5G MmWave Module for the ns-3 Network Simulator

Mezzavilla, Marco; Dutta, Sourjya; Zhang, Menglei; Akdeniz, Mustafa Riza; Rangan, Sundeep

doi:10.1145/2811587.2811619

Cited by 75 publications

(59 citation statements)

References 8 publications

(14 reference statements)

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“…Tab. I: List of notations and channel parameters considered in the NYU mmWave network simulator [21]. Aligned and misaligned gain PDFs…”

Section: (Z)mentioning

confidence: 99%

“…For this reason, each interfering BS's beamforming has a circularly uniform orientation. Consequently, in (14), the angles of the beamforming vectors w TXx and w RXx as well as the angles of the spatial signatures u TX and u RX are not aligned with the angles of G is obtained by the NYU mmWave network simulator [21], and is fit with the exponential distribution in Remark 1 (n RX = 64, n TX = 256).…”

Section: A Aligned Gain Distributionmentioning

confidence: 99%

See 1 more Smart Citation

Stochastic Geometric Coverage Analysis in mmWave Cellular Networks With Realistic Channel and Antenna Radiation Models

Rebato

Park

Popovski

et al. 2019

IEEE Trans. Commun.

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Millimeter-wave (mmWave) bands will play an important role in 5G wireless systems. The system performance can be assessed by using models from stochastic geometry that cater for the directivity in the desired signal transmissions as well as the interference, and by calculating the signal-to-interferenceplus-noise ratio (SINR) coverage. Nonetheless, the accuracy of the existing coverage expressions derived through stochastic geometry may be questioned, as it is not clear whether they capture the impact of the detailed mmWave channel and antenna features. In this study, we propose an SINR coverage analysis framework that includes realistic channel model and antenna element radiation patterns. We introduce and estimate two parameters, aligned gain and misaligned gain, associated with the desired signal beam and the interfering signal beam, respectively. The distributions of these gains are used to determine the distribution of the SINR which is compared with the corresponding SINR coverage calculated via system-level simulations. The results show that both aligned and misaligned gains can be modeled as exponentiallogarithmically distributed random variables with the highest accuracy, and can further be approximated as exponentially distributed random variables with reasonable accuracy. These approximations can be used as a tool to evaluate the systemlevel performance of various 5G connectivity scenarios in the mmWave band.

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“…Tab. I: List of notations and channel parameters considered in the NYU mmWave network simulator [21]. Aligned and misaligned gain PDFs…”

Section: (Z)mentioning

confidence: 99%

Section: A Aligned Gain Distributionmentioning

confidence: 99%

Stochastic Geometric Coverage Analysis in mmWave Cellular Networks With Realistic Channel and Antenna Radiation Models

Rebato

Park

Popovski

et al. 2019

IEEE Trans. Commun.

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show abstract

“…Although this tool has to be understood as a set of open source modules forming a generic network simulator, there exists an LTE module [24] that allows to simulate 4G networks. Further, there exists a module [25,26] that covers mmWave propagation aspects of 5G. Still, the main focus of the ns-3 simulator lies on network simulations.…”

Section: Related Work -Existing Simulation Toolsmentioning

confidence: 99%

Versatile mobile communications simulation: the Vienna 5G Link Level Simulator

Pratschner

Tahir

Marijanović

et al. 2018

J Wireless Com Network

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Research and development of mobile communications systems require a detailed analysis and evaluation of novel technologies to further enhance spectral efficiency, connectivity and reliability. Due to the exponentially increasing demand of mobile broadband data rates and challenging requirements for latency and reliability, mobile communications specifications become increasingly complex to support ever more sophisticated techniques. For this reason, analytic analysis as well as measurement based investigations of link level methods soon encounter feasibility limitations. Therefore, computer aided numeric simulation is an important tool for investigation of wireless communications standards and is indispensable for analysis and developing future technologies. In this contribution, we introduce the Vienna 5G Link Level Simulator, a Matlab-based link level simulation tool to facilitate research and development of 5G and beyond mobile communications. Our simulator enables standard compliant setups according to 4G Long Term Evolution, 5G new radio and even beyond, making it a very flexible simulation tool. Offered under an academic use license to fellow researchers it considerably enhances reproducibility in wireless communications research. We give a brief overview of our simulation platform and introduce unique features of our link level simulator in more detail to outline its versatile functionality.

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“…A different ns-3 simulator module [65] for millimeter wave access has been developed at the same time as the work presented in this paper. However, Mezzavilla et al [65] state that relay devices and TCP performance is a topic for their future work, and therefore the module was not applicable for this study.…”

Section: Related Workmentioning

confidence: 99%

“…However, Mezzavilla et al [65] state that relay devices and TCP performance is a topic for their future work, and therefore the module was not applicable for this study.…”

Section: Related Workmentioning

confidence: 99%

User level performance analysis of multi-hop in-band backhaul for 5G

2017

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In recent years, mobile access networks operating at millimeter wavelengths have received a great deal of attention, as they promise previously unattainably high mobile data rates. At these frequencies, mobile access links are expected to use highly directional beamforming antennas, which are also well suited to backhaul links. Therefore, access points can efficiently act as self-backhauled relays by using the same spectrum, circuits and antennas for mobile access and backhaul links, thus forming a multi-hop in-band backhaul network. The contributions of our paper are extensive simulations to investigate user level performance in such multi-hop networks. We specifically take into account the momentary data traffic of every link in order to calculate the interference. Results quantify the detrimental effect of interference on user level performance. Furthermore, the potential benefit of using the combination of in-band and dedicated backhaul links is evaluated. Additionally, this paper investigates the user level effects of the sudden loss of a link in the backhaul mesh network, and underlines the importance of effective rerouting algorithms. The feasibility of the inband concept is demonstrated, and we can confirm that the user level experience will surpass the performance provided by previous generation mobile networks.

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5G MmWave Module for the ns-3 Network Simulator

Cited by 75 publications

References 8 publications

Stochastic Geometric Coverage Analysis in mmWave Cellular Networks With Realistic Channel and Antenna Radiation Models

Stochastic Geometric Coverage Analysis in mmWave Cellular Networks With Realistic Channel and Antenna Radiation Models

Versatile mobile communications simulation: the Vienna 5G Link Level Simulator

User level performance analysis of multi-hop in-band backhaul for 5G

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