Service Layer Radio Application for Latency Critical Wireless Networks
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Solution Overview
Problem
Current wireless network schedulers face challenges in providing low latency for latency-critical applications due to their best effort and fair scheduling approaches, leading to unacceptable variance in latency and jitter, which is detrimental for applications like autonomous vehicles that require immediate responses.
Innovation Solution
Implementing a service layer radio application (SLRA) on both end user devices and base station schedulers to facilitate real-time communication and resource allocation optimization based on current status and requirements of latency-critical applications, ensuring only necessary resources are allocated dynamically to meet application needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If best effort and fair schedule approach is used for resource allocation in wireless networks, then overall network fairness and efficiency are improved, but latency variance and jitter increase making the system unsuitable for latency critical applications
Solution Approach 1:
The scheduling system is segmented into two distinct parts: a standard scheduler for general traffic management and a Service Layer Radio Application (SLRA) specifically dedicated to latency critical applications. This segmentation allows the SLRA to handle time-sensitive traffic with specialized algorithms while the main scheduler continues to manage overall network resources, thus improving reliability for latency-critical services without overwhelming scheduling complexity
Solution Approach 2:
The SLRA acts as an intermediary layer between the standard scheduler and latency critical applications. It receives service requirements from applications, translates them into scheduling decisions, and coordinates with the base station's resource allocation. This intermediary enables precise control over latency-critical traffic while maintaining compatibility with existing network infrastructure and scheduling mechanisms
2Loss of time
If resources are allocated dynamically based on real-time application status, then latency and jitter are reduced, but information processing requirements and system complexity increase
Solution Approach 1:
The system performs preliminary actions by having applications declare their service requirements and latency constraints in advance. The SLRA uses this pre-provided information to proactively allocate resources and prepare transmission schedules before actual data transmission is needed. This preliminary planning reduces latency by avoiding last-minute scheduling decisions while keeping system complexity manageable through structured requirement specification
Solution Approach 2:
The SLRA implements continuous feedback loops where it monitors transmission performance, resource utilization, and application status in real-time. Based on this feedback, the SLRA dynamically adjusts scheduling decisions, resource allocation, and transmission parameters. This feedback mechanism enables the system to adapt to changing conditions and reduce latency without requiring overly complex predetermined rules, as the system learns and adjusts based on actual performance data
Data Source
AI summary
A method includes: a) provisioning, at an end user device which is located in a cell of a wireless network, at least one latency critical application and a service layer radio application (SLRA) for communication with a scheduler associated with a base station of the wireless network, the base station serving the cell; b) transferring transmission specific data in real time between the at least one latency critical application and the scheduler via the SLRA, wherein the SLRA is implemented on both the end user device and the scheduler; and c) optimizing allocation of resources in the cell by taking into account current status and operation requirements of the at least one latency critical application and/or optimizing current use of the resources in the cell by using the transmission specific data for adapting the at least one latency critical application in real time to current conditions on the cell.