Abstract
In this article, we introduce MATLAB-based link and system level simulation environments for UMTS Long-Term Evolution (LTE). The source codes of both simulators are available under an academic non-commercial use license, allowing researchers full access to standard-compliant simulation environments. Owing to the open source availability, the simulators enable reproducible research in wireless communications and comparison of novel algorithms. In this study, we explain how link and system level simulations are connected and show how the link level simulator serves as a reference to design the system level simulator. We compare the accuracy of the PHY modeling at system level by means of simulations performed both with bit-accurate link level simulations and PHY-model-based system level simulations. We highlight some of the currently most interesting research questions for LTE, and explain by some research examples how our simulators can be applied.
Highlights
Reproducibility is one of the pillars of scientific research
The Vienna Long-Term Evolution (LTE) link level simulator we describe the overall structure of the Vienna LTE Link Level Simulator, currently (January 2011) released in version 1.6r917
The Vienna LTE system level simulator we describe the overall structure of the Vienna LTE System Level Simulator, currently developed (January 2011) version 1.3r427
Summary
Reproducibility is one of the pillars of scientific research. reproducibility has a long tradition in most nature sciences and theoretical sciences, such as mathematics, it is only recently that reproducible research has become more and more important in the field of signal processing [1,2]. This is achieved by introducing three different simulation types with largely different computational complexity (Figure 4): 1) Single-downlink This simulation type only covers the link between one eNodeB and one UE Such a set-up allows for the investigation of channel tracking, channel estimation [44], synchronization [11,49], MIMO gains, AMC and feedback optimization [13], receiver structures [14] While simulations of individual physical layer links allow for the investigation of MIMO gains, AMC feedback, modeling of the channel code, and retransmissions [13,44,45,50,56], it is not possible to reflect the effects of cell planning, scheduling, or interference in a large scale with dozens of eNodeBs and hundreds of users. In the case of open-loop transmission, in which space-time coding is employed at the transmitter, we obtain for the achievable mutual information: Ia(OL)
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