Autonomous Resource Pool Selection for 5G Sidelink
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Solution Overview
Problem
Current wireless communication systems, particularly in 5G NR, face challenges in efficiently managing resource allocation for sidelink communications, especially in scenarios where devices need to autonomously select resources without continuous network coverage, affecting reliability and latency in vehicle-to-everything (V2X) applications.
Innovation Solution
The implementation of a method where a wireless device receives a configuration of resource pools for autonomous resource selection and autonomously selects a resource pool for sidelink communications based on available data, allowing for efficient sidelink transmission even outside network coverage, by using sidelink resource allocation mode 2, which enables UE autonomous resource selection from pre-configured pools.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If network-controlled resource allocation is used, then resource management is centralized and reliable, but network coverage is required and latency increases
Solution Approach 1:
The patent segments resource allocation into two modes: network-controlled allocation for coverage scenarios and autonomous UE-based allocation for out-of-coverage scenarios. This segmentation allows the system to switch between centralized control and distributed autonomy, resolving the contradiction between reliability and latency by selecting the appropriate mode based on network availability.
Solution Approach 2:
The patent implements dynamic resource pool configuration where the network can activate or deactivate specific resource pools based on UE location and network conditions. This dynamic adaptation enables the system to optimize between network-controlled and autonomous modes, improving both reliability and latency performance across different operational scenarios.
2Adaptability or versatility
If autonomous resource selection is enabled, then operation without network coverage is possible, but resource selection efficiency may deteriorate
Solution Approach 1:
The patent applies preliminary action by pre-configuring multiple resource pools with different characteristics (e.g., different time-frequency resources, different priorities) before the UE needs to autonomously select. The network provides advance configuration of these pools, and the UE stores them for later autonomous selection, ensuring efficient resource selection even without real-time network guidance.
Solution Approach 2:
The patent enables parameter changes by allowing the network to dynamically adjust resource pool parameters (such as resource availability, priority levels, configuration parameters) based on network conditions. The UE can select from multiple configured pools with different parameters, optimizing resource selection efficiency while maintaining adaptability for out-of-coverage operation.
3Adaptability or versatility
If multiple resource pools are configured, then service flexibility increases, but device complexity increases
Solution Approach 1:
The patent applies local quality by associating different resource pools with specific service types, logical channels, or QoS requirements. Each resource pool is optimized for particular local conditions or service characteristics, allowing the UE to select the most appropriate pool based on the specific data transmission needs, thereby achieving service flexibility without requiring the device to manage all pools uniformly.
Data Source
AI summary
A method and apparatus for activation and/or deactivation for a pool of resources is provided. A first device operating in a wireless communication system receives, from a network, a configuration of one or more resource pools for autonomous resource selection, selects a resource pool for a logical channel from among the one or more resource pools based on data being available in the logical channel, and transmits, to a second device, information on the selected resource pool.