Utility-based RAT selection optimization in heterogeneous wireless networks

Kosmides, Pavlos; Rouskas, Angelos; Anagnostou, Miltiades E.

doi:10.1016/j.pmcj.2013.03.007

Cited by 28 publications

(22 citation statements)

References 8 publications

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“…The value of utility function is a relative index value. Generally speaking, the utility value for a user's most satisfied attribute value is equal to 1, while the utility value for the least satisfied attribute value is equal to 0 [29]. For beneficial criteria (e.g., bandwidth), the larger the parameter value, the higher the degree of satisfaction; therefore, the utility value is u(x).…”

Section: Using Utility Functions To Calculate Utility Values Of Netwomentioning

confidence: 99%

Network selection algorithm for heterogeneous wireless networks based on service characteristics and user preferences

Liang

Huang

2018

J Wireless Com Network

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Next generation heterogeneous wireless networks (HWNs) will integrate various wireless access technologies, such as cellular networks, wireless local area network (WLAN), and Worldwide Interoperability for Microwave Access (WiMAX), in order to support quality of service (QoS) requirements of various services. To connect mobile users to the best wireless network continuously, network selection has become a hotspot for research in HWNs. This paper designs a network selection algorithm based on service characteristics and user preferences. First, utility functions are used to calculate the utility value of each network attribute for different services. Next, the entropy method and the fuzzy-analytic hierarchy process (FAHP) are used to calculate the objective weight and subjective weight of network attributes respectively, with FAHP specifically being used to calculate the user preference values of services for candidate networks. Finally, simple additive weighting (SAW), multiplicative exponent weighting (MEW), and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) are used according to network attribute utility values and weights to calculate the score of each candidate network. These scores are converted into a comprehensive score for the candidate network based on such user preferences, thus obtaining the ranking of candidate networks. Simulation results show that the proposed algorithm can allow users to choose the most suitable network to access according to different service characteristics while reducing the number of network handovers.

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Section: Using Utility Functions To Calculate Utility Values Of Netwomentioning

confidence: 99%

Network selection algorithm for heterogeneous wireless networks based on service characteristics and user preferences

Liang

Huang

2018

J Wireless Com Network

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“…However, some studies focus also on other mathematical models such as fuzzy logic methods which can be used in VHD. The authors of [9] proposed an utility-based Radio Access Technology (RAT) selection optimization in heterogeneous wireless networks, they introduced three utility-based optimization functions based on the type of application that users request. They formulated the terminal assignment problem as an optimization problem, which is recognized as NP-hard.…”

Section: Related Workmentioning

confidence: 99%

Multi-Criteria Vertical Handover Comparison between Wimax and Wifi

Drissi

Oumsis

2015

Information

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Abstract:In next generation wireless networks, the most tempting feature is the ability of the user to move smoothly over different access networks regardless of the network access technology. In this paper we study the benefit of Multiple Attribute Decision Making (MADM) strategies for network selection. We compare three of these methods naming Simple Additive Weighting (SAW), Multiplicative Exponential Weighting (MEW) and Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) in a realtime ns-3 simulation. Analytic Hierarchy Process (AHP) provides the weights of attributes which allow the comparison in different types of applications. Therefore, we propose a performance evaluation model with a reconfiguration of AHP parameters used in the literature. Simulation results show that the proposed parameters provide an improvement of Delay and offer allowable Packet loss in different types of applications.

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“…There are several works on VHO for wireless mobile communication scenario considering QoS but no remarkable work in vehicular communication. A VHO architecture for the combination of optical and RF WLANs is projected in Sakurai et al by means of tunneling method.…”

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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Utility-based RAT selection optimization in heterogeneous wireless networks

Cited by 28 publications

References 8 publications

Network selection algorithm for heterogeneous wireless networks based on service characteristics and user preferences

Network selection algorithm for heterogeneous wireless networks based on service characteristics and user preferences

Multi-Criteria Vertical Handover Comparison between Wimax and Wifi

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

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