Investigation and Improvements to the OFDM Wi-Fi Physical Layer Abstraction in ns-3

Safavi-Naeini, Hossein-Ali; Nadeem, Farah; Roy, Sumit

doi:10.1145/2915371.2915387

Cited by 5 publications

(1 citation statement)

References 6 publications

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“…Packet-based simulation is not the only solution to simulate network communications. Link simulation consists in studying network transmissions at signal-level [20]. Link simulation is used to study the physical layer of Wi-Fi by modeling all signal properties.…”

Section: Related Workmentioning

confidence: 99%

A Flow-Level Wi-Fi Model for Large Scale Network Simulation

Courageux-Sudan

Guegan

Orgerie

et al. 2022

Proceedings of the International Conference on Modeling Analysis and Simulation of Wireless and Mobile Systems on International

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Wi-Fi networks are extensively used to provide Internet access to end-users and to deploy applications at the edge. By playing a major role in modern networking, Wi-Fi networks are getting bigger and denser. However, studying their performance at large-scale and in a reproducible manner remains a challenging task. Current solutions include real experiments and simulations. While the size of experiments is limited by their financial cost and potential disturbance of commercial networks, the simulations also lack scalability due to their models' granularity and computational runtime. In this paper, we introduce a new Wi-Fi model for large-scale simulations. This model, based on flow-level simulation, requires fewer computations than state-of-the-art models to estimate bandwidth sharing over a wireless medium, leading to better scalability. Comparing our model to the already existing Wi-Fi implementation of ns-3, we show that our approach yields to close performance evaluations while improving the runtime of simulations by several orders of magnitude. Using this kind of model could allow researchers to obtain reproducible results for networks composed of thousands of nodes much faster than previously. CCS CONCEPTS• Networks → Network simulations; Wireless local area networks.

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Section: Related Workmentioning

confidence: 99%