Ambient IoT Reader Coordination Using Network-Controlled Measurement Gaps
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Solution Overview
Problem
Existing 3GPP technologies face challenges in efficiently coordinating the activation and reading of Ambient Internet of Things (AIoT) devices operating on different carrier frequencies or under different serving cells, as current measurement gap configurations do not account for the large number of potential AIoT devices and require complex implementation of the 3GPP communication stack, leading to inefficiencies and increased power consumption.
Innovation Solution
A network-controlled approach is introduced, allowing for the coordination of activator and reader devices across different serving cells through network-controlled resource scheduling and measurement gaps, enabling efficient coexistence of AIoT and cellular communications without the need for full 3GPP stack implementation in AIoT devices.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If measurement gap configurations are used to coordinate AIoT devices, then resource allocation is enabled, but device complexity and power consumption increase due to full 3GPP stack implementation requirements
Solution Approach 1:
The patent extracts the complex 3GPP stack implementation requirements from AIoT devices by introducing network-controlled coordination. The network assumes the role of managing measurement gaps and resource allocation, allowing AIoT devices to operate with minimal local processing capability while still achieving efficient resource utilization through centralized network control.
Solution Approach 2:
The network acts as an intermediary between AIoT devices and the communication infrastructure. By controlling measurement gaps and coordinating resources at the network level, the system enables efficient resource allocation without requiring AIoT devices to implement complex 3GPP stacks, thus reducing device complexity while maintaining productivity.
2Use of energy by moving object
If AIoT devices operate without dedicated power sources, then power consumption is reduced, but coordination between devices across different serving cells becomes more difficult
Solution Approach 1:
AIoT devices operate in a self-service manner by listening for activation signals from activators without requiring their own power sources. The network-controlled measurement gap mechanism automatically coordinates when these devices should be active or inactive, eliminating the need for complex power management while maintaining ease of operation through automated network coordination.
Solution Approach 2:
The network serves as an intermediary that manages the coordination challenges between AIoT devices across different serving cells. By controlling measurement gaps and activation signals at the network level, the system enables power-efficient operation without increasing coordination difficulty, as the network automatically synchronizes device activity across cell boundaries.
3Object-affected harmful factors
If network-controlled resource scheduling is implemented, then interference is mitigated, but implementation complexity increases at the network side
Solution Approach 1:
The network performs preliminary action by pre-configuring measurement gaps and activation signals before AIoT devices need to operate. This advance preparation allows the network to control when devices are active or inactive, mitigating interference between devices across different serving cells through proactive coordination rather than reactive interference management.
Solution Approach 2:
The network implements feedback mechanisms to monitor and adjust measurement gap configurations in real-time. By receiving status information from AIoT devices and activators, the network can dynamically modify resource allocation to mitigate interference, balancing the implementation complexity at the network side with effective interference management.
Data Source
AI summary
A reader device includes means for receiving first information that is for receiving an ambient internet of things, IoT, response from an ambient IoT device, wherein the ambient IoT device is activated by a transmission from an activator device, means for, based on receiving the first information, transmitting positioning reference signals, means for receiving second information from at least one further user equipment, the second information relating to the positioning reference signals, and receiving a positioning reference signal from the at least one further user equipment, means for determining a delay associated with each further user equipment based on the received second information and the received positioning reference signal, means for determining at least one activator device from the at least one further user equipment based on the determined delay and means for configuring an activation session at the determined at least one activator device based on the first information.