Wireless TSN Stream Scheduling Using Radio-Channel Correlation
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Solution Overview
Problem
Existing methods for transmitting multiple data streams over wireless communications networks, such as 5G, struggle with maintaining reliability and resource efficiency due to unpredictable radio channel conditions and correlations between data streams, leading to increased resource demands and potential outages.
Innovation Solution
A method that determines the correlation between radio channels associated with data streams and schedules resources based on these correlations to minimize resource usage and enhance resilience, using offline and online scheduling adjustments based on channel models and measurements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If resources are allocated without considering radio channel correlation, then resource allocation is simple, but transmission reliability decreases
Solution Approach 1:
The system performs preliminary determination of radio channel correlations between data streams before resource allocation. By pre-calculating correlation values and storing them in a correlation matrix, the system prepares channel relationship information in advance, enabling more reliable resource scheduling without excessive complexity during actual allocation.
Solution Approach 2:
The system changes the scheduling parameter from simple resource allocation to correlation-aware resource allocation. By incorporating radio channel correlation values as an additional parameter in the scheduling decision process, the system optimizes transmission reliability while managing complexity through structured parameter integration.
2Productivity
If more data streams are transmitted over wireless network, then network utilization increases, but resource efficiency decreases due to unpredictable channel conditions
Solution Approach 1:
The system determines resource demands and evaluates radio channel correlations in advance before finalizing resource allocation. This preliminary assessment allows the network to optimize the number and arrangement of data streams, maximizing network utilization while avoiding wasteful resource allocation that would reduce efficiency.
Solution Approach 2:
The system uses measured radio channel correlation values as feedback to adjust resource allocation decisions. By continuously monitoring channel conditions and correlation metrics, the system can dynamically optimize resource distribution across multiple data streams, improving both utilization and efficiency through data-driven decisions.
3Reliability
If resources are allocated based on maximum resource demand, then transmission reliability is maintained, but resource efficiency decreases
Solution Approach 1:
The system changes the allocation parameter from fixed maximum resource allocation to dynamic correlation-based allocation. By using radio channel correlation values to adjust resource distribution, the system allocates resources according to actual channel conditions rather than worst-case scenarios, maintaining reliability while reducing unnecessary resource consumption.
Data Source
AI summary
A method, for example computer implemented method, of processing data related to a transmission of a plurality of data streams, for example data streams of a time sensitive networking, TSN, network, over a wireless communications network, including: determining requirements of at least two data streams of the plurality of data streams, determining a resource demand characterizing transmission resources of the wireless communications network based on the requirements of the at least two data streams, scheduling resources for the at least two data streams based on the resource demand and a correlation between respective radio channels associated with a respective one of the at least two data streams.