MBS Measurement Logging Configuration for Wireless Networks
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Solution Overview
Problem
Current wireless communication networks face challenges in verifying the performance of Multicast and Broadcast services without feedback from User Equipment (UE) for received transmissions, particularly in scenarios where Quality of Service (QoS) requirements are not met, and conventional drive tests are costly and inefficient for assessing coverage and QoS.
Innovation Solution
Implementing dedicated and common MBS measurements logging configurations, RRC connection establishment, and RRC connection resume procedures to enable UE-assisted measurement collection, allowing the network to configure UEs to log and report MBS measurements, thereby enabling the network to verify MBS transmission performance and adjust operations accordingly.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional drive tests are used to assess MBS coverage and QoS, then measurement data can be collected, but the process becomes costly and inefficient
Solution Approach 1:
The network utilizes UE devices themselves to perform measurements and collect MBS performance data during normal operation, eliminating the need for external drive tests. UEs autonomously log MBS measurements based on network configuration and report them when needed, making the system self-diagnosing and self-measuring.
Solution Approach 2:
The patent establishes a feedback mechanism where UEs continuously measure MBS transmission quality and report results to the network. This feedback loop enables real-time monitoring of MBS coverage and QoS, allowing the network to adjust transmissions based on actual received quality without manual intervention.
2Reliability
If UE feedback is enabled for MBS transmissions, then transmission performance can be verified, but the complexity of the system increases
Solution Approach 1:
The network configures UEs with measurement logging parameters in advance before actual MBS transmissions begin. This preliminary configuration includes setting up measurement objects, reporting configurations, and criteria for when measurements should be taken and reported, simplifying the overall process by preparing everything beforehand.
Solution Approach 2:
The measurement and reporting process is divided into distinct configurable components: measurement objects (what to measure), reporting configurations (how and when to report), and triggering conditions (when to initiate reporting). This segmentation allows flexible, granular control over feedback mechanisms without requiring complex integrated systems.
3Measurement precision
If MBS measurements are logged and reported by UEs, then real-time performance verification is achieved, but the network signaling overhead increases
Solution Approach 1:
Instead of continuous reporting, the system uses periodic measurement logging where UEs collect measurements over defined time intervals and report at predetermined moments. This periodic approach reduces signaling overhead compared to real-time continuous reporting while still providing timely performance verification data.
Solution Approach 2:
The network configures UEs to report measurements selectively based on predefined criteria such as threshold violations or specific event triggers. Rather than reporting all measurements continuously, only relevant or anomalous measurements are transmitted, reducing overall signaling overhead while maintaining effective monitoring.
Data Source
AI summary
Apparatuses, methods, and systems are disclosed for collecting MBS measurements in a communication network. One apparatus includes a processor and a transceiver that sends a first message to a communication device and receives a second message from the communication device. Here, the first message includes a configuration for logging MBS measurements and the second message includes a set of logged measurement results for at least one MBS service of interest. The processor controls MBS operation in a communication network based on the logged measurement results collected from the communication device.