MBSFN Measurement Logging for MBMS Service Optimization
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Solution Overview
Problem
In wireless communication systems, particularly in LTE and LTE-Advanced networks, the quality of Multimedia Broadcast Multicast Service (MBMS) is difficult to assess and optimize due to the lack of feedback mechanisms in Multicast-Broadcast Single Frequency Network (MBSFN) transmissions, making it challenging for operators to ensure service quality without costly manual drive tests.
Innovation Solution
A communication device and network controller system that enables automatic logging and reporting of MBSFN measurement results by user equipment (UEs), allowing network controllers to adjust parameters for improving MBMS service quality, such as transmission power and direction, based on collected data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If manual drive tests are used to assess MBMS service quality, then measurement accuracy is improved, but operational cost and time consumption increase
Solution Approach 1:
The system enables user equipment to automatically perform MBSFN measurements and report results to the network controller without requiring manual drive tests. The UE self-services the measurement function by utilizing its own reception capabilities to assess MBMS quality and feed back measurement results, eliminating the need for operator-driven field tests
Solution Approach 2:
A feedback mechanism is established where UEs continuously measure MBSFN signal quality and report results to the network controller. This real-time feedback loop enables the network to automatically adjust transmission parameters based on actual service quality conditions, replacing periodic manual drive tests with continuous automated monitoring
2Measurement precision
If manual drive tests are conducted for MBMS optimization, then service quality assessment is improved, but operational cost increases
Solution Approach 1:
The measurement and reporting function is transferred to user equipment, which performs MBSFN measurements using its existing reception resources. This self-service approach eliminates the need for specialized field testing equipment and personnel, significantly reducing operational costs while maintaining measurement accuracy
Solution Approach 2:
The system implements automated feedback collection where multiple UEs report MBSFN measurement results to the network controller, which then processes this data to assess service quality and optimize network parameters. This automated feedback system replaces expensive manual assessment with low-cost electronic data collection and processing
3Productivity
If automated MBSFN measurement logging is implemented, then productivity is improved, but device complexity increases
Solution Approach 1:
The solution leverages the existing multi-functional capabilities of user equipment, which already possesses MBSFN reception and measurement capabilities for other purposes. By reusing these existing functions for automated quality assessment, the system achieves productivity improvement without adding significant complexity to individual devices
Solution Approach 2:
The network controller serves as an intermediary that coordinates the automated measurement process, collects reports from multiple UEs, processes the measurement data, and generates optimization decisions. This centralised coordination layer manages the complexity of automated operations while keeping individual UE implementations relatively simple
Data Source
AI summary
A communication device includes a communication interfacing unit and a processor. The processor operable to perform operations includes controlling the communication interfacing unit to transmit a first signal to a network controller according to a user-inputted command; logging first MBSFN measurement results in a first period; and controlling the communication interfacing unit to transmit the logged first MBSFN measurement results to the network controller, so that the network controller adjusts at least one parameter of a network corresponding to a MBSFN transmission of a MBMS signal according to the logged first MBSFN measurement results.