Sidelink Resource Scheduling Through PC5 Information Exchange
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Solution Overview
Problem
Existing mobile communication technologies face challenges in efficiently managing resource allocation and connectivity in sidelink deployments for New Radio (NR), particularly in vehicle-to-everything (V2X) scenarios, with issues related to energy consumption, device cost, spectral efficiency, and latency.
Innovation Solution
The implementation of techniques for exchanging scheduling information between wireless devices, including requests and responses for scheduling capabilities, coverage status, RRC status, and resource configurations, using PC5 RRC signaling, MAC CE, and SCI, to optimize resource allocation and connectivity in sidelink communications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If sidelink communications are implemented in V2X scenarios, then connectivity and resource allocation are improved, but energy consumption and device complexity increase
Solution Approach 1:
The patent implements autonomous scheduling where wireless devices autonomously select and allocate transmission resources without continuous base station control. The first wireless device independently determines resource pools, sensing parameters, and transmission grants based on local measurements and pre-configured rules, enabling self-service resource management that reduces energy consumption while maintaining reliable V2X connectivity
Solution Approach 2:
The patent employs pre-configuration of resource pools, transmission parameters, and scheduling rules before actual sidelink communication begins. Wireless devices receive pre-configured resource pools and sensing parameters from base stations or use pre-defined standards, allowing them to immediately engage in low-latency V2X communications without real-time negotiation, thus improving connectivity reliability while minimizing energy expenditure
2Productivity
If detailed scheduling information exchange is implemented, then resource allocation efficiency is improved, but signaling overhead and latency increase
Solution Approach 1:
The patent extracts and separates critical scheduling functions from general communication protocols. Specific scheduling information elements (resource pool indicators, sensing parameters, transmission grants) are extracted as dedicated MAC CE control elements and SCI messages, allowing efficient targeted exchange of only necessary scheduling data without overhead from complete protocol exchanges, thus improving resource allocation efficiency while minimizing latency
Solution Approach 2:
The patent dynamically adjusts scheduling parameters including resource pool sizes, sensing window durations, and grant allocation based on channel conditions and traffic demands. The first wireless device modifies transmission parameters such as resource selection windows, sensing intervals, and grant formats according to measured channel quality and traffic patterns, optimizing resource allocation efficiency while adapting latency characteristics to current network conditions
3Reliability
If autonomous resource selection is implemented, then spectral efficiency is improved, but device complexity and measurement requirements increase
Solution Approach 1:
The patent segments the autonomous resource selection process into distinct functional modules: resource pool identification, channel sensing, interference measurement, grant generation, and transmission. The first wireless device divides the spectrum into separate resource pools with dedicated sensing parameters for each, allowing complex spectral management to be broken down into manageable discrete operations that improve spectral efficiency while controlling device complexity through modular processing
Solution Approach 2:
The patent introduces standardized measurement frameworks and reporting structures as intermediaries between raw channel measurements and autonomous scheduling decisions. Pre-defined sensing parameters, measurement filters, and resource pool configurations act as intermediaries that simplify the complexity of autonomous resource selection by providing structured templates for measurement and decision-making, thereby improving spectral efficiency through systematic resource management
Data Source
AI summary
Methods, apparatus, and systems for selecting and establishing sidelink resources amongst UEs. The disclosure provides various systems and methods of exchanging parameters amongst a group of networked UEs in order to schedule resources.


