Dynamic QoS Management for eMBMS Services
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Solution Overview
Problem
Conventional methods for managing Quality of Service (QoS) in Evolved Multimedia Broadcast Multicast Service (eMBMS) systems fail to detect and address QoS issues effectively, leading to poor user experience due to static QoS parameter configuration and inability to identify the exact point of issue within the network.
Innovation Solution
A method and system that dynamically detect similar popularity indices among MBMS services, identify QoS issues, and modify QoS parameters based on consumption and Quality of Experience (QoE) reports to determine the affected network elements, allowing for targeted QoS tuning.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If QoS parameters are configured statically by service provider settings, then network configuration is simple, but QoS performance deteriorates when service popularity changes
Solution Approach 1:
The patent implements dynamic QoS parameter adjustment by continuously monitoring service popularity indices and automatically modifying QoS parameters based on detected changes. The system transitions from static service provider configuration to dynamic network-driven adjustment, where QoS parameters are updated in real-time according to actual service demand and popularity metrics.
Solution Approach 2:
The patent establishes a feedback mechanism where the network node monitors service popularity indices, detects changes in service demand, and uses this information to adjust QoS parameters. The system continuously receives feedback from popularity index measurements and uses this feedback to iteratively optimize QoS configuration, ensuring performance adapts to changing conditions.
2Reliability
If QoS parameters are tuned for all network elements, then overall service coverage is improved, but the ability to identify specific issue points is lost
Solution Approach 1:
The patent segments the network into distinct monitoring zones by identifying specific network elements (eNBs, MBSFN areas, core network nodes) where QoS issues occur. Instead of treating all network elements uniformly, the system divides them into individual monitorable units, allowing precise identification of which specific segment is experiencing QoS degradation while still maintaining overall service coverage.
Solution Approach 2:
The patent applies local quality by enabling differentiated QoS monitoring and adjustment for specific network elements based on their individual performance characteristics. The system can identify and address QoS issues at the level of individual eNBs or MBSFN areas, applying localized quality improvements rather than uniform adjustments across the entire network.
3Device complexity
If conventional QoS tuning methods are used, then system complexity is low, but the ability to detect and respond to QoS issues dynamically is insufficient
Solution Approach 1:
The patent implements self-service by enabling the network system to automatically monitor its own QoS performance, detect popularity index changes, and adjust QoS parameters without external intervention. The network node performs self-diagnosis and self-optimization by continuously monitoring service popularity and automatically responding to detected changes, reducing the need for manual configuration while enhancing dynamic adaptability.
Data Source
AI summary
Embodiments herein provide a method for managing Quality of Service (QoS) for multiple Evolved Multimedia Broadcast Multicast Service (eMBMS) services in a wireless communication system. The method includes detecting, by a network node, more than one Multimedia Broadcast-Multicast Service (MBMS) services in a group of MBMS services have a similar popularity index. Further, the method includes identifying, by the network node, which eMBMS service has more number of users facing Quality of Experience (QoE) issues, in response to detecting that the more than MBMS service in the group of MBMS services have the similar popularity index. Further, the method includes localizing, by the network node, whether the QoE issue is from at least one of the core network, the access network, the single eNB or a complete Multimedia Broadcast Single Frequency network (MBSFN) area. Furthermore, the method includes dynamically modifying, by the network node, QoS parameters based on the identification of the QoS issue.