Congestion Analysis of Transport Layer in a Multicell 5G DL Communication System

Area of Science:

• Mobile Communications
• Network Engineering
• Computer Science

Background:

• Fifth-generation (5G) mobile networks offer significant advancements over previous generations.
• 5G networks enable intelligent, interconnected environments for diverse applications.
• Transport protocols are crucial for achieving 5G's high data rates (up to 400 Gbps).

Purpose of the Study:

• To detect and analyze transport layer congestion on the downlink (DL) in 5G networks.
• To evaluate the performance impact of the Transmission Control Protocol (TCP) slow-start algorithm.
• To investigate congestion in both single-cell and multicell environments.

Main Methods:

• Analysis of transport layer congestion using key performance metrics.
• Focus on downlink (DL) performance in 5G environments.
• Activation of the TCP slow-start algorithm with File Transfer Protocol (FTP) model two, adhering to 3GPP standards.

Main Results:

• Evaluation of metrics including physical resource blocks (PRBs), user throughput, and cell throughput.
• Analysis of cell edge user throughput and delay.
• Identification of congestion patterns and their effects on network performance.

Conclusions:

• Understanding transport layer congestion is vital for optimizing 5G performance.
• The TCP slow-start algorithm's behavior under congestion needs careful consideration.
• This research provides insights into managing 5G network efficiency and user experience.