Wideband Backscatter Control Acquisition for Energy-Harvesting IoT
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Solution Overview
Problem
There is a need to improve energy conversion efficiency and communication range for passive and semi-passive IoT devices in wireless communication networks, particularly for devices that harvest energy from downlink RF signals.
Innovation Solution
The system employs a network entity to transmit RF signals across sub-bands of a wideband bandwidth, with an energy harvesting device reflecting these signals backscatter to determine control information, such as CSI, using techniques like time division multiplexing and frequency shifting.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Length of stationary object
If energy harvesting devices use passive backscatter communication to extend communication range, then communication range is improved, but energy conversion efficiency deteriorates due to limited harvested energy
Solution Approach 1:
The wideband bandwidth is divided into multiple sub-bands, with pilot signals transmitted on specific sub-bands and data signals on other sub-bands. This segmentation allows the system to efficiently utilize limited harvested energy by separating control information acquisition from data transmission, improving both communication range and energy conversion efficiency.
Solution Approach 2:
The system changes the frequency parameter by operating across wideband bandwidth with multiple sub-bands. By transmitting pilot signals on specific sub-bands and using frequency shifting techniques, the system optimizes energy conversion efficiency while extending communication range through effective use of the wideband channel.
2Measurement precision
If the system transmits wideband signals to improve channel state information accuracy, then measurement precision is improved, but energy consumption increases for passive devices
Solution Approach 1:
The system segments the wideband channel into multiple sub-bands and transmits pilot signals only on specific sub-bands rather than across the entire bandwidth. This reduces the energy consumption for passive energy harvesting devices while maintaining accurate channel state information measurement through selective sub-band probing.
Solution Approach 2:
The system uses partial action by transmitting pilot signals on a subset of sub-bands rather than all sub-bands. This partial transmission approach provides sufficient channel state information for effective communication while significantly reducing the energy consumption burden on passive energy harvesting devices.
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 conversion efficiency and communication range by allowing the network to determine channel state information effectively, improving wireless energy transfer and communication capabilities for IoT devices.
Implementation Method 1
energy harvesting (EH)-capable device... receive, from an energy harvesting (EH)-capable device, a first plurality of backscatter RF signals
Implementation Method 2
transmit, to the network entity, a plurality of backscatter RF signals
Data Source
AI summary
Systems and techniques are provided for wireless communication. For example, a network device can transmit radio frequency (RF) signals. Each RF signal of the RF signals is associated with a respective sub-band of sub-bands included in a wideband bandwidth. The network device can receive, from an energy harvesting (EH)-capable device, backscatter RF signals. Each backscatter RF signal of the backscatter RF signals is associated with a respective RF signal of the RF signals. Each backscatter RF signal and each respective RF signal are associated with a respective sub-band of the sub-bands included in the wideband bandwidth. The network device can determine control information associated with the wideband bandwidth based on the backscatter RF signals.