Wireless Traffic Ingress Rate Control for Session Scheduling
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing wireless communication networks face challenges in efficiently managing and classifying wireless traffic based on ingress rates, leading to suboptimal throughput and reliability, particularly for high-throughput or low-latency applications.
Innovation Solution
Implementing techniques to detect when a wireless communication session satisfies an ingress rate threshold, allowing for adjustments in communication parameters such as moving to higher capacity links, allocating additional links, and updating scheduling priorities to enhance throughput and reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If wireless communication networks use conventional traffic management methods, then device complexity remains low, but throughput and reliability are suboptimal
Solution Approach 1:
The patent implements feedback mechanisms where wireless nodes monitor their actual throughput and buffer status, then use this information to adjust transmission parameters and traffic routing decisions dynamically, creating a closed-loop traffic management system that adapts to changing network conditions
Solution Approach 2:
The system dynamically adjusts traffic management parameters such as transmission rates, buffer allocation, and routing paths based on real-time ingress rate measurements and network conditions, transitioning from static to adaptive traffic management approaches
2Reliability
If wireless nodes increase buffer capacity to handle high ingress rates, then reliability improves, but device complexity and resource consumption increase
Solution Approach 1:
The patent implements dynamic buffer allocation where buffer capacity is adjusted in real-time based on actual traffic patterns and ingress rates, allowing nodes to allocate more buffer resources during high-traffic periods and reduce capacity during low-activity periods, thereby maintaining reliability while minimizing resource consumption
Solution Approach 2:
The system changes buffer management parameters such as buffer size, allocation strategies, and timeout values based on measured ingress rates and traffic characteristics, optimizing buffer utilization without requiring excessive buffer capacity to be pre-allocated
3Productivity
If the network implements sophisticated traffic classification based on ingress rates, then throughput optimization improves, but measurement and detection difficulty increases
Solution Approach 1:
The patent uses feedback from actual packet reception and transmission statistics to infer ingress rates and traffic characteristics, allowing the system to classify traffic types and optimize throughput based on observed behavior rather than requiring complex measurement infrastructure
Solution Approach 2:
The system performs self-measurement of traffic characteristics by monitoring its own transmission and reception statistics, eliminating the need for external measurement devices or complex monitoring infrastructure while still achieving accurate traffic classification for optimization purposes
Data Source
AI summary
This disclosure provides methods, components, devices and systems for traffic estimation and wireless actions based on wireless traffic ingress rates. Some aspects relate to traffic management techniques improve wireless communications based on ingress rates. In some examples, a wireless device may detect that a wireless communication session or a wireless node, is associated with an ingress rate that satisfies an ingress rate threshold. Based on detecting that a wireless node satisfies an ingress rate threshold, the wireless device may adjust a set of communication parameters for a wireless node. Further, based on detecting that a wireless communication session satisfies an ingress rate threshold, the wireless device may update the scheduling priority of the wireless communication session. Additionally, or alternatively, the wireless device may both adjust the set of communication parameters of a wireless node and update the scheduling priority of a wireless communication session based on the detection.