17916878. Classification of Microwave Link Data simplified abstract (Telefonaktiebolaget LM Ericsson (publ))

Classification of Microwave Link Data

Organization Name

Telefonaktiebolaget LM Ericsson (publ)

Inventor(s)

Forough Yaghoubi of Solna (SE)

Sahar Tahvili of Upplands Väsby (SE)

Patrik Olesen of Floda (SE)

[[:Category:Martin Sj�din of Göteborg (SE)|Martin Sj�din of Göteborg (SE)]][[Category:Martin Sj�din of Göteborg (SE)]]

Classification of Microwave Link Data - A simplified explanation of the abstract

This abstract first appeared for US patent application 17916878 titled 'Classification of Microwave Link Data

Simplified Explanation

The patent application describes a method for classifying microwave link data in a wireless microwave system. The method involves obtaining performance affecting values for the microwave link and classifying the data into different operating conditions based on these values.

• The method involves obtaining microwave link data in terms of performance affecting values for a wireless microwave link.
• Each performance affecting value pertains to a specific property of the microwave link.
• The method classifies the microwave link data into different operating conditions.
• Each operating condition is associated with a subset of performance affecting properties.
• The method estimates a probability value for each operating condition using the performance affecting values of the associated subset of properties.

Potential applications of this technology:

• Telecommunication networks: The method can be used to classify and monitor the performance of microwave links in telecommunication networks, ensuring optimal operation and troubleshooting.
• Internet service providers: ISPs can utilize this method to classify and analyze the performance of microwave links in their network infrastructure, improving network reliability and performance.
• Wireless backhaul systems: The method can be applied to classify and optimize the performance of microwave links used in wireless backhaul systems, enhancing the efficiency and capacity of these systems.

Problems solved by this technology:

• Performance monitoring: The method provides a systematic approach to monitor and classify the performance of microwave links, allowing for proactive maintenance and troubleshooting.
• Optimization: By classifying the microwave link data into different operating conditions, the method enables optimization of the system based on specific performance affecting properties.
• Efficient resource allocation: The classification of microwave link data helps in efficient allocation of resources, such as bandwidth and power, based on the operating conditions.

Benefits of this technology:

• Improved network reliability: By monitoring and classifying microwave link data, potential issues can be identified and resolved promptly, ensuring reliable network operation.
• Enhanced performance: The method allows for optimization of microwave links based on specific operating conditions, leading to improved performance and efficiency.
• Cost savings: Efficient resource allocation based on the classification of microwave link data helps in reducing unnecessary expenses and maximizing the utilization of network resources.

Original Abstract Submitted

There is provided mechanisms for classifying microwave link data of a microwave system comprises a point-to-point wireless microwave link. The method is performed by a controller entity. The method comprises obtaining microwave link data in terms of a set of performance affecting values for the point-to-point wireless microwave link. Each performance affecting value in the set pertains to a respective performance affecting property of the point-to-point wireless microwave link. The method comprises classifying the microwave link data to operating conditions in a set of operating conditions, where each operating condition is associated with its own subset of the performance affecting properties, by for each operating condition, estimating a probability value using the performance affecting values of the subset of the performance affecting properties associated with that operating condition.