V2X Resource Allocation Using Priority-Based Segmentation
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Solution Overview
Problem
Current resource allocation mechanisms in wireless mobile communication networks, particularly for V2X communication, fail to meet stringent latency requirements due to long latency and excessive signaling, leading to inefficiencies and collisions, especially under high load conditions.
Innovation Solution
A method and system that configure data transmission periods and resource allocations based on priority levels, using Semi-persistent Scheduling (SPS) for high-priority data, Quasi Scheduling Assignment (SA) for medium-priority data, and Enhanced Contention-Based allocation for low-priority data, with a self-resource indicator to optimize resource use and reduce collisions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If centralized resource allocation is used for V2X communication, then resource utilization efficiency is improved, but transmission latency increases due to excessive signaling overhead
Solution Approach 1:
The patent segments resource allocation into multiple types (Type 1, Type 2, Type 3) based on QoS requirements and traffic patterns. Type 1 provides centralized allocation for high-latency-tolerant traffic, Type 2 provides semi-persistent allocation for periodic traffic, and Type 3 provides distributed allocation for low-latency traffic. This segmentation allows the system to optimize for different performance requirements simultaneously, reducing overall latency while maintaining resource utilization efficiency.
Solution Approach 2:
The patent implements dynamic resource allocation where the network can switch between different allocation types based on real-time traffic conditions and QoS requirements. The system dynamically adjusts allocation parameters such as periodicity, resource pool configuration, and grant timing to match actual traffic patterns, thereby reducing signaling overhead and latency while maintaining efficient resource utilization.
2Loss of time
If dynamic resource allocation is used for each scheduling period, then latency for event-triggered messages is reduced, but signaling overhead and resource waste increase
Solution Approach 1:
The patent implements semi-persistent scheduling (Type 2 allocation) that provides periodic resource allocation for predictable traffic patterns. Resources are allocated in advance for multiple transmission opportunities, reducing the need for continuous signaling. The system configures periodicity parameters that match the traffic pattern, allowing UEs to transmit without requesting resources for each transmission, thereby reducing signaling overhead while maintaining low latency for periodic traffic.
Solution Approach 2:
The patent changes allocation parameters dynamically based on traffic type and QoS requirements. For event-triggered messages, the system adjusts the grant timing and resource pool configuration to provide faster access. The network can modify periodicity, resource pool size, and allocation timing parameters to optimize between latency and signaling overhead based on actual traffic conditions.
3Loss of energy
If distributed resource allocation is used, then signaling overhead is reduced, but resource collision probability increases under high load conditions
Solution Approach 1:
The patent applies different allocation strategies to different resource pools and traffic types based on local requirements. High-priority traffic with stringent latency requirements uses centralized or semi-persistent allocation with dedicated resource pools, while low-priority traffic uses distributed allocation. This local optimization reduces collisions for critical traffic while maintaining low signaling overhead for non-critical traffic.
Solution Approach 2:
The patent implements feedback mechanisms where UEs report channel conditions, buffer status, and collision experiences to the network. The network uses this feedback to adjust resource pool configuration, allocation parameters, and collision resolution strategies. This feedback loop enables the system to adapt to high load conditions and reduce collision probability while maintaining efficient resource utilization.
4Speed
If resource allocation is optimized for low latency, then transmission speed is improved, but resource utilization efficiency decreases due to redundant allocations
Solution Approach 1:
The patent implements dynamic resource allocation where the system adjusts allocation parameters based on real-time traffic conditions. For low-latency traffic, the network provides faster grant timing and prioritized resource allocation. For periodic traffic with predictable patterns, the system optimizes periodicity and resource pooling to reduce redundant allocations. This dynamic adaptation allows the system to achieve high transmission speed for urgent traffic while maintaining resource utilization efficiency for predictable traffic.
Solution Approach 2:
The patent changes allocation parameters such as grant timing, periodicity, and resource pool configuration based on traffic type and QoS requirements. For low-latency traffic, the system reduces grant timing and provides immediate resource allocation. For periodic traffic, the system optimizes periodicity parameters to match actual traffic patterns, reducing redundant allocations. This parameter optimization allows the system to achieve high speed for urgent traffic while maintaining resource efficiency.
Data Source
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AI summary
A resource allocation method in radio mobile communication comprises: a base station allocates a priority level to each of data resource pool sets; the base station configures, according to the priority level of each of the data resource pool sets, a data transmission period and resource allocation of each of the data resource pool sets; and a mobile terminal acquires associations between the data resource pool sets in radio mobile communication and the allocation priority levels corresponding thereto.