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![Figure 4: Architecture of the LTE network [1]](profile/Rinor-Bytyci/publication/270960521/figure/fig8/AS:668701091188738@1536442172399/Architecture-of-the-LTE-network-1_Q320.jpg)
Virtualization is the next big thing and various fields are already taking advantage of this technology. Mobile networks is also one of these new technologies that is in the way of adopting virtualization for its core networks. In this paper, we review mainly the work authors in [1]. They come up with four different network elements (SDN switches)...
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... a report from Ericsson [7] released in 2013, it is shown that the number of mobile subscriptions is about 7 billion, with an expected growth to 9.3 billion by 2019, out of which 2.6 billion with be LTE subscriptions. (Figure 2) This is mainly a push to the operators in order support the high increase of user bandwidth requirements. As mentioned above also, the users behaviours have changed with the introduction of smart devices. ...
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Citations
... To overcome these limitations, an architectural evolution that will permit dynamically scaling the EPC network functions while adapting to real world needs is in order. This can be achieved through the use of softwarization techniques, and such potential can be observed in the mobile network evolution trends [12]. These are illustrated in Figure 1, where the changes in the access network and EPC are shown. ...
... Data plane ➀ ➁ ➂ 3GPP control plane SDN controller Data plane Figure 1: Illustration of the mobile network evolution trends enabling network softwarization [12]. ...
Future mobile networks (MNs) are required to be flexible with minimal infrastructure complexity, unlike current ones that rely on proprietary network elements to offer their services. Moreover, they are expected to make use of renewable energy to decrease their carbon footprint and of virtualization technologies for improved adaptability and flexibility, thus resulting in green and self-organized systems. In this article, we discuss the application of software defined networking (SDN) and network function virtualization (NFV) technologies towards softwarization of the mobile network functions, taking into account different architectural proposals. In addition, we elaborate on whether mobile edge computing (MEC), a new architectural concept that uses NFV techniques, can enhance communication in 5G cellular networks, reducing latency due to its proximity deployment. Besides discussing existing techniques, expounding their pros and cons and comparing state-of-the-art architectural proposals, we examine the role of machine learning and data mining tools, analyzing their use within fully SDN- and NFV-enabled mobile systems. Finally, we outline the challenges and the open issues related to evolved packet core (EPC) and MEC architectures.
