18,529 research outputs found
Towards Data-driven Simulation of End-to-end Network Performance Indicators
Novel vehicular communication methods are mostly analyzed simulatively or
analytically as real world performance tests are highly time-consuming and
cost-intense. Moreover, the high number of uncontrollable effects makes it
practically impossible to reevaluate different approaches under the exact same
conditions. However, as these methods massively simplify the effects of the
radio environment and various cross-layer interdependencies, the results of
end-to-end indicators (e.g., the resulting data rate) often differ
significantly from real world measurements. In this paper, we present a
data-driven approach that exploits a combination of multiple machine learning
methods for modeling the end-to-end behavior of network performance indicators
within vehicular networks. The proposed approach can be exploited for fast and
close to reality evaluation and optimization of new methods in a controllable
environment as it implicitly considers cross-layer dependencies between
measurable features. Within an example case study for opportunistic vehicular
data transfer, the proposed approach is validated against real world
measurements and a classical system-level network simulation setup. Although
the proposed method does only require a fraction of the computation time of the
latter, it achieves a significantly better match with the real world
evaluations
Simulating Cellular Communications in Vehicular Networks: Making SimuLTE Interoperable with Veins
The evolution of cellular technologies toward 5G progressively enables
efficient and ubiquitous communications in an increasing number of fields.
Among these, vehicular networks are being considered as one of the most
promising and challenging applications, requiring support for communications in
high-speed mobility and delay-constrained information exchange in proximity. In
this context, simulation frameworks under the OMNeT++ umbrella are already
available: SimuLTE and Veins for cellular and vehicular systems, respectively.
In this paper, we describe the modifications that make SimuLTE interoperable
with Veins and INET, which leverage the OMNeT++ paradigm, and allow us to
achieve our goal without any modification to either of the latter two. We
discuss the limitations of the previous solution, namely VeinsLTE, which
integrates all three in a single framework, thus preventing independent
evolution and upgrades of each building block.Comment: Published in: A. Foerster, A. Udugama, A. Koensgen, A. Virdis, M.
Kirsche (Eds.), Proc. of the 4th OMNeT++ Community Summit, University of
Bremen - Germany - September 7-8, 201
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