Logical Channel Assignment for Synchronized Multimodal XR Uplink
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Solution Overview
Problem
Conventional logical channel prioritization (LCP) procedures in wireless communications systems are inadequate for handling the stringent latency, jitter, and synchronization requirements of multimodal extended reality (XR) applications, which require synchronized parallel media streams for multiple human senses, as they do not consider the inter-dependencies between different logical channels.
Innovation Solution
Enhanced LCP procedures that account for inter-dependencies between different packet data unit (PDU) sets of logical channels (LCHs) by introducing new information and mechanisms for uplink resource allocation, ensuring synchronized communication of multimodal XR traffic by distributing resources based on relative ratios and priorities among LCHs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional logical channel prioritization procedures are used, then device complexity is reduced, but synchronization quality and service reliability deteriorate for multimodal XR applications
Solution Approach 1:
The patent segments the logical channel prioritization process into distinct phases: determining inter-dependency relationships between PDU sets, calculating priority values based on these relationships, and performing resource allocation. This segmentation allows the system to handle complex multimodal synchronization requirements through a structured, multi-step approach rather than a single monolithic procedure.
Solution Approach 2:
The patent performs preliminary determination of inter-dependency relationships between PDU sets of different logical channels before executing the resource allocation. By pre-establishing which PDU sets are related and require synchronized transmission, the system prepares the necessary information in advance, enabling more accurate priority calculation and resource allocation that maintains synchronization quality.
2Reliability
If inter-dependencies between PDU sets are considered, then service reliability improves, but information processing complexity increases
Solution Approach 1:
The patent introduces an intermediary mechanism in the form of priority value calculations that mediate between the inter-dependency relationships of PDU sets and the final resource allocation decisions. The priority value serves as a computed intermediate representation that encapsulates the complex inter-dependency information, making it easier to process during resource allocation without requiring direct handling of all relationship details.
Solution Approach 2:
The patent transforms the abstract concept of inter-dependency relationships into concrete priority values through parameter changes. By converting relationship information into quantifiable priority metrics, the system enables more efficient information processing during resource allocation while maintaining the reliability benefits of considering inter-dependencies.
3Reliability
If synchronized parallel media streams are transmitted, then user experience improves, but latency requirements become more stringent
Solution Approach 1:
The patent implements a feedback mechanism where the determined priority values based on inter-dependency relationships feed back into the resource allocation process. This feedback loop ensures that resources are allocated in a way that maintains synchronization across different media streams, preventing transmission delays that would degrade user experience while optimizing overall system efficiency.
Solution Approach 2:
The patent introduces dynamic priority value calculations that adapt to the specific inter-dependency relationships present in each transmission scenario. Rather than using static priority assignments, the system dynamically determines priorities based on the actual relationships between PDU sets, allowing flexible adaptation to different synchronization requirements and reducing unnecessary latency.
Data Source
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AI summary
The present disclosure relates to a device that incorporates and a method that provides for wireless communication with multimodal traffic such as multi-sensor eXtended Reality (XR) traffic or data having stringent end-to-end latency, jitter, and synchronization requirements. The method includes receiving, via a transceiver of a user device on a downlink from a network device, control message(s) containing logical channel configuration of logical channels, including a priority value associated with each logical channel and an uplink resource allocation grant. The method includes determining an amount of multi-modal traffic that is inter-dependent requiring synchronized communication. The method includes assigning resources allocated by the uplink grant to each of the logical channels according to the respective ratio and the amount of data buffered for the logical channels. The method includes transmitting a multiplexed uplink signal containing the multi-modal traffic of the logical channels, utilizing the uplink resource allocation grant.