Next Article in Journal
Iterative High-Accuracy Parameter Estimation of Uncooperative OFDM-LFM Radar Signals Based on FrFT and Fractional Autocorrelation Interpolation
Next Article in Special Issue
When Social Networks Meet D2D Communications: A Survey
Previous Article in Journal
Gait Study of Parkinson’s Disease Subjects Using Haptic Cues with A Motorized Walker
Previous Article in Special Issue
Strength of Crowd (SOC)—Defeating a Reactive Jammer in IoT with Decoy Messages
Article Menu
Issue 10 (October) cover image

Export Article

Open AccessArticle
Sensors 2018, 18(10), 3551; https://doi.org/10.3390/s18103551

Modeling Network-Controlled Device-to-Device Communications in SimuLTE

Dipartimento di Ingegneria dell’Informazione, University of Pisa, 56122 Pisa, Italy
*
Author to whom correspondence should be addressed.
Received: 7 September 2018 / Revised: 8 October 2018 / Accepted: 17 October 2018 / Published: 19 October 2018

Abstract

In Long Term Evolution-Advanced (LTE-A), network-controlled device-to-device (D2D) communications allow User Equipments (UEs) to communicate directly, without involving the Evolved Node-B in data relaying, while the latter still retains control of resource allocation. The above paradigm allows reduced latencies for the UEs and increased resource efficiency for the network operator, and is therefore foreseen to support several services, from Machine-to-machine to vehicular communications. D2D communications introduce research challenges that might affect the performance of applications and upper-layer protocols, hence simulations represent a valuable tool for evaluating these aspects. However, simulating D2D features might pose additional computational burden to the simulation environment. To this aim, a careful modeling is required to reduce computational overhead. In this paper, we describe our modeling of network-controlled D2D communications in SimuLTE, a system-level LTE-A simulation library based on OMNeT++. We describe the core modeling choices of SimuLTE, and show how these allow an easy extension to D2D communications. Moreover, we describe in detail the modeling of specific problems arising with D2D communications, such as scheduling with frequency reuse, connection mode switching and broadcast transmission. We document the computational efficiency of our modeling choices, showing that simulation of D2D communications is not more complex than simulation of classical cellular communications of comparable scale. Results show that the heaviest computational burden of D2D communication lies in estimating the Sidelink channel quality. We show that SimuLTE allows one to evaluate the interplay between D2D communication and end-to-end performance of UDP- and TCP-based services. Moreover, we assess the accuracy of using a binary interference model for frequency reuse, and we evaluate the trade-off between speed of execution and accuracy in modeling the reception probability. View Full-Text
Keywords: simulation; LTE; direct communication; D2D; SimuLTE simulation; LTE; direct communication; D2D; SimuLTE
Figures

Figure 1

This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
SciFeed

Share & Cite This Article

MDPI and ACS Style

Nardini, G.; Virdis, A.; Stea, G. Modeling Network-Controlled Device-to-Device Communications in SimuLTE. Sensors 2018, 18, 3551.

Show more citation formats Show less citations formats

Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Related Articles

Article Metrics

Article Access Statistics

1

Comments

[Return to top]
Sensors EISSN 1424-8220 Published by MDPI AG, Basel, Switzerland RSS E-Mail Table of Contents Alert
Back to Top