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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.
Sensors 2018, 18(10), 3551;
Received: 7 September 2018 / Revised: 8 October 2018 / Accepted: 17 October 2018 / Published: 19 October 2018
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
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MDPI and ACS Style

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

AMA Style

Nardini G, Virdis A, Stea G. Modeling Network-Controlled Device-to-Device Communications in SimuLTE. Sensors. 2018; 18(10):3551.

Chicago/Turabian Style

Nardini, Giovanni, Antonio Virdis, and Giovanni Stea. 2018. "Modeling Network-Controlled Device-to-Device Communications in SimuLTE" Sensors 18, no. 10: 3551.

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