2020/08/17 by Benjamin Sliwa, Sliwa, Benjamin, Manuel Patchou +3
Decision Sciences · Engineering · #FOS: Computer and information sciences #FOS: Electrical engineering #Millimeter-Wave Propagation and Modeling #Networking and Internet Architecture (cs.NI) #Signal Processing (eess.SP) #Simulation Techniques and Applications #Vehicular Ad Hoc Networks (VANETs) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.2008.07096
openalex publication_date 2020/08/17 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
The analysis of the end-to-end behavior of novel mobile communication methods\nin concrete evaluation scenarios frequently results in a methodological\ndilemma: Real world measurement campaigns are highly time-consuming and lack of\na controllable environment, the derivation of analytical models is often not\npossible due to the immense system complexity, system-level network simulations\nimply simplifications that result in significant derivations to the real world\nobservations. In this paper, we present a hybrid simulation approach which\nbrings together model-based mobility simulation, multi-dimensional Radio\nEnvironmental Maps (REMs) for efficient maintenance of radio propagation data,\nand Data-driven Network Simulation (DDNS) for fast and accurate analysis of the\nend-to-end behavior of mobile networks. For the validation, we analyze an\nopportunistic vehicular data transfer use-case and compare the proposed method\nto real world measurements and a corresponding simulation setup in Network\nSimulator 3 (ns-3). In comparison to the latter, the proposed method is not\nonly able to better mimic the real world behavior, it also achieves a 300 times\nhigher computational efficiency.\n