Abstract

The investigation and prediction of new trends and technologies for mobile cellular networks is of utmost importance for researchers and network providers to quickly identify promising developments. With the verge of the fifth generation of mobile communications (5G), networks become more and more heterogeneous and dynamic while the amount of active users within a cell keeps ever increasing. Therefore, the search for more efficient network layouts and configurations attracts massive attention while on the other hand becomes more and more complex. In this contribution, we present the Vienna 5G system level simulator, which allows to perform numerical performance evaluation of large-scale multi-tier networks, with numerous types of network nodes. The simulator is based on Matlab and is implemented in a modular fashion, to conveniently investigate arbitrary network and parameter constellations, which can be enhanced effortlessly. We first discuss the distinguishing aspects of our simulator platform, describe its structure, and then showcase its functionality by demonstrating the key aspects in more detail.

Highlights

  • System level (SL) simulations have become indispensable for investigating and predicting the performance and behavior of wireless cellular systems [1,2,3]

  • We developed in the past a whole suite of Long-Term Evolution (LTE) compliant Link level (LL) and SL simulators [19,20,21], known as the Vienna LTE simulators, which we successfully share with other researchers to facilitate reproducibility in wireless communications academic research [22, 23]

  • 5 Conclusions For the increased diversity of scenarios and use cases, that is anticipated for Fifth generation of mobile communications (5G) networks, a vast number of parameter combinations needs to be employed in SL simulations

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Summary

Introduction

System level (SL) simulations have become indispensable for investigating and predicting the performance and behavior of wireless cellular systems [1,2,3]. Simulation setups can be specified by using either the Vienna 5G SL simulator’s syntax or QuaDRiGa’s syntax This makes the interface easy to use while at the same time allowing the user direct access to all of QuaDRiGa’s features, such as antenna macros, that provide a set of predefined antenna arrays, ranging from simple omni or dipole antennas to more complex types as defined in [34] for the 3D model or in [35] for mmWave. BS and user types can freely be specified and placed within the scenario, which allows to simulate multi-tier networks that become more and more reality for actual deployments This heterogeneity, which is a cornerstone of future 5G networks, is reflected in the adaptive choice of path loss models, dependent on the link conditions. For the efficient simulation of small ROIs, the Vienna 5G SL simulator will provide the option of a wrap around [57] to mitigate border effects in future releases

Common system level features
Conclusions

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