Multicast Channel Scheduling Information Decoding
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Solution Overview
Problem
Current multicast/broadcast transmission techniques face inefficiencies in managing different Block Error Rates (BLER) for various services, leading to suboptimal Quality of Service (QoS) and increased battery consumption in User Equipment (UE) due to the need for decoding scheduling information with potentially higher BLERs.
Innovation Solution
Configuring separate transmission requirements for scheduling information and data within a multicast channel, using different Modulation and Coding Schemes (MCS) for scheduling information subframes compared to data subframes, ensuring a low BLER for scheduling information to ensure correct decoding and efficient UE operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If separate transmission requirements with different MCS are used for scheduling information and data subframes, then decoding accuracy of scheduling information is improved, but system complexity increases
Solution Approach 1:
The patent segments the multicast channel into two distinct types of subframes: scheduling information subframes and data subframes. Each subframe type is configured with its own specific MCS, allowing scheduling information to be transmitted with higher reliability (lower BLER) while data subframes use MCS optimized for their specific requirements. This segmentation resolves the contradiction by applying different transmission parameters to different parts of the channel, improving scheduling information decoding without requiring complete system redesign.
Solution Approach 2:
The patent applies the local quality principle by assigning different MCS characteristics to different subframe locations based on their specific functional requirements. Scheduling information subframes (e.g., first subframe in a scheduling interval) receive more robust modulation and coding parameters to ensure reliable decoding, while data subframes use MCS optimized for their data rate and error tolerance requirements. This localized optimization improves overall system efficiency without uniformly increasing complexity across all transmissions.
2Productivity
If UE decodes scheduling information with higher BLER, then resource usage is reduced, but battery consumption increases due to repeated wake-ups
Solution Approach 1:
The patent implements preliminary action by ensuring that scheduling information is transmitted with sufficiently low BLER (through appropriate MCS selection) so that UE can reliably decode it in the first subframe. This allows UE to determine the complete scheduling pattern for all services in advance, plan their wake-up schedule accordingly, and avoid unnecessary wake-ups. The preliminary reliable transmission of scheduling information enables UE to optimize their power consumption by sleeping during periods when no scheduled services are active.
Solution Approach 2:
The patent establishes a feedback mechanism where UE decode scheduling information and use it to determine future wake-up times. The reliable decoding of scheduling information (achieved through separate MCS configuration) provides accurate feedback about when services will be transmitted, allowing UE to adjust their power consumption patterns. This feedback loop enables UE to wake up only when necessary, reducing battery consumption while maintaining efficient resource usage.
3Reliability
If multiple MCHs with different MCS are configured, then QoS for different services is improved, but device complexity increases
Solution Approach 1:
The patent introduces dynamics by allowing the MCS to change over time within a single MCH configuration. Instead of requiring multiple static MCHs with fixed MCS, the system dynamically assigns different MCS to different subframe types (scheduling vs. data) within the same MCH. This temporal dimension to MCS assignment provides the flexibility needed to support different QoS requirements while maintaining a simpler single-MCH structure, reducing device complexity compared to multiple MCH approaches.
Data Source
AI summary
The present disclosure relates to a technique for configuring transmission of a multicast channel carrying scheduling information and data belonging to one or more multicast services, the scheduling information indicating scheduling of the multicast services mapped to the multicast channel. A method embodiment comprises the steps of configuring (404) the transmission of the scheduling information on the multicast channel based on a scheduling information specific transmission requirement and configuring (404) the transmission of the data belonging to the one or more multicast services based on a service specific transmission requirement; and signalling (406) the scheduling information specific transmission requirement and the service specific transmission requirement.