UE Relay Scheduling for Ambient IoT Traffic Collision Control
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Solution Overview
Problem
Existing communication networks face challenges in efficiently scheduling and managing traffic for low-complexity, low-power ambient Internet-of-Things (A-IoT) devices, particularly in scenarios where user equipment (UE) needs to relay data to and from these devices, due to limitations in resource allocation and collision resolution.
Innovation Solution
The implementation of a user-plane protocol stack on the UE, enabling it to act as an intermediate node for A-IoT traffic, with network-assisted scheduling through A-IoT scheduling requests (ASR) and grants, and prioritization rules to manage collisions between uplink and downlink transmissions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If UE relays A-IoT traffic through user-plane protocol stack, then A-IoT traffic handling efficiency is improved, but collision between uplink and downlink transmissions occurs
Solution Approach 1:
The patent segments the transmission timeline by introducing a gap between uplink and downlink transmissions. The UE is configured to transmit uplink data first, then wait for a specified gap duration before transmitting downlink data. This temporal segmentation prevents collision between uplink and downlink transmissions while maintaining efficient A-IoT traffic handling through the user-plane protocol stack.
2Productivity
If UE transmits uplink and downlink data continuously, then throughput is improved, but transmission collision occurs
Solution Approach 1:
The patent implements dynamic transmission scheduling where the UE determines transmission timing based on configured parameters. The gap duration between uplink and downlink transmissions is dynamically adjusted based on network conditions and UE configuration, allowing the system to optimize throughput while preventing collisions through adaptive temporal separation.
3Adaptability or versatility
If UE acts as intermediate node for A-IoT traffic, then network coverage is improved, but resource allocation complexity increases
Solution Approach 1:
The patent enables the UE to autonomously manage A-IoT traffic relay operations. The UE self-configures transmission timing, manages its own buffer status, and determines when to transmit uplink or downlink data without requiring complex network coordination. This self-service approach extends network coverage while keeping resource allocation management simple at the UE level.
Data Source
AI summary
The present application relates to devices and components, including apparatus, systems, and methods for scheduling the relaying of ambient Internet-of-things (A-IoT) traffic by a user equipment (UE).