UE Aggregation via Assistant UEs for Hidden Downlink Decoding
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing 3GPP TSs for NR wireless networks do not effectively address the challenges of user equipment (UE) aggregation for improved downlink communications, particularly in scenarios where assistant UEs are hidden from the base station, leading to inefficiencies in decoding and retransmission processes.
Innovation Solution
The implementation of UE aggregation techniques that allow target UEs to identify and configure assistant UEs for downlink communication support, including configuration information exchange, trigger requests, and coordinated forwarding of decoded data blocks through sidelink interfaces, with base station involvement in managing aggregated UEs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If assistant UEs are hidden from the base station, then downlink communication reliability is improved through additional decoding support, but system complexity increases due to coordinated forwarding mechanisms
Solution Approach 1:
The patent introduces assistant UEs as intermediary devices that receive downlink transmissions from the base station and forward decoded data blocks to the target UE. This mediator approach allows hidden UEs to contribute to decoding without direct base station management, improving reliability while managing complexity through decentralized coordination.
Solution Approach 2:
Assistant UEs autonomously perform decoding operations and self-organize the forwarding process without requiring complex base station coordination. Each assistant UE independently decodes received transmissions and contributes results to the aggregation, reducing overall system complexity while maintaining enhanced reliability.
2Reliability
If multiple UEs are aggregated for downlink communication, then decoding success rate is improved through combined resources, but latency increases due to coordinated forwarding processes
Solution Approach 1:
Assistant UEs perform decoding operations in parallel as preliminary actions while the target UE is still receiving the transmission. This allows decoding work to be prepared in advance, reducing the overall time required for successful data retrieval despite the coordinated forwarding process.
Solution Approach 2:
The decoding task is segmented and distributed across multiple assistant UEs, with each UE handling specific portions of the decoding process. This parallel segmentation of the decoding workload reduces total processing time compared to sequential processing, mitigating the latency introduced by coordination overhead.
3Productivity
If assistant UEs are configured for hidden scenarios, then communication efficiency is improved through resource leveraging, but device complexity increases due to configuration and management overhead
Solution Approach 1:
Assistant UEs are designed with multi-functionality, serving both as regular communication devices and as decoding support nodes. This universal design allows them to leverage existing resources and capabilities without requiring specialized dedicated hardware, improving communication efficiency while minimizing configuration complexity.
Data Source
AI summary
The present application relates to devices and components including apparatus, systems, and methods for UE aggregation for downlink communications in wireless networks.