Per-Packet Tag Resource Pool Selection in LTE V2X
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Solution Overview
Problem
Existing approaches for LTE-based V2X communication struggle to effectively differentiate and manage varying quality of service (QoS) requirements for diverse traffic types, such as V2V, V2P, and V2I, due to limitations in existing ProSe Per-Packet Priority mechanisms, which are not satisfactory for V2X scenarios.
Innovation Solution
Implementing an inter-layer signaling mechanism that generates a per-packet tag indicating parameters like traffic type, periodicity, latency, and device type, allowing for dynamic mapping to logical channels and resource selection, enabling optimized resource allocation for V2X communications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing ProSe Per-Packet Priority mechanisms are used for V2X communication, then basic packet prioritization is provided, but the mechanism cannot effectively differentiate and manage varying QoS requirements for diverse traffic types (V2V, V2P, V2I)
Solution Approach 1:
The patent segments the resource pool into multiple dedicated resource pools, each configured for specific traffic types or QoS requirements. This segmentation enables the system to handle diverse V2X traffic (V2V, V2P, V2I) with different QoS needs by directing each packet to the appropriate resource pool based on its requirements, thereby improving adaptability without significantly increasing overall system complexity
Solution Approach 2:
The patent applies local quality by configuring different resource pools with specific parameters tailored to particular traffic types. Each resource pool can have customized time-frequency resources, transmission parameters, and scheduling policies optimized for its intended traffic type, allowing localized optimization for different QoS requirements while maintaining a unified resource management framework
2Productivity
If per-packet tag generation and inter-layer signaling is implemented, then optimized resource allocation for different V2X traffic types is achieved, but signaling overhead and processing complexity increase
Solution Approach 1:
The patent implements preliminary action by pre-configuring multiple resource pools with specific parameters before actual V2X communication occurs. The network pre-defines resource pools for different traffic types (V2V, V2P, V2I) and their QoS requirements, so that when packets arrive, they can be quickly mapped to appropriate pre-configured pools based on simple tag matching, avoiding complex real-time resource allocation decisions
Solution Approach 2:
The patent introduces an intermediary tag mechanism that carries QoS information from the application layer to the physical layer. This tag acts as a mediator that simplifies the interface between layers by encapsulating complex QoS requirements into standardized fields that can be easily processed by the MAC layer for resource pool selection, reducing the processing burden on each layer
3Reliability
If multiple dedicated resource pools are configured for different traffic types, then QoS requirements are met, but network configuration and resource management become more complex
Solution Approach 1:
The patent applies universality by designing a unified resource pool configuration framework that can accommodate multiple traffic types and QoS requirements. The same basic resource pool structure and management mechanisms are used for V2V, V2P, and V2I traffic, with the flexibility to configure different parameters for each pool. This universal approach allows the network to handle diverse QoS requirements while maintaining consistent management procedures
Solution Approach 2:
The patent utilizes parameter changes by allowing flexible configuration of resource pool parameters such as time-frequency resources, transmission power, and scheduling intervals based on traffic type requirements. The network can adjust these parameters to meet different QoS needs without changing the fundamental resource pool structure, enabling QoS differentiation through parameter tuning rather than structural complexity
Data Source
AI summary
A method in a node is disclosed. The method comprises generating a tag for an associated data packet at a first layer, the generated tag indicating one or more parameters related to transmission of the associated data packet. The method comprises signaling the tag from the first layer to another layer. The method comprises mapping, at the another layer, the associated data packet to a logical channel based on the one or more parameters indicated by the tag, and selecting one or more resources for transmission of the associated data packet based on the mapping of the associated data packet to the logical channel.