Cellular-Networks Simulation Using SimuLTE
This chapter describes SimuLTE, a framework within the OMNeT++ ecosystem for simulating Long Term Evolution (LTE) networks. The main focus of SimuLTE lies on developing and testing of communication protocols and resource-allocation algorithms, with an emp
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Cellular-Networks Simulation Using SimuLTE Antonio Virdis, Giovanni Nardini, and Giovanni Stea
5.1 Introduction With the advent of their fourth-generation deployment, known as Long Term Evolution (LTE), cellular networks have undergone a massive increase in popularity, due to their large bandwidth, ubiquitous coverage, and built-in features. More interestingly, they have progressively shifted from single-service to generalpurpose access networks, capable of supporting diverse packet-based services simultaneously. Such a paradigm shift has been accompanied by a parallel one in the related research: research discussing physical-layer issues (i.e., waveforms, signal propagation models, receiver algorithms, coding and modulation, etc.) has lately been complemented by research related to Medium Access Control (MAC) layer issues, like resource allocation, admission control, user-side power saving techniques, performance guarantees, as well as the one dealing with the performance of services offered through cellular networks, from mobile web browsing to smart Internet of Things (IoT). Currently, cellular networks are being considered as a viable alternative to other technologies, such as WiFi for traditional mobile applications, IEEE 802.15.4 and Long Range (LoRa) [5] for sensors and smart things, IEEE 802.11p for vehicular networks, and Asymmetric Digital Subscriber Line (ADSL) for home Internet access. The main advantages of an LTE network are: being infrastructure-based and operator-managed, which relieves service users from the need of deploying and managing a (service-specific) infrastructure of their own, or making do with the lack of one. The fact that it operates on licensed spectrum, guaranteeing absence of external interference, and its built-in features for security, mobility management, and terminal-side power saving. Current trends,
A. Virdis · G. Nardini () · G. Stea University of Pisa, Pisa, Italy e-mail: [email protected]; [email protected]; [email protected] © Springer Nature Switzerland AG 2019 A. Virdis, M. Kirsche (eds.), Recent Advances in Network Simulation, EAI/Springer Innovations in Communication and Computing, https://doi.org/10.1007/978-3-030-12842-5_5
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such as the progression towards fifth-generation (5G) access and the standardization of Multi-access Edge Computing (MEC), all concur to foresee that the role of cellular networks in next-generation communications will increase, incorporating new key features like Device-to-Device (D2D) communications and a tighter coupling between communication and computation resources. Evaluating the performance of cellular networks poses several challenges. The fact that LTE includes a whole stack of layered protocols, each one having buffers and timers, which interact with other features (such as power saving at both the base station and the terminal), intrinsically defies analytical modeling. On the other hand, building prototypes to do live measurements incurs non-trivial difficulties: despite the fact that s
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