18306060. GENERATING AND PROCESSING CHARGING DATA RECORDS BASED ON PREDICTED RECORD LENGTH simplified abstract (Microsoft Technology Licensing, LLC)

GENERATING AND PROCESSING CHARGING DATA RECORDS BASED ON PREDICTED RECORD LENGTH

Organization Name

Microsoft Technology Licensing, LLC

Inventor(s)

Devesh Verma of Delhi (IN)

Krishnakumar Vijayan of Bangalore (IN)

Kumar Arakere Basavaraj of Bangalore (IN)

Girish R. Nair of Nashua NH (US)

Arthur J. Barabell of Sudbury MA (US)

Venki Reddy Pulicherla of Bangalore (IN)

Abhishek Kumar Sinha of Bangalore (IN)

Basant Kumar of Bangalore (IN)

Pikan Ghosh of West Bengal (IN)

GENERATING AND PROCESSING CHARGING DATA RECORDS BASED ON PREDICTED RECORD LENGTH - A simplified explanation of the abstract

This abstract first appeared for US patent application 18306060 titled 'GENERATING AND PROCESSING CHARGING DATA RECORDS BASED ON PREDICTED RECORD LENGTH

Simplified Explanation

The present disclosure relates to managing the generation and processing of charging data records (CDRs) in a telecommunication environment, such as 4G, 5G, or future generation mobile networks. The systems involve predicting CDR lengths before encoding and providing them to a charging gateway function to ensure they do not exceed a maximum allowable length, reducing the total number of CDR packages generated and processed.

• Predicting CDR lengths before encoding
• Providing CDRs to a charging gateway function to prevent exceeding maximum length
• Reducing total number of CDR packages generated and processed
• Incrementally predicting CDR lengths as charging containers are added

Potential Applications

This technology can be applied in telecommunications companies to efficiently manage and process charging data records in high-speed mobile networks.

Problems Solved

1. Managing and processing large volumes of charging data records efficiently 2. Ensuring that charging data records do not exceed maximum allowable length for processing

Benefits

1. Improved efficiency in managing and processing charging data records 2. Reduction in the total number of CDR packages generated and transmitted 3. Enhanced performance of charging gateway functions in telecommunication environments

Potential Commercial Applications

Optimizing the generation and processing of charging data records can benefit telecommunication companies by improving network efficiency and reducing processing overhead.

Possible Prior Art

One possible prior art could be systems for managing and processing CDRs in telecommunication networks, but the specific method of predicting CDR lengths before encoding to optimize processing efficiency may be novel.

How does this technology impact the overall performance of telecommunication networks?

This technology can potentially improve network efficiency and reduce processing overhead, but the specific impact on network performance metrics such as latency and throughput is not explicitly addressed in the abstract.

What are the potential limitations or challenges in implementing this technology in real-world telecommunication environments?

While the abstract highlights the benefits of predicting CDR lengths and reducing the total number of CDR packages, it does not discuss any potential limitations or challenges that may arise during the implementation of this technology in practical telecommunication networks.

Original Abstract Submitted

The present disclosure generally relates to systems, methods, and computer-readable media for managing the generation and processing of charging data records (CDRs) in a telecommunication environment (e.g., a fourth generation (4G) a fifth generation (5G), or future generation mobile network). The systems described herein involve predicting lengths of CDRs prior to encoding and providing the CDRs to a charging gateway function to ensure that the CDRs do not exceed a maximum allowable length that the charging gateway function is capable of processing while also reducing the total number of CDR packages that are encoded and transmitted. Indeed, the systems described herein can predict the length of the CDRs incrementally as charging containers are added, thus limiting the number of CDRs that are generated and processed.