arXiv:1704.03065v2 [cs.NI] 4 Sep 2018 39 MoMo: a group mobility model for future generation mobile wireless networks LUCA DE NARDIS and MARIA GABRIELLA DI BENEDETTO, Sapienza University of Rome, Italy Existing group mobility models were not designed to meet the requirements for accurate simulation of current and future short distance wireless networks scenarios, that need, in particular, accurate, up-to-date informa- tion on the position of each node in the network, combined with a simple and flexible approach to group mobility modeling. A new model for group mobility in wireless networks, named MoMo, is proposed in this paper, based on the combination of a memory-based individual mobility model with a flexible group behavior model. MoMo is capable of accurately describing all mobility scenarios, from individual mobility, in which nodes move inde- pendently one from the other, to tight group mobility, where mobility patterns of different nodes are strictly correlated. A new set of intrinsic properties for a mobility model is proposed and adopted in the analysis and comparison of MoMo with existing models. Next, MoMo is compared with existing group mobility models in a typical 5G network scenario, in which a set of mobile nodes cooperate in the realization of a distributed MIMO link. Results show that MoMo leads to accurate, robust and flexible modeling of mobility of groups of nodes in discrete event simulators, making it suitable for the performance evaluation of networking protocols and resource allocation algorithms in the wide range of network scenarios expected to characterize 5G networks. CCS Concepts: • Networks → Network simulations;• Applied computing → Telecommunications; Additional Key Words and Phrases: Group mobility modeling, wireless network simulation, 5G networks. ACM Reference Format: Luca De Nardis and Maria Gabriella Di Benedetto. 2010. MoMo: a group mobility model for future gener- ation mobile wireless networks. ACM Trans. Model. Comput. Simul. 9, 4, Article 39 (March 2010), 25 pages. https://doi.org/0000001.0000001 1 INTRODUCTION The evolution of wireless mobile networks in the last 20 years, moving from GSM/GPRS, through UMTS/HSDPA, to LTE and, as of lately, proposals for 5G systems to come, shows two dominating trends in network design. A first trend is an increase in physical layer flexibility, in order to meet user requirements and provide higher robustness to channel impairments as channel bandwidth increases. A physical layer parameter clearly highlighting this trend is the Transmission Time In- terval (TTI), defined as the shortest time interval over which link configuration can be adjusted: Figure 1 shows TTI across four generations of wireless standards, moving from 20 ms in GSM/Edge [4], to about 0.15 ms as recently proposed for 5G systems [21]. A second trend is the increase in spatial density of wireless devices, from 1000 devices per square kilometer in GSM, to the millions Authors’ address: Luca De Nardis; Maria Gabriella Di Benedetto, Sapienza University of Rome, Via Eudossiana 18, Rome, 00184, Italy, luca.denardis@uniroma1.it, mariagabriella.dibenedetto@uniroma1.it. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from permissions@acm.org. © 2009 Copyright held by the owner/author(s). Publication rights licensed to ACM. XXXX-XXXX/2010/3-ART39 $15.00 https://doi.org/0000001.0000001 ACM Trans. Model. Comput. Simul., Vol. 9, No. 4, Article 39. Publication date: March 2010.