# Key Technologies in the Context of Future Networks: Operational and Management Requirements
## 5 Conclusions  
The next generation of mobile networks will be able to support higher capacity, lower latency and massive network access compared with current mobile deployments. Future mobile systems require the enhancement of radio and network elements, which takes advantage of intelligent mechanisms, cloud computing, SDN and NFV approaches. At the same time, these technologies foster the service innovation and provide ubiquitous and on-demand features. This paper has discussed SDN, NFV, Cloud Computing and SON concepts as enabler technologies to design future mobile networks. We have focused on concepts that could aid to cover operational and management requirements as well as radio and network capabilities. It also presents the ongoing projects and use cases that leverage these technologies in the context of mobile networks. This work is intended to explain the benefits that we could obtain from the combination between these concepts and the challenges to lay the foundations of Future Mobile Networks.  
This work is supported by the European Commission Horizon 2020 Programme under grant agreement number H2020-ICT-2014-2/671672 - SELFNET (Framework for Self-Organized Network Management  
\begin{table}
\begin{tabular}{p{113.8 pt} p{113.8 pt} p{113.8 pt}} \hline \hline
**Requirement** & **Challenge** & **Future Trends/Enabler Technologies** \\ \hline \hline \multirow{3}{*}{Mutil-tenancy and multi-service support} & Service providers can control the resources deployed in a shared infrastructure (network, computing, mobile resources). & \(\bullet\) Cloud computing SDN \(\bullet\) NFV \(\bullet\) NFV \(\bullet\) Mobile Edge Computing (MEC) \\ \hline \multirow{3}{*}{Open Environment} & New applications and NFs could be deployed in an open environment, regardless of the network hardware and technologies used by operators. & \(\bullet\) Standardization of SDN and NFV concepts. \(\bullet\) Introduction of SDR. \\ \hline \multirow{3}{*}{Energy efficiency operation} & Saving energy per service provided. Nowadays, most of the energy consumption comes from RAN elements. & Introduction of intelligent and SON capabilities taking into account the device status. \\ \hline \multirow{3}{*}{Monitoring and Management} & Provide self-management and self-optimization capabilities to 5G systems. & \(\bullet\) Automated management and monitoring functions (SDN, NFV). \(\bullet\) Takes decisions based on historical record of network status. \\ \hline \multirow{3}{*}{Ensuring QoS/ QoE and SLA} & A 5G user will be able to obtain enhanced services, regardless of the location or network technologies (compared with 4G systems), for several use cases such as emergency situations or network failures. & \(\bullet\) Enhanced mechanism to monitor the network status (traffic optimization techniques) via SDN and intelligent mechanism. \(\bullet\) Automated network configuration to ensure the required need \\ \hline \multirow{3}{*}{Charging and billing} & Create different user profiles so that customers pay only the required service (pay-as-you-go), while operators bill the respective service. & \(\bullet\) Enhanced mechanism to monitor the network status (traffic optimization techniques) via SDN and intelligent mechanism. \(\bullet\) Automated network configuration to ensure the required need \\ \hline \hline \end{tabular}
\end{table}
Table 2: _Cont._in Virtualized and Software Defined Networks). [PERSON] and [PERSON] are supported by the Secretaria Nacional de Educacion Superior, Ciencia, Tecnologia e Innovacion SENESCYT (Quito, Ecuador) under Convocatoria Abierta 2012 and 2013 Scholarship Program.  
**Author Contributions:** The authors contributed equally to this research.  
**Conflicts of Interest:** The authors declare no conflict of interest.