Resource Allocation for Ambient IoT Clusters to Reduce Collisions

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Solution Overview

Problem

Ambient IoT systems face challenges with high collision rates due to a large number of devices attempting to communicate simultaneously, leading to unreliable communications and resource allocation inefficiencies.

Innovation Solution

Implementing a cluster-based resource allocation scheme where intermediate nodes or UEs act as cluster heads, scheduling transmissions and reducing collisions through energy detection, random resource selection, and congestion control, along with signaling mechanisms to manage device associations and resource assignments.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Quantity of substance

If a large number of ambient IoT devices attempt to communicate simultaneously, then device connectivity and system coverage are improved, but collision rates increase and communication reliability deteriorates

Engineering Contradiction:

Improvenumber of devicesVSAvoidcommunication reliability

Core Design Contradiction:

Quantity of substanceVSReliability

Solution Approach 1:

The system segments the large number of ambient IoT devices into smaller clusters, each managed by a cluster head. This segmentation reduces the number of devices attempting to communicate simultaneously on the same resources, thereby reducing collision rates while maintaining overall system capacity and reliability.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

Cluster heads act as intermediary nodes between ambient IoT devices and the network. They coordinate resource allocation and manage communications within their clusters, reducing direct collisions between devices while maintaining reliable communication paths through the hierarchical structure.

Inventive Principle:

Principle #24Intermediary (Mediator)

2Device complexity

If distributed resource allocation is implemented to reduce base station complexity, then device autonomy is improved, but resource coordination becomes more difficult and collision rates increase

Engineering Contradiction:

Improvebase station complexityVSAvoidresource coordination

Core Design Contradiction:

Device complexityVSReliability

Solution Approach 1:

The distributed resource allocation is segmented into cluster-level management, where cluster heads handle local resource coordination. This reduces the complexity burden on individual base stations while maintaining effective resource coordination through localized decision-making at the cluster level.

Inventive Principle:

Principle #1Segmentation

Solution Approach 2:

Cluster heads perform preliminary resource allocation and coordination within their clusters before devices attempt communication. This preliminary action prevents resource conflicts and reduces the need for complex centralized coordination, maintaining reliability while distributing complexity.

Inventive Principle:

Principle #10Preliminary action

3Reliability

If cluster-based resource allocation is implemented to reduce collisions, then communication reliability is improved, but system complexity and signaling overhead increase

Engineering Contradiction:

Improvecommunication reliabilityVSAvoidsystem complexity

Core Design Contradiction:

ReliabilityVSDevice complexity

Solution Approach 1:

Cluster heads autonomously perform resource allocation and coordination within their clusters without requiring extensive centralized control. This self-service approach improves communication reliability through localized optimization while minimizing the signaling overhead and complexity associated with centralized management.

Inventive Principle:

Principle #25Self-service

4Productivity

If intermediate nodes act as cluster heads to manage device associations, then resource allocation efficiency is improved, but signaling overhead and protocol complexity increase

Engineering Contradiction:

Improveresource allocation efficiencyVSAvoidsignaling overhead

Core Design Contradiction:

ProductivityVSLoss of information

Solution Approach 1:

The system extracts and localizes resource allocation functions at the cluster head level, eliminating the need for extensive centralized signaling for each device. This extraction improves resource allocation efficiency by enabling localized decisions while reducing the signaling overhead that would otherwise be required for centralized coordination.

Inventive Principle:

Principle #2Taking out (Extraction)

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 collision rates, enhances communication reliability, and optimizes resource utilization in ambient IoT systems, enabling efficient communication with a large number of devices over extended ranges.

Implementation Method 1

receiving, from a first ambient IoT device among the ambient IoT devices, a first backscattered signal based on the first energizing signal and the advertisement signal

Methodology Applied

Scientific EffectBackscattering:

Data Source

PatentUS20250220654A1Method and apparatus for resource allocation of ambient internet of things

Publication Date: 2025.07.03 SAMSUNG ELECTRONICS CO LTD

AI summary

An apparatus and a method are disclosed for resource allocation in ambient IoT systems. A method performed by a first device in an ambient IoT system includes activating as a cluster head for ambient IoT devices, in response to a first condition being met; transmitting a first energizing signal to the ambient IoT devices on a first carrier frequency; transmitting an advertisement signal to the ambient IoT devices; and receiving, from a first ambient IoT device among the ambient IoT devices, a first backscattered signal based on the first energizing signal and the advertisement signal.