Mobile Internet data traffic has experienced an exponential growth over the last few years due to the rise of demanding multimedia content and the increasing number of mobile devices. Seamless mobility support at the IP level is envisioned as a key architectural requirement in order to deal with the ever-increasing demand for data and to efficiently utilize a plethora of different wireless access networks. Current efforts from both industry and academia aim to evolve the mobility management protocols towards a more distributed operation to tackle shortcomings of fully centralized approaches. However, distributed solutions face several challenges that can result in lower performance which might affect real-time and multimedia applications. In this paper, we conduct an analytical and simulated evaluation of the main centralized and proposed Distributed Mobility Management (DMM) solutions. Our results show that, in some scenarios, when users move at high speed and/or when the mobile node is running long-lasting applications, the DMM approaches incur high signaling cost and long handover latency.

Nowadays, networks are at the center of the next industrial revolution. In fact, 5G in a short time will connect people, industries and things, so understanding how the network is performing its critical mission in this new paradigm is a key aspect. Network analytics increases the knowledge of the network and its users, leading the network managers to make smarter, data-driven decisions about the operations that they will execute in the network. In this article, a new methodology is introduced to analyze real data contained in a Call Details Record of a mobile network. With this novel methodology, the extraction of extreme points using the orthogonal projection decrease the complexity of the classification algorithm to obtain key information about network usage. Experimental results show how the proposed methodology selects and classifies network behavior patterns using a simple classification algorithm and how these patterns could be used to find, for instance, anomalies in the network, track human mobility, undertake network planning, detect events in the network, etc.INDEX TERMS 5G, data analysis, mobile networks, network analytic.

The rapid progress made in mobile device technologies has implied that the access network must evolute and develop new strategies to satisfy the requirements of the users. Heterogeneous network (HetNet) allows for a flexible deployment strategy and offers economically viable solutions to improve network scalability and indoor coverage. This emerging topic has caught the attention of the research community and the industry because of the importance of these networks to satisfy the demand of data services. To provide this demand, different parameters of quality of service (QoS) must be satisfied. In this paper, we present a study on recent advances and open research issues on Mobility Protocols in conjunction with Multi-Protocol Label Switching (MPLS)-based packet transport networks (PTN) to provide QoS in wireless heterogeneous networks. Various mobile management protocols and their interaction with the mobile backhaul and packet core network are briefly introduced. A new architecture called Integrated Proxy Mobile MPLS-TP (IPM-TP) is also outlined to reduce the signalling cost and improve the QoS in HetNets with high rates of mobility.

SUMMARYThe emergence of new kinds of applications and technologies (e.g., data-intensive applications, server virtualization, and big data technology) has led to a higher utilization of network resources. These services imply increased bandwidth consumption and unexpected congestions, especially in backbones. In this article, a novel proposal is studied with the aim of improving the performance of prioritized forwarding equivalence classes in congested Multiprotocol Label Switching Transport Profile (MPLS-TP) domains. The congestion impact on those QoS-aware services that require high reliability and low delay is analyzed. A new policy has been implemented on MPLS-TP, which is a technology that provides QoS by means of flow differentiation in the Internet backbones. The proposal is known as Gossip-based local recovery policy and is offered as an operation, administration, and management function to allow local recovery of lost traffic for MPLS-TP privileged forwarding equivalence classes. In order to fulfill the requirements for implementation on MPLS-TP, a minimum set of extensions to resource reservation protocol traffic engineering has also been proposed to provide self-management capable routes. Finally, we have carried out a performance improvement measurement by means of an analytical model and simulations.

Over the last few years, mobility management in the Internet has been one of the most active fields in communications. The recent increasing mobile traffic demand is having an important impact on the design of mobile networks and some limitations are arising from traditional network deployments. In order to deal with this new scenario, mobility management network architectures are being redesigned towards a more distributed operation. In this paper, we introduce DM3 (distributed mobility management MPLS), a fully distributed architecture designed to track efficiently the mobility of users in the current paradigm of evolving mobile IP networks. In DM3 architecture, several nodes are distributed in the MPLS-based access network and the mobile nodes are served by a close-by mobility anchor. With this operation, we reduce the routing and registration update costs, and provide a low handoff latency with a minimal packet loss rate. Analytical and experimental results are presented to justify the benefits of our proposed architecture. He has published many articles and books and directed research projects related to computing and networking. Currently, he is the general manager of the Fundation COMPUTAEX and the Center CénitS.David Cortés-Polo He got his BS and MS degree in