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

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 reduc...

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Main Authors: Giovanni Nardini, Antonio Virdis, Giovanni Stea
Format: Article
Language:English
Published: MDPI AG 2018-10-01
Series:Sensors
Subjects:
Online Access:http://www.mdpi.com/1424-8220/18/10/3551
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author Giovanni Nardini
Antonio Virdis
Giovanni Stea
author_facet Giovanni Nardini
Antonio Virdis
Giovanni Stea
author_sort Giovanni Nardini
collection DOAJ
description 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.
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spelling doaj.art-0132f0c6efb041399c3b1d05a122982f2022-12-22T01:58:37ZengMDPI AGSensors1424-82202018-10-011810355110.3390/s18103551s18103551Modeling Network-Controlled Device-to-Device Communications in SimuLTEGiovanni Nardini0Antonio Virdis1Giovanni Stea2Dipartimento di Ingegneria dell’Informazione, University of Pisa, 56122 Pisa, ItalyDipartimento di Ingegneria dell’Informazione, University of Pisa, 56122 Pisa, ItalyDipartimento di Ingegneria dell’Informazione, University of Pisa, 56122 Pisa, ItalyIn 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.http://www.mdpi.com/1424-8220/18/10/3551simulationLTEdirect communicationD2DSimuLTE
spellingShingle Giovanni Nardini
Antonio Virdis
Giovanni Stea
Modeling Network-Controlled Device-to-Device Communications in SimuLTE
Sensors
simulation
LTE
direct communication
D2D
SimuLTE
title Modeling Network-Controlled Device-to-Device Communications in SimuLTE
title_full Modeling Network-Controlled Device-to-Device Communications in SimuLTE
title_fullStr Modeling Network-Controlled Device-to-Device Communications in SimuLTE
title_full_unstemmed Modeling Network-Controlled Device-to-Device Communications in SimuLTE
title_short Modeling Network-Controlled Device-to-Device Communications in SimuLTE
title_sort modeling network controlled device to device communications in simulte
topic simulation
LTE
direct communication
D2D
SimuLTE
url http://www.mdpi.com/1424-8220/18/10/3551
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AT antoniovirdis modelingnetworkcontrolleddevicetodevicecommunicationsinsimulte
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