in dedicated frequency bands while maintaining separate signal characteristics for information transfer. The network device configures beamformed EH signals with specific properties (such as high PAPR) in designated frequency resources, while information signals maintain their own optimization criteria, allowing each to excel in its designated domain
2Productivity
If per-beam frequency resources randomization is implemented, then energy harvesting efficiency is enhanced, but system complexity increases
Solution Approach 1:
The patent implements dynamic frequency resource allocation where the network device configures semi-static frequency hopping schemes based on historical information transfer statistics, and further optimizes with dynamic per-beam dedicated configurations in real-time. This dynamic approach allows the system to adapt to changing conditions and maximize EH efficiency while the network manages the complexity centrally
Solution Approach 2:
The patent employs feedback mechanisms where the network device uses historical information transfer statistics to configure semi-static frequency hopping schemes, and continuously monitors real-time conditions to provide dedicated configurations. This feedback loop enables the system to optimize EH efficiency based on actual performance data while maintaining manageable complexity through centralized network control
3Productivity
If concurrent transmission of information signals and energy signals is supported in the same frequency band, then spectrum efficiency is improved, but signal interference increases
Solution Approach 1:
The patent segments the frequency band into dedicated energy harvesting frequency resources and information transfer frequency resources. The network device configures separate frequency allocations for EH signals and information signals, preventing spectral overlap and eliminating mutual interference while maintaining high spectrum utilization through coordinated resource management
Solution Approach 2:
The network device acts as an intermediary that coordinates and manages the concurrent transmission of information signals and energy signals. It configures separate frequency resources for each signal type and manages the beamforming parameters, serving as a mediator that enables both signals to coexist in the same overall frequency band without interfering with each other
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 enhances energy harvesting efficiency without degrading information transfer performance, enabling more effective power transfer in diverse device scenarios.
Implementation Method 1
beamformed energy harvesting signal transmissions
Implementation Method 2
energy harvesting efficiency (EH)
Data Source
AI summary
A wireless transmit/receive unit, WTRU, may include an Energy Harvesting device, EH, a Zero Energy transceiver, ZE, and a main transceiver. The WTRU may initialize operation using the main transceiver, and receive beam detection configuration and mapping information. The WTRU may initialize beam (re-) selection procedure using the ZE transceiver, and use the received beam detection configuration to determine detectable beam IDs. and use the received mapping information to retrieve EH signaling configuration. The WTRU determines expected EH performance for each detected beam, and selects the beam with best expected EH performance. On condition that the WTRU determines necessity of dynamic EH signaling for the selected beam, it proceeds with presence declaration procedure to request optimized dynamic EH signaling. The WTRU utilizes control signaling channel parameters to dynamically receive optimized EH signal configuration, and configures its EH circuitry, and harvests energy.