Hybrid decision algorithm for access selection in multi-operator networks

Farhat, Soha; Samhat, Abed Ellatif; Lahoud, Samer

doi:10.1109/wcnc.2014.6952727

Cited by 6 publications

(14 citation statements)

References 7 publications

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“…Therefore, we intend to exploit the advantages of MADM techniques [13] and especially the simplicity of SAW and NPH [14], for the selection decision in a multi-operator network environment. Additionally, we introduce our previously proposed cost function for the selection decision in the multi-operator context [4], and name it by the Nearest Performance and Best Profit Access Selection Algorithm (NP-BPA).…”

Section: Background and Related Workmentioning

confidence: 99%

“…In our proposed algorithm, in order to assure the home operator happiness during the selection decision, we add the transaction profit [4]. Hence, the score of the ith operator is calculated as follow:…”

Section: Nearest Performance and Best Profit Access Selection Algoritmentioning

confidence: 99%

“…These algorithms were initially conceived for the selection decision in a single operator environment. In addition, a performance comparison is made between these algorithms and our previously proposed cost function for the access selection in a multi-operator sharing network [4]. Performance analyses are made in terms of user blocking percentages and global achieved profit using these three algorithms.…”

Section: Introductionmentioning

confidence: 99%

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Comparison between access selection algorithms in multi-operator wireless networks

Farhat¹,

Samhat²,

Lahoud³

et al. 2015

2015 International Conference on Applied Research in Computer Science and Engineering (ICAR)

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International audienceIn fifth generation mobile network, Radio Access Network sharing is an attractive solution for operators to counter the traffic growth and build cost-effective networks in order to improve coverage and capacity at reasonable investments and operational costs. It consists of sharing radio access resources between two or more operators. In such multi-operator environment access selection decision is an important issue for the mobile user and his home operator which the user has contract with. In literature, the majority of access selection algorithms are based on game theory which is very complex for implementation and the decision is slower in comparison with Multiple Attributes Decision Making (MADM) methods. In this paper, we use Simple Additive Weighting (SAW) methods and Nearest Performance Handover (NPH) algorithm for the access selection in a multi-operator environment. These algorithms based on MADM were initially conceived for the selection decision in a single operator environment. In addition, we compare the performance of these algorithms with our previously proposed cost function for the access selection in a multi-operator sharing network. Performance analyses are made in terms of user blocking percentages and global achieved profit. Simulation results showed that our decision algorithm guarantee the lowest blocking probability for all operators, it prevents overloading operator's with high numbers of guest users which affect own clients acceptance. In addition, it improves global achieved profits for all cooperating operators. However, SAW methods showed better performance than NPH concerning users blocking percentages, but NPH guarantees higher profits than SAW methods for the operators with limited capacity

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Section: Background and Related Workmentioning

confidence: 99%

Section: Nearest Performance and Best Profit Access Selection Algoritmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Comparison between access selection algorithms in multi-operator wireless networks

Farhat¹,

Samhat²,

Lahoud³

et al. 2015

2015 International Conference on Applied Research in Computer Science and Engineering (ICAR)

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“…In our previous work [6], w able to insure user's appl guarantee lower service cost function intends to minimize score of the service network an S T |. In addition, it permits to who maximizes the home oper Cs).…”

Section: A Decision Cost Functionmentioning

confidence: 99%

Best operator policy in a heterogeneous wireless network

Farhat¹,

Samhat²,

Lahoud³

et al. 2014

The Third International Conference on E-Technologies and Networks for Development (ICeND2014)

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Abstract-In this paper, we perform a business analysis of our hybrid decision algorithm for the selection of the access in a multi-operator networks environment. We investigate the ability of the operator to express his strategy and influence the access selection for his client. In this purpose, we study two important coefficients of the previously proposed cost function, Wu and Wop, and show that the value of these coefficients is not arbitrary. Simulation results show that the value of the ratio Wu/Wop enables a selection decision respecting operator's strategy and it affects the achieved global profit for all cooperating operators.

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“…In addition, in order to preserve the transparency of the transaction, the mobile user payment goes to his home operator, and the latter must pay a service price (transaction cost) to the new access operator. This cooperation model was introduced first in [7] and [8].…”

Section: Introductionmentioning

confidence: 99%

Access selection and joint pricing in multi-operator wireless networks: A Stackelberg game

Farhat

Chahine

Samhat

et al. 2015

2015 Fifth International Conference on Digital Information and Communication Technology and Its Applications (DICTAP)

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We investigate in this paper the access selection and joint pricing problem in multi-operator wireless networks. The problem is formulated as a Stackelberg game, where cooperating service operators first set the service price to maximize their revenue. Then, the home operator of the mobile user performs the access selection process among the service operators, in order to maximize its own profits and its client satisfaction, in terms of perceived QoS. Competing operators decide the service price following a number of defined pricing schemes, and the home operator uses a hybrid utility function for the selection decision. We consider the Nash equilibrium as a solution of the service price setting game, where the best response is presented in function of the adopted pricing scheme. Simulation results show the efficiency of this multi-leader follower game for the access selection in a multi-operator environment, and illustrate how operators' cooperation enhances network performance and improves operators' revenue.

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Hybrid decision algorithm for access selection in multi-operator networks

Cited by 6 publications

References 7 publications

Comparison between access selection algorithms in multi-operator wireless networks

Comparison between access selection algorithms in multi-operator wireless networks

Best operator policy in a heterogeneous wireless network

Access selection and joint pricing in multi-operator wireless networks: A Stackelberg game

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