scholarly journals A Fog Computing-Based Device-Driven Mobility Management Scheme for 5G Networks

Sensors ◽  
2020 ◽  
Vol 20 (21) ◽  
pp. 6017
Author(s):  
Sanjay Kumar Biswash ◽  
Dushantha Nalin K. Jayakody
Keyword(s):  
Cellular Networks ◽  
Mobility Management ◽  
Network Architecture ◽  
Communication Systems ◽  
Fog Computing ◽  
Next Generation ◽  
Mobile Nodes ◽  
Network Computing ◽  
Management Procedure

The fog computing-based device-driven network is a promising solution for high data rates in modern cellular networks. It is a unique framework to reduce the generated-data, data management overheads, network scalability challenges, and help us to provide a pervasive computation environment for real-time network applications, where the mobile data is easily available and accessible to nearby fog servers. It explores a new dimension of the next generation network called fog networks. Fog networks is a complementary part of the cloud network environment. The proposed network architecture is a part of the newly emerged paradigm that extends the network computing infrastructure within the device-driven 5G communication system. This work explores a new design of the fog computing framework to support device-driven communication to achieve better Quality of Service (QoS) and Quality of Experience (QoE). In particular, we focus on, how potential is the fog computing orchestration framework? How it can be customized to the next generation of cellular communication systems? Next, we propose a mobility management procedure for fog networks, considering the static and dynamic mobile nodes. We compare our results with the legacy of cellular networks and observed that the proposed work has the least energy consumption, delay, latency, signaling cost as compared to LTE/LTE-A networks.

A Survey of IP Layer Mobility Management Protocols in Next Generation Wireless Networks

2010 ◽  
pp. 79-93 ◽  
Author(s):  
Li Jun Zhang ◽  
Liyan Zhang ◽  
Laurent Marchand ◽  
Samuel Pierre
Keyword(s):  
Wireless Networks ◽  
Mobility Management ◽  
Critical Issue ◽  
Mobile Ipv6 ◽  
Next Generation ◽  
Mobile Nodes ◽  
Hierarchical Mobile Ipv6 ◽  
Next Generation Wireless Networks ◽  
Management Procedure ◽  
Mobility Management Protocols

This chapter provides a survey of IP layer mobility management protocols in next generation wireless networks. In all-IP-based next generation wireless networks, mobile nodes freely change their points of attachment to the network while communicating with correspondent nodes. Hence, mobility management consists of a critical issue, which is to track mobile users’ current location and to efficiently route packets to them. This chapter elaborates the mobility management procedure for the protocols such as mobility support in IPv6 (MIPv6), hierarchical mobile IPv6 mobility management (HMIPv6), fast handovers for mobile IPv6 (FMIPv6), fast handover for hierarchical mobile IPv6 (F-HMIPv6) and proxy mobile IPv6 (PMIPv6). Furthermore, future trends about mobility management are described as well. He authors hope that understanding these mobility management protocols can not only help the researchers to find more advanced solutions in this field, but also provide a training toolkit within the mobile operators.

A Perspective on Self-Optimization in Next Generation Cellular Networks

2016 ◽  
pp. 66-91
Author(s):  
Sumita Mishra ◽  
Nidhi Mathur
Keyword(s):  
Quality Of Service ◽  
Cellular Networks ◽  
Poor Quality ◽  
Wireless Channel ◽  
Cellular Systems ◽  
Next Generation ◽  
High Bandwidth ◽  
Telecom Service ◽  
Key Aspects

During the past few decades wireless technology has seen a tremendous growth. The recent introduction of high-end mobile devices has further increased subscribers' demand for high bandwidth and quality of service. The number of nodes in future cellular systems will be too large to be configured and maintained manually. Further the mobility of users, the varying nature of the wireless channel and variation in user demand systems requires optimization of network parameters and delay in configuration may cause congestion and poor Quality of Service. Due to this increased complexity and the huge scale of wireless systems the network configuration, optimization and maintenance process performed by radio engineers has become inefficient and therefore, lot of research is being done to introduce self-optimizing capabilities within the network, which is expected to permit higher end user Quality of Service (QoS) and less operation cost and maintenance cost for telecom service providers. This chapter details the key aspects related to self optimization of next generation cellular networks.

Mobility Support for IPv6-based Next Generation Wireless Networks

2012 ◽  
Vol 2 (3) ◽  
pp. 18-41 ◽  
Author(s):  
Li Jun Zhang ◽  
Samuel Pierre
Keyword(s):  
Wireless Networks ◽  
Mobility Management ◽  
Performance Metrics ◽  
Access Network ◽  
Domain Size ◽  
Mobile Ipv6 ◽  
Next Generation ◽  
Hierarchical Mobile Ipv6 ◽  
Next Generation Wireless Networks ◽  
Management Procedure

This paper presents an overview of IPv6-based mobility management protocols: mobile IPv6 (MIPv6), fast handovers for mobile IPv6 (FMIPv6), hierarchical mobile IPv6 (HMIPv6), and fast handover for hierarchical mobile IPv6 (F-HMIPv6). All these protocols play an important role in the next generation wireless networks, because in such networks, mobile users need to be freely change their access network or domain with on-going real-time multimedia services. The mobility management procedure for each protocol is described in details. Furthermore, handover performance is compared for host-based mobility protocols using analytical modeling. The effect of various wireless network parameters on the performance is studied carefully. Numerical analysis shows that handoff performance in wireless networks is largely dependent on various system parameters such as the user velocity, subnet radius, and session-to-mobility ratio, domain size and binding lifetime; there is a trade-off between performance metrics and such parameters.

scholarly journals Energy-aware caching and collaboration for green communication systems

2020 ◽  
pp. 47-59
Keyword(s):  
Energy Efficiency ◽  
Renewable Energy ◽  
Energy Harvesting ◽  
Cellular Networks ◽  
Communication Systems ◽  
Green Energy ◽  
Base Stations ◽  
Next Generation ◽  
Content Caching ◽  
Self Powered

Social networks and mobile applications tend to enhance the need for high-quality content access. To meet the growing demand for data services in 5G cellular networks, it is important to develop effective content caching and distribution techniques, to reduce redundant data transmission and thereby improve network efficiency significantly. It is anticipated that energy harvesting and self-powered Small Base Stations' (SBS) are the rudimentary constituents of next-generation cellular networks. However, uncertainties in harvested energy are the primary reasons to opt for energy-efficient (EE) power control schemes to reduce SBS energy consumption and ensure the quality of services for users. Using edge collaborative caching, such EE design can also be achievable via the use of the content cache, decreasing the usage of capacity limited SBSs backhaul and reducing energy utilisation. Renewable energy (RE) harvesting technologies can be leveraged to manage the huge power demands of cellular networks. To reduce carbon footprint and improve energy efficiency, we tailored a more practical approach and propose green caching mechanisms for content distribution that utilise the content caching and renewable energy concept. Simulation results and analysis provide key insights that the proposed caching scheme brings a substantial improvement regarding content availability, cache storage capacity at the edge of cellular networks, enhances energy efficiency, and increases cache collaboration time up to 24%. Furthermore, self-powered base stations and energy harvesting are an ultimate part of next-generation wireless networks, particularly in terms of optimum economic sustainability and green energy in developing countries for the evolution of mobile networks.

scholarly journals Tunnel-Free Distributed Mobility Management (DMM) Support Protocol for Future Mobile Networks

Electronics ◽  
2019 ◽  
Vol 8 (12) ◽  
pp. 1519
Author(s):  
Madeeha Aman ◽  
Saeed Mahfooz ◽  
Muhammad Zubair ◽  
Neelam Mukhtar ◽  
Kanwal Imran ◽  
...  
Keyword(s):  
Mobility Management ◽  
Packet Loss ◽  
Network Architecture ◽  
Blocking Probability ◽  
Data Packet ◽  
Management Support ◽  
Core Network ◽  
Mobile Nodes ◽  
Handover Latency ◽  
Distributed Mobility Management

The number of wireless services and devices have remarkably increased, especially since the introduction of smart phones. The population of mobile nodes (MNs) is now exceeding the traditional non-mobile nodes. Mobility is a key factor in mobile core networks as it is responsible for providing continuous communication when a MN is on the move. Currently, a centralized mobile core network architecture is implemented, which has certain limitations. Distributed mobility management (DMM) is often seen as a solution to the problems associated with centralized mobility management (CMM). Address and tunneling management are big challenges for current DMM-based mobility protocols. Keeping in mind the current advancement of mobile network architecture, this paper proposes a novel tunnel-free distributed mobility management support protocol intended for such an evolution. In addition, the performance of the existing DMM IPv6 mobility management protocols in the context of handover latency, handover blocking probability, and data packet loss is analyzed and compared to the proposed framework. The performance analyses show that the proposed tunnel-free method can reduce about 12% of handover latency, 71% of handover blocking probability, and 82% of data packet loss.

scholarly journals QoS Management and Flexible Traffic Detection Architecture for 5G Mobile Networks

Sensors ◽  
2019 ◽  
Vol 19 (6) ◽  
pp. 1335 ◽  
Author(s):  
Fernando López Rodríguez ◽  
Ugo Silva Dias ◽  
Divanilson Campelo ◽  
Robson Oliveira Albuquerque ◽  
Se-Jung Lim ◽  
...  
Keyword(s):  
Quality Of Service ◽  
Mobile Networks ◽  
Network Architecture ◽  
Access Networks ◽  
Network Function Virtualization ◽  
Core Network ◽  
Next Generation ◽  
Qos Management ◽  
Traffic Detection

The next generation of 5G networks is being developed to provide services with the highest Quality of Service (QoS) attributes, such as ultra-low latency, ultra-reliable communication, high data rates, and high user mobility experience. To this end, several new settings must be implemented in the mobile network architecture such as the incorporation of Network Function Virtualization (NFV) and Software-Defined Networking (SDN), along with the shift of processes to the edge of the network. This work proposes an architecture combining the NFV and SDN concepts to provide the logic for Quality of Service (QoS) traffic detection and the logic for QoS management in next-generation mobile networks. It can be applied to the mobile backhaul and the mobile core network to work with both 5G mobile access networks or current 4G access networks, keeping backward compatibility with current mobile devices. In order to manage traffic without QoS and with QoS requirements, this work incorporates Multiprotocol Label Switching (MPLS) in the mobile data plane. A new flexible and programmable method to detect traffic with QoS requirements is also proposed, along with an Evolved Packet System (EPS)-bearer/QoS-flow creation with QoS considering all elements in the path. These goals are achieved by using proactive and reactive path setup methods to route the traffic immediately and simultaneously process it in the search for QoS requirements. Finally, a prototype is presented to prove the benefits and the viability of the proposed concepts.

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