SyntheticNET: A 3GPP Compliant Simulator for AI Enabled 5G and Beyond

Zaidi, Syed Muhammad Asad; Manalastas, Marvin; Farooq, Hasan; Imran, Ali

doi:10.1109/access.2020.2991959

Cited by 29 publications

(7 citation statements)

References 25 publications

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“…Labeled 3 in the figure is the main equipment composed of SDRs and 3GPP compliant software to act as the base station. To connect it to the Internet and other base stations via fiber, a fiberethernet switch is exploited as shown in 4 . The SDRs of the callbox are connected to the amplifiers using SMA cables.…”

Section: B Network Design and Planningmentioning

confidence: 99%

“…Many network simulators have been developed to overcome the limits of analytical modeling methods. However, most of the existing simulators lack complete system realization or may require excessive computational power [4]. Meanwhile, the more practical cellular network experimentation in the form of field trials is reserved exclusively for the network operators with large research and development (R&D) funds as conducting field trials on a large scale is time-consuming and expensive.…”

Section: Introductionmentioning

confidence: 99%

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Design Considerations and Deployment Challenges for TurboRAN 5G and Beyond Testbed

et al. 2022

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Prior to standardization, new features, algorithms, and solutions have to be rigorously evaluated and verified using different methods. In this regard, testbeds are considered as one of the most important and effective experimental platforms for performing tests, thus paving the way towards the real-world implementation of many solutions, from the most basic to the most disruptive and innovative ones. Compared to computer simulators, testbeds provide near-realistic implementation and can obtain practical results while posing less risk to live networks. They are also cheaper compared to field trials. Given the crucial role of testbeds in the cellular network ecosystem, it is imperative to create awareness regarding the design challenges associated with constructing an effective and efficient testbed deployment. In this tutorial, we discuss the design considerations and challenges we experienced while deploying an outdoor testbed that we call TurboRAN-a 5G and beyond network testbed facility. It is designed to facilitate the evaluation of early real-world use case algorithm implementations and deployments. We present the process and methodology used to select components, including antennas, amplifiers, base stations, and cabinets, to name a few, and describe the integration of the components to construct a fully operational testbed. Finally, we discuss a use case that demonstrates the TurboRAN's ability to conduct real-world experiments. The use case demonstrates the detrimental impact of sub-optimal handover parameter configuration on network performance-a big challenge in modern cellular communication. This work intends to inspire and guide the development of a cellular testbed by providing a generalized framework that describes step-by-step the efforts made for its construction.INDEX TERMS TurboRAN, 5G and beyond testbed, testbed deployment consideration, testbed deployment challenges.

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Section: B Network Design and Planningmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Design Considerations and Deployment Challenges for TurboRAN 5G and Beyond Testbed

et al. 2022

Self Cite

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“…Similarly, the futuristic vision of 6G network design has been stepping forth based on the amalgamation of trending ICT and data technology in tandem with the cloud-native computing model to the 5G core network, increasing the prospects of new services. [132], [133]. New features and enablers expected from B5G/6G networks for industrial DT are identified and summarized in Fig.…”

Section: G-and-beyond/6g Network and Aoi-aware Green Communicationmentioning

confidence: 99%

Industrial Digital Twins at the Nexus of NextG Wireless Networks and Computational Intelligence: A Survey

Zeb¹,

Mahmood²,

Hassan³

et al. 2021

Preprint

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By amalgamating recent communication and control technologies, computing and data analytics techniques, and modular manufacturing, Industry 4.0 promotes integrating cyberphysical worlds through cyber-physical systems (CPS) and digital twin (DT) for monitoring, optimization, and prognostics of industrial processes. A DT is an emerging but conceptually different construct than CPS. Like CPS, DT relies on communication to create a highly-consistent, synchronized digital mirror image of the objects or physical processes. DT, in addition, uses builtin models on this precise image to simulate, analyze, predict, and optimize their real-time operation using feedback. DT is rapidly diffusing in the industries with recent advances in the industrial Internet of things (IIoT), edge and cloud computing, machine learning, artificial intelligence, and advanced data analytics. However, the existing literature lacks in identifying and discussing the role and requirements of these technologies in DT-enabled industries from the communication and computing perspective. In this article, we first present the functional aspects, appeal, and innovative use of DT in smart industries. Then, we elaborate on this perspective by systematically reviewing and reflecting on recent research in next-generation (NextG) wireless technologies (e.g., 5G and beyond networks), various tools (e.g., age of information, federated learning, data analytics), and other promising trends in networked computing (e.g., edge and cloud computing). Moreover, we discuss the DT deployment strategies at different industrial communication layers to meet the monitoring and control requirements of industrial applications. We also outline several key reflections and future research challenges and directions to facilitate industrial DT's adoption.

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“…In [10], the authors have evaluated the performance of Simul5G, a 5G emulator which introduces lightweight models of UEs and gNBs, facilitating the simulation of large-scale 5G multicellular networks. In [11], the SyntheticNET simulator is introduced, based on python, incorporating the latest 3GPP 5G release as well as AI-based ray-tracing propagation modelling. The developed simulator can include additional AI/ML-based solutions for autonomous configuration and optimization of network parameters.…”

Section: Introductionmentioning

confidence: 99%

Towards Closed-loop Automation in 5G Open RAN: Coupling an Open-Source Simulator with xApps

Karamplias

Spantideas

Giannopoulos

et al. 2022

2022 Joint European Conference on Networks and Communications &Amp; 6G Summit (EuCNC/6G Summit)

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The goal of this paper is to demonstrate the implementation of technological solutions that will enable the optimization of 5G network resources and services in an automated and self-configured manner. At first, the practical implementation of intelligence loops in the 5G network architecture is presented, according to the O-RAN specifications. Then, the development of an open source, general-purpose simulator, compliant with 3GPP specifications for generating physical-layer measurement reports from the radio access network is presented, while its functional logic and configuration capabilities are fully highlighted. Moreover, this paper illustrates how effectively trained machine learning (ML) models can be incorporated into the architecture for network configuration and optimization. In this context, an indicative use case is presented and evaluated, focusing on closed-loop power adjustment of the transmitters in a 5G cellular orientation, via the appropriate deployment of a deep reinforcement learning agent. The simulation results outline the interaction loop between the developed 5G simulator and the deployed ML model, targeting at increasing the network-wide throughput of user equipment.

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SyntheticNET: A 3GPP Compliant Simulator for AI Enabled 5G and Beyond

Cited by 29 publications

References 25 publications

Design Considerations and Deployment Challenges for TurboRAN 5G and Beyond Testbed

Design Considerations and Deployment Challenges for TurboRAN 5G and Beyond Testbed

Industrial Digital Twins at the Nexus of NextG Wireless Networks and Computational Intelligence: A Survey

Towards Closed-loop Automation in 5G Open RAN: Coupling an Open-Source Simulator with xApps

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