5G NR Data Plane Latency Feedback for Reordering Timer Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing 5G NR technologies face challenges in managing latency-related issues in uplink and downlink data planes, leading to inefficiencies in packet handling and acknowledgment processes.
Innovation Solution
Implementing apparatuses with processors configured to detect latency, modify reordering timers, and set latency indicators for queued packets, allowing for aggregated acknowledgments and preventing packet drops based on latency indications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If packets are transmitted in 5G NR uplink and downlink data planes, then data transmission throughput is improved, but latency-related issues and unnecessary packet drops occur
Solution Approach 1:
The patent implements feedback mechanisms where the receiver detects latency associated with queued packets and sends aggregated acknowledgments (ACKs) containing latency indications back to the transmitter. This feedback loop enables the transmitter to adjust reordering timers and avoid dropping packets that are merely delayed rather than lost, thereby maintaining packet delivery reliability while preserving high data transmission throughput.
Solution Approach 2:
The patent dynamically adjusts reordering timers based on detected packet latency. Instead of using fixed timer values, the system modifies reordering timer durations according to actual latency conditions observed in the data plane. This dynamic adaptation allows the system to tolerate variable latency without prematurely discarding packets, resolving the contradiction between maintaining throughput and ensuring reliable delivery.
2Stability of the object's composition
If reordering timers are used to manage packet ordering, then packet delivery order is maintained, but latency detection and unnecessary packet drops increase
Solution Approach 1:
The patent applies preliminary action by having the receiver detect and record latency information for queued packets before the packets are potentially dropped. By proactively measuring latency and incorporating this information into aggregated acknowledgments sent to the transmitter, the system可以避免 unnecessary packet drops while maintaining ordering, thus reducing wasted time from retransmissions.
Solution Approach 2:
The patent merges latency detection functionality with the existing acknowledgment process. Instead of implementing a separate latency detection and reporting mechanism, the system combines latency measurements into aggregated ACKs that are already being used for packet acknowledgment. This integration reduces overhead and time loss while maintaining packet delivery order through coordinated reordering timer management.
3Productivity
If aggregated acknowledgments are implemented, then acknowledgment efficiency is improved, but latency indication processing complexity increases
Solution Approach 1:
The patent makes the acknowledgment mechanism universal by enabling it to serve multiple functions simultaneously: traditional packet acknowledgment and latency indication reporting. The aggregated ACK structure is designed to carry both acknowledgment information and latency measurements in a unified format, allowing the same communication channel and processing logic to handle both functions without requiring separate complexity-heavy systems.
Solution Approach 2:
The patent changes the parameters of the acknowledgment message to include latency indications alongside traditional acknowledgment bits. By modifying the ACK structure to carry additional latency information and implementing corresponding processing logic at the transmitter to interpret these parameters, the system achieves efficient multi-functional acknowledgments without excessive complexity, as the changes build upon existing protocol frameworks.
Data Source
AI summary
Aspects of the disclosure are directed to downlink data plane aspects of communication. Specifically, communication via low latency, low loss, and scalable throughput (L4S).


