UE Downlink Congestion Control via Dynamic Parameter Adjustment
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Solution Overview
Problem
Existing wireless communication systems face challenges in effectively detecting and mitigating downlink packet congestion, particularly in cellular connections, due to incomplete congestion metrics and inadequate congestion control mechanisms.
Innovation Solution
A wireless device, such as a user equipment (UE), measures various congestion metrics, estimates packet congestion, and modifies connection parameters, such as acknowledgment rates and receiver window sizes, to reduce packet congestion and improve throughput.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the UE transmits data packets at a high rate to improve throughput, then productivity increases, but packet congestion occurs leading to packet loss and reduced reliability
Solution Approach 1:
The UE measures congestion metrics (packet loss rate, RAN congestion indicators) and uses this feedback to dynamically adjust connection parameters. The system continuously monitors network conditions and modifies transmission behavior based on real-time congestion feedback, resolving the contradiction between maintaining high throughput and ensuring reliable packet delivery.
Solution Approach 2:
The connection parameters (acknowledgment rate, receiver window size) are made dynamic rather than static. The UE adapts these parameters in real-time based on measured congestion metrics, allowing the system to optimize throughput while preventing packet loss by adjusting transmission characteristics according to current network conditions.
2Measurement precision
If the UE uses multiple congestion metrics to improve detection accuracy, then measurement precision increases, but device complexity increases
Solution Approach 1:
The congestion detection mechanism is segmented into distinct metric types: RAN-specific congestion metrics and transport/application layer metrics. This segmentation allows the UE to measure and process different aspects of congestion separately, improving detection accuracy while managing complexity through structured measurement approaches.
Data Source
AI summary
Methods, systems, and devices for wireless communication are described. In some wireless communications systems, a receiving device, such as a user equipment (UE), may reduce packet congestion associated with communications between the receiving device and a transmitting device, such as a server, via a radio access network (RAN). The receiving device may measure congestion metrics associated with receiving data packets from the transmitting device via the RAN. The congestion metrics may include RAN congestion metrics and transport or application layer congestion metrics associated with the network connection between the receiving device and the transmitting device. The receiving device may estimate packet congestion at the receiving device according to the measured congestion metrics. The receiving device may modify connection parameters of the network connection based on the estimated packet congestion. The receiving device may communicate with the transmitting device over the network connection in accordance with the modified connection parameters.


