A Software-Based Private LTE Network for Academic Institutions Using srsRAN and USRP N321

作者：Nagarjuna Telagam, Poli Prudvi Reddy, M. C. Mokshith, B. Gopal, Ambar Bajpai, M. Ramesha · 发表于：International Conference on Computing and Artificial Intelligence · 年份：2025 · DOI：10.1109/iccai65301.2025.11278980

This paper investigates how environmental and hardware factors influence a private LTE network's throughput and latency performance built with srsRAN. This project aims to design and develop a 4G base station using Software radio systems radio access network (SRSRAN) open source. SRSRAN provides a whole stack of the Long Term Evolution (LTE) protocol, combined with SDR hardware, to deploy the LTE network. SDR radio modules may be successfully used to implement the radio access layer for 2G, 3G, 4G and 5G digital cellular networks. The N321 is an advanced network processor or chipset used in these 4G base stations, offering high-performance capabilities for signal processing, data handling, and network management, along with support for features like Multiple Input Multiple Output (MIMO), Quality of Service (QoS), and carrier aggregation. The SRSRAN package is one of this type's most popular open-source projects. It offers the ability to emulate a base station using a PC and a programmable radio. The modular structure of the software package enables separate emulation of the core part of the network, the radio access layer and the client part, User Equipment (UE). The system described in this paper tests the SRSRAN radio package's open-source software and measures its performance. Few 4G Base Stations applications are small-scale commercial deployments and IoT Connectivity. The experimental results demonstrate that downlink throughput ranges from 713.15 kbps to 5.5 Mbps. In co...