Wireless QoS Mapping for EDCA Priority Traffic Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In 5G wireless networks, data traffic congestion leads to increased latency and poor quality of service (QoS) due to improper prioritization of applications, with some applications experiencing high latency despite having low tolerance, while others with low latency tolerance face immediate forwarding, resulting in inefficient resource allocation and congestion handling.
Innovation Solution
A system and method to manage QoS by detecting and classifying data traffic into priority and non-priority categories, modifying the Enhanced Distributed Channel Access (EDCA) function, and allocating Differentiated Services Code Point (DSCP) values based on these categories to optimize traffic handling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If data traffic is not prioritized in intermediate routers, then network device complexity is reduced, but latency increases and QoS deteriorates
Solution Approach 1:
The patent applies preliminary action by pre-configuring priority queues and DSCP value mappings in routers before congestion occurs. Applications register their latency requirements in advance, and the system pre-establishes priority levels and corresponding DSCP values, enabling immediate QoS enforcement when traffic arrives without requiring complex real-time decision-making at intermediate routers.
Solution Approach 2:
The patent introduces an intermediary QoS management system that acts between applications and intermediate routers. This intermediary collects application requirements, determines priority levels, assigns DSCP values, and configures priority queues centrally, eliminating the need for each intermediate router to independently analyze and prioritize traffic, thus reducing router complexity while maintaining low latency.
2Ease of operation
If applications set wrong or no DSCP value, then ease of operation is improved, but QoS management precision deteriorates
Solution Approach 1:
The patent enables self-service by allowing applications to automatically register their latency requirements with the QoS management system. The system then automatically determines appropriate DSCP values and priority levels without requiring manual configuration or expert knowledge from application developers, maintaining ease of operation while ensuring precise QoS management through automated policy enforcement.
Solution Approach 2:
The patent implements feedback mechanisms where the QoS management system monitors actual traffic performance and compares it against application requirements. Based on this feedback, the system dynamically adjusts DSCP value assignments and priority configurations, ensuring that even if applications initially set incorrect values, the system corrects them automatically to maintain precise QoS management.
3Loss of substance
If network devices queue excess traffic during congestion, then loss of substance is reduced, but loss of time increases
Solution Approach 1:
The patent applies segmentation by dividing network traffic into multiple priority queues based on application requirements and DSCP values. High-priority traffic with strict latency requirements is separated from low-priority traffic, allowing each queue to be handled differently during congestion. This ensures that critical traffic experiences minimal queuing delay while less critical traffic can be queued without causing data loss.
Solution Approach 2:
The patent changes the parameter of traffic priority by dynamically adjusting queue priorities and DSCP value assignments based on current network conditions and application requirements. During congestion, the system can elevate the priority of time-sensitive traffic and deprioritize less critical traffic, optimizing the balance between preventing data loss and minimizing queuing delays through parameter adjustment rather than simple FIFO queuing.
Data Source
AI summary
Embodiments herein provide a method for managing Quality of Service (QoS) of applications in a wireless network. Detecting a plurality of data traffic of plurality of applications based on current activities of a user equipment (UE), hardware components of UE, a plurality traffic parameter, a QoS report received from an access point (AP) associated with UE in a wireless network. Detecting an enhanced distributed channel access (EDCA) function based on plurality of data traffic. The EDCA function includes current mapping between access category of each data structure and traffic category of plurality of data traffic based on association. Classifying plurality of data traffic of the plurality of applications into priority data traffic category and non-priority data traffic category based on current mapping of the EDCA function. Modifying current mapping of EDCA function based on priority data traffic category, non-priority data traffic category, and access category of each data structure of plurality of data structures.