Ambient IoT Carrier Wave Control for Power, Frequency, and Beam Tuning
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Solution Overview
Problem
Existing AIoT systems face challenges in controlling carrier wave (CW) power, frequency, and beam characteristics to ensure effective communication and minimize interference with other transmissions, particularly for AIoT devices that cannot actively generate signals.
Innovation Solution
Implementing a system that includes a Session Control Unit (SCU) to associate and control CW providers, allowing for direct or SCU-mediated interaction to manage CW transmission characteristics such as power, frequency hopping, and beamforming, based on proximity and interference detection, using dedicated identifiers and configurations to optimize CW signal transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If CW transmission power is increased to improve signal strength for AIoT devices, then communication reliability is improved, but interference with other network transmissions increases
Solution Approach 1:
The system dynamically adjusts CW transmission parameters (power, frequency, beam direction) based on real-time channel conditions and interference levels. The SCU monitors communication quality and automatically modifies transmission characteristics to maintain reliability while minimizing interference, making the transmission adaptive rather than static.
Solution Approach 2:
The patent changes multiple transmission parameters including carrier wave power, frequency hopping patterns, and beamforming directions. By adjusting these parameters based on channel conditions, the system optimizes signal strength for AIoT devices while reducing interference to other transmissions through frequency diversity and spatial separation.
2Reliability
If CW transmission parameters are adjusted to maintain signal strength, then communication effectiveness is improved, but system complexity increases
Solution Approach 1:
The Session Control Unit (SCU) acts as an intermediary that centralizes the complex task of managing CW transmission parameters. Rather than requiring each AIoT device to independently control transmission characteristics, the SCU coordinates with CW providers to adjust power, frequency, and beam parameters, simplifying the overall system architecture while maintaining communication effectiveness.
Solution Approach 2:
The system implements feedback mechanisms where the SCU monitors communication quality metrics and uses this information to automatically adjust CW transmission parameters. This closed-loop control ensures communication effectiveness is maintained while avoiding the need for complex manual configuration or intervention.
3Object-generated harmful factors
If frequency hopping is used to reduce interference, then interference with other transmissions is minimized, but signal strength consistency deteriorates
Solution Approach 1:
The patent combines frequency hopping with beamforming and power control mechanisms. By merging these techniques, the system achieves both interference reduction through frequency diversity and signal strength consistency through coordinated beam direction and power adjustment, compensating for the weaknesses of frequency hopping alone.
Data Source
AI summary
An apparatus is provided which comprises at least one processor, and at least one memory storing instructions that, when executed by the at least one processor, cause the apparatus at least to: receive a carrier wave transmission modulated by an ambient internet of things device in an ambient internet of things session, determine whether a received power of the carrier wave transmission is below a predetermined threshold; and in response to determination that the received power is below the predetermined threshold, prepare a notification requesting to control at least one carrier wave transmission characteristic such that the received power is increased, and transmit the notification to a carrier wave provider transmitting the carrier wave transmission or to a session control unit controlling the ambient internet of things session.


