eNB Congestion Sensing and Reporting for Wireless Resource Control
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Solution Overview
Problem
Current wireless communication systems lack an effective method to address congestion in radio access networks, which leads to inefficient data transmission and resource allocation, as they uniformly treat all data without considering characteristics like user, channel, or type, resulting in unnecessary data delivery and resource accumulation during congestion.
Innovation Solution
The system implements a method for the evolved Node B (eNB) to sense and report congestion to the core network and user equipment, allowing the core network and user equipment to control communication speed based on data characteristics, using congestion information to optimize resource allocation and transmission.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If downlink data are transmitted to the radio access network through the core network at the same communication speed as in non-congestion situations, then the communication speed is maintained, but data are accumulated in the eNB buffer and resources are wasted
Solution Approach 1:
The eNB performs preliminary congestion sensing before data transmission reaches critical levels. By detecting congestion conditions in advance and notifying the core network, the system can proactively reduce communication speed or abandon data transmission before excessive data accumulation occurs in the eNB buffer, preventing resource waste and maintaining system efficiency
Solution Approach 2:
The system implements a feedback mechanism where the eNB continuously monitors congestion status and sends congestion information to the core network. The core network then adjusts data transmission speed based on this feedback, creating a closed-loop control system that dynamically adapts communication speed to actual network conditions, preventing both over-transmission and unnecessary speed reduction
2Productivity
If data are uniformly treated without considering data characteristics, then the system operation is simple, but data transmission efficiency is reduced and congestion cannot be effectively managed
Solution Approach 1:
The system segments data into different categories based on characteristics such as user type, bearer type, and application type. Each data category is then handled with appropriate congestion control strategies, allowing high-priority data to maintain transmission during congestion while low-priority data transmission is reduced or abandoned, thereby improving overall transmission efficiency without requiring complete system redesign
Solution Approach 2:
Different quality of service treatments are applied to different data flows based on their characteristics. The eNB and core network identify specific data characteristics and apply localized congestion control measures tailored to each data type, user, or application, rather than applying uniform treatment to all data, thus optimizing transmission efficiency for each category while maintaining manageable system complexity
Data Source
AI summary
According to one embodiment, a method for controlling congestion at an evolved node B (eNB) in a wireless communication network is provided. This method includes a step of sensing whether the congestion occurs or not; and a reporting step of transmitting congestion information, including whether the congestion occurs or not, to a mobility management entity (MME) or a serving gateway (S-GW). According to another embodiment, a method for controlling the congestion at a packet data network gateway (P-GW) in the wireless communication network is provided. Additionally, apparatuses for implementing these methods are also provided.