SDN Based User-Centric Framework for Heterogeneous Wireless Networks

Lu, Zhaoming; Lei, Tao; Wen, Xiangming; Chen, Xin

doi:10.1155/2016/9874969

Cited by 4 publications

(3 citation statements)

References 20 publications

(17 reference statements)

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“…The 5G mobility management offers a lot of advantages including no need to deploy any mobility‐related component at the access domain and per‐flow mobility support [35]. Inter‐Internet service provider (ISP) handoff provides flexibility to tenants that move from one ISP to another [36]. The orchestrator is also able of enforcing centralised decisions regarding issues such as energy consumption policy [37].…”

Section: Proposed Hybrid 5g Architectural Modelmentioning

confidence: 99%

Hybrid 5G optical‐wireless SDN‐based networks, challenges and open issues

Sarigiannidis

Λάγκας²,

Bibi

et al. 2017

IET Networks

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5th Generation (5G) mobile networks are expected to bring higher capacity, higher density of mobile devices, lower battery consumption and improved coverage. 5G entails the convergence of wireless and wired communications in a unified, efficient architecture. Mobile nodes, as defined in 4G era, are transformed in Heterogeneous Networks (HetNets) to make the front-haul wireless domains flexible and intelligent. This work highlights a set of critical challenges in advancing 5G networks, fuelled by the utilisation of the Network Function Virtualisation (NFV), the Software Defined Radio (SDR) and the Software Defined Networks (SDN) techniques. Furthermore, a novel conceptual model is presented in terms of control and management planes, where the inner architectural components are introduced in detail.

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Section: Proposed Hybrid 5g Architectural Modelmentioning

confidence: 99%

Hybrid 5G optical‐wireless SDN‐based networks, challenges and open issues

Sarigiannidis

Λάγκας²,

Bibi

et al. 2017

IET Networks

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“…On the other hand, as the available bandwidth of the network increases, the performance requirements of users for network services are becoming more and more acute. How to design a solution that can satisfy users' needs for network-perceived network quality [1] under the condition of considering indifferent heterogeneous network connection and rational distribution of heterogeneous network resources has become a key issue in optimizing the utilization of network resources.…”

Section: Introductionmentioning

confidence: 99%

Research on Service Function Chain Orchestrating Algorithm Based on SDN and NFV

Jia¹,

Gong²,

Wei³

2022

Journal of Quantum Computing

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Software defined network (SDN) and network function virtualization (NFV) have become a new paradigm of a new generation of network architecture. SDN and NFV can effectively improve the flexibility of deploying and managing service function chains (SFCs). By combining SDN and NFV and applying them to the resource orchestration problem of SFC deployment, the three-tier architecture consisting of SDN controller, network function virtualization and physical underlying computing resource layer in the process of heterogeneous network resource mapping is considered. And an optimization algorithm for active control resources based on SDN and NFV is proposed. Firstly, the user's utility is modeled by the multistandard aggregated multi-criteria utility algorithm, and the optimization goal is transformed into the problem of maximizing the user's utility. Then the controller, based on the algorithm's prediction of the future state and realtime monitoring of the network utilization, makes decisions and issues control commands for the arriving SFC requests, based on which it occupies the underlying resources held by the virtualized network function (VNF). The simulation results show that, compared with the static timing resource allocation algorithm, the active control resource deployment algorithm proposed in the article has better performance in terms of resource utilization, acceptance rate, and user creation utility.

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“…The work in Zhang et al discusses about a better end‐to‐end connection method between GPRS and IEEE 802.11. Several researchers has explored on software‐defined network (SDN)‐based heterogeneous wireless network such as Bhatia et al and Lu et al A user‐centric scheme for multihoming in heterogeneous wireless networks as unequal cost load balance was proposed in Naeem et al where the analytical hierarchy process (AHP), along with a utility equation, is applied to the system model for unequal load balance solution.…”

Section: Introductionmentioning

confidence: 99%

Vehicular HetNet load distribution using centralized control of software‐defined network

Kandar

Paul

Chyne

2020

Int J Communication

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Current vehicular communication systems experience from nonflexible and costly devices, complicated control-plane protocols, and vendor-specific configuration interfaces. In the next generation vehicular communication, a mobile device (MD) will be installed on a car capable of accessing multiple services from different networks. So heterogeneous networks (HetNets) may play a vital role in vehicular communication. Despite heterogeneity, flawless connectivity between different systems is a basic need of the travellers. The key challenge for seamless connectivity is the design of a vertical handover (VHO) scheme.We claim that software-defined networking (SDN) can make things easier in the design and supervision of VHO in vehicular HetNet. The proposed method maximizes the HetNet utilization with lesser handover by balancing the load among the HetNets. Simulation results performed in MATLAB justified that this novel architecture with proper VHO technique boosts the performance by balancing the load, reducing unnecessary VHO, etc. Performance is analyzed by considering four studies, ie, handover served ratio (HSR), on board units (OBUs), OBU served ratio (OSR), and total throughput and total capacities of road side units (RSUs) to serve handover demands from OBUs. It is observed that the HSR increases rapidly as the number of OBUs increases, which indicates almost all the handover requested OBUs are allocated resources by a connected RSU. We also studied the served total throughput by considering VHO with SDN, without SDN in the average case and without SDN in the best case, and it is observed that with SDN as a central controller, the total OSR and total throughput is increased. KEYWORDShandover served ratio, heterogeneous network, RSU selection, software-defined network, vehicular communication INTRODUCTIONThe advancement of wireless networks is creating web browsing, banking, social networking, multimedia services, and other activities user friendly nowadays, even in speedy mobile condition. Current vehicular communication becomes an important part of human's daily life by providing numerous services associated with nonsafety and safety applications. 1 Vehicular ad hoc networks (VANETs) theater a crucial function in order to support the people's demand on wheels, and that will grow 2 very fast in the near future. Even with the increase demand on the requirement for different stand-alone mobile standards, the lack of interest for commercialization of such individual standards are due to cost Int J Commun Syst. 2020;33:e4329.wileyonlinelibrary.com/journal/dac 2 of 13 KANDAR ET AL.factors, backward-compatibility concerns, etc, and the industry will be interested to come together on a common standard. As an outcome, the vehicular communication scenery will continue to vary for the estimated outlook. Building heterogeneity is an important aspect for service providers and mobile device companies to deal with. The mobile system companies are incorporating further network interfaces into their equipment. Currently, various...

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SDN Based User-Centric Framework for Heterogeneous Wireless Networks

Cited by 4 publications

References 20 publications

Hybrid 5G optical‐wireless SDN‐based networks, challenges and open issues

Hybrid 5G optical‐wireless SDN‐based networks, challenges and open issues

Research on Service Function Chain Orchestrating Algorithm Based on SDN and NFV

Vehicular HetNet load distribution using centralized control of software‐defined network

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