On the Reproduction of Real Wireless Channel Occupancy in ns-3

• Type: Article in International Conference Proceedings Book
• Date: 2020

Authors

Cruz, R (Author) Other; Fontes, H (Author) Other; José Ruela (Author) FEUP; Manuel Ricardo (Author) FEUP; Campos, R (Author) FEUP

Conference proceedings International

Title: Proceedings of the 2020 Workshop on ns-3, WNS3 2020, Gaithersburg, MD, USA, June 17-18, 2020

Pages: 41-48

12th Workshop on ns-3, WNS3 2020

17 June 2020 through 18 June 2020

Indexing

Scopus - 3 Citations

Other information

Authenticus ID: P-00S-7AB

DOI: 10.1145/3389400.3393754

Abstract (EN): In wireless networking R&D we typically depend on simulation and experimentation to evaluate and validate new networking solutions. While simulations allow full control over the scenario conditions, real-world experiments are influenced by external random phenomena and may produce hardly repeatable and reproducible results, impacting the validation of the solution under evaluation. Previously, we have proposed the Trace-based Simulation (TS) approach to address the problem. TS uses traces of radio link quality and position of nodes to accurately reproduce past experiments in ns-3. Yet, in its current version, the TS approach is not compatible with scenarios where the radio spectrum is shared with concurrent networks, as it does not reproduce their channel occupancy. In this paper, we introduce the InterferencePropagationLossModel and a modified MacLow to allow reproducing the channel occupancy observed in past experiments using Wi-Fi. To validate the proposed models, the network throughput was measured in different experiments performed in the w-iLab.t testbed, controlling the channel occupancy introduced by concurrent networks. The experimental results were then compared with the network throughput achieved using the improved TS approach, the legacy TS approach, and pure simulation, validating the new proposed models and confirming their relevance to reproduce experiments previously executed in real environments. © 2020 ACM.

Language: English

Type (Professor's evaluation): Scientific