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WNS3 '23: Proceedings of the 2023 Workshop on ns-3
ACM2023 Proceeding
Publisher:
  • Association for Computing Machinery
  • New York
  • NY
  • United States
Conference:
WNS3 2023: 2023 Workshop on ns-3 Arlington VA USA June 28 - 29, 2023
ISBN:
979-8-4007-0747-6
Published:
28 June 2023

Reflects downloads up to 10 Oct 2024Bibliometrics
Abstract

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SESSION: Session 1 - Full Papers
research-article
Open Access
Improving the Efficiency of MIMO Simulations in ns-3

Channel modeling is a fundamental task for the design and evaluation of wireless technologies and networks, before actual prototyping, commercial product development and real deployments. The recent trends of current and future mobile networks, which ...

research-article
Open Access
Implementation and Evaluation of IEEE 802.11ax Channel Sounding Frame Exchange in ns-3

To enable extremely high throughput in wireless local area networks (WLANs), new features including Multi-User Multiple-Input Multiple-Output (MU-MIMO), beamforming techniques, and coordinated beamforming among multiple access points (APs) have been ...

research-article
ns-3 Implementation of Sub-Terahertz and Millimeter Wave Drop-based NYU Channel Model (NYUSIM)

The next generation of wireless networks will use sub-THz frequencies alongside mmWave frequencies to enable multi-Gbps and low latency applications. To enable different verticals and use cases, engineers must take a holistic approach to build, analyze, ...

research-article
Open Access
Implementation of a Channel Model for Non-Terrestrial Networks in ns-3

While the 5th generation (5G) of mobile networks has landed in the commercial area, the research community is exploring new functionalities for 6th generation (6G) networks, for example non-terrestrial networks (NTNs) via space/air nodes such as ...

research-article
Public Access
ns-O-RAN: Simulating O-RAN 5G Systems in ns-3

O-RAN is radically shifting how cellular networks are designed, deployed and optimized through network programmability, disaggregation, and virtualization. Specifically, RAN Intelligent Controllers (RICs) can orchestrate and optimize the Radio Access ...

Enabling QoS Provisioning Support for Delay-Critical Traffic and Multi-Flow Handling in ns-3 5G-LENA

Technology evolution in mobile communication networks has brought a revolution in the everyday life allowing new and innovative applications to be established in the fields of healthcare, education, industry, and gaming, among others. Most of these ...

Link Discovery Extension to ns-3’s Terahertz Communication Module

The next generation wireless access networks are envisaged to use Terahertz (THz) frequencies to achieve extremely high data rates on the order of Terabits per second. These high frequency waves experience intense path loss and are therefore limited to ...

O-RAN with Machine Learning in ns-3

The Open Radio Access Network (O-RAN) Alliance is an industry-led standardization effort, with the main objective of evolving the Radio Access Network (RAN) to be open, intelligent, interoperable, and autonomous to support the ever growing need of ...

Position-Based Machine Learning Propagation Loss Model Enabling Fast Digital Twins of Wireless Networks in ns-3

Digital twins have been emerging as a hybrid approach that combines the benefits of simulators with the realism of experimental testbeds. The accurate and repeatable set-ups replicating the dynamic conditions of physical environments, enable digital ...

research-article
Open Access
SOLA: A Decentralized Communication Middleware Developed with ns-3

The transformation from static production facilities into a flexible and decentralized cyber-physical production system (CPPS) is part of the current ongoing Industry 4.0. A CPPS will enable and support communication between people, machines and virtual ...

A Multipath Extension to the QUIC Module for ns-3

Network transmission with multiple interfaces is desirable for the next-generation Internet to improve end-to-end performance and reliability. Multipath QUIC is thus proposed to utilize multiple interfaces for Internet transmission with QUIC, while QUIC ...

research-article
Flexcomm Simulator: Exploring Energy Flexibility in Software Defined Networks with ns-3

The digitalization of energy generation and distribution systems opens new opportunities for devising network operation and traffic engineering strategies capable of adapting to the energy availability and sources. Despite the potential, developing and ...

Evaluation and Extension of ns-3 Battery Framework

Energy consumption measurements are crucial for the design of modern computer network devices. They are particularly essential in devices employing batteries as their single source of energy such as those found in wireless sensor networks (WSNs). In ...

SESSION: Session 2 - Short Papers
short-paper
Open Access
Verification of ns-3 Wi-Fi Rate Adaptation Models on AWGN Channels

The performance of Wi-Fi networks depends on the ability of devices to adapt their transmissions to dynamic channel/network conditions. Hence, “Rate Adaptation Algorithms (RAAs)” have been devised to allow nodes to select appropriate modulation and ...

short-paper
Open Access
Efficient PHY Layer Abstraction for 5G NR Sidelink in ns-3

Physical (PHY) layer abstraction is an effective method to reduce the runtimes compared with link simulations but still accurately characterize the link performance. As a result, PHY layer abstraction for IEEE 802.11 WLAN and 3GPP LTE/5G has been widely ...

short-paper
Linux-like Socket Statistics Utility for ns-3

Collecting statistics in network experiments is crucial for understanding the behavior of the network protocols and identifying any anomalies or performance issues. Without accurate and comprehensive statistics, it is difficult to analyze network ...

Contributors
  • University of Washington
  • University of Naples Federico II
  • Jacksonville State University
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Recommendations

Acceptance Rates

Overall Acceptance Rate 54 of 82 submissions, 66%
YearSubmittedAcceptedRate
WNS3 '18161169%
WNS3 '16281864%
WNS3 '15271763%
WNS3 '1411873%
Overall825466%