Access Selection and Pricing in Multi-Operator Wireless Networks

Soha Farhat 1, 2
1 ADOPNET - Advanced technologies for operated networks
IRISA-D2 - RÉSEAUX, TÉLÉCOMMUNICATION ET SERVICES, Télécom Bretagne, UR1 - Université de Rennes 1
Abstract : We consider a roaming-based infrastructure sharing system, where multiple operators share their radio access in a multi-operator environment. Indeed, when the home operator of a user is unable to satisfy its constraints, because of lack of resources or QoS, a transaction event is triggered. It consists in transferring the considered user to another operator in order to access the service. Moreover, when there are more than two operators sharing their access, the user transfer process includes an access selection decision in order to choose the best operator for service. Furthermore, when a user is transferred, its home operator must pay some transaction cost as cooperation fees for the new service operator. This transaction is seamless to the user. Therefore, the inter-operators sharing agreement set for cooperation must include three important issues: the selection decision algorithm, the transaction cost pricing scenario, and the percentage of resources shared by each operator. In the first part, we introduce our selection decision algorithm in a multi-operator environment, NP-BPA (Nearest Performance and Best Profit Algorithm). It is based on a multi-criteria cost function which groups the different parameters that enable a satisfying selection decision, for the operators and users. In the second part, we study the transaction cost. We find rational that an operator sets its transaction cost as a function of its service price. We consider a sharing system of three partners, interacting to decide the best transaction cost. Taking into account that the service of a guest user may affect the probability of acceptance of a client, an operator looks for preserving the expected revenue from its client. Therefore, we propose the first pricing scenario, ACAG (As Client As Guest) that aims to set the transaction cost of an operator equal to its service price. However, every operator seeks to maximize its revenue; therefore it is expected to set a higher transaction cost. How much higher? This must respect the sharing agreement between different partners and the service prices they adopt. To be optimistic, we propose a second pricing scenario MIWC (Max In When Cooperating). With this scenario all partners agree to have a transaction cost equal to the highest service price announced in the system. But, this scenario may cause losses in some cases where an operator setting a low service price performs a lot of transactions. To be fair, we propose a third pricing scenario MCWC (Min Cost When Cooperating). With this scenario all partners agree to have a transaction cost equal to the lowest service price announced in the system. In order to decide the best pricing scenario to adopt in the sharing system, a two stage Stackelberg game, TPA (Transaction Pricing and Access Selection) game, is formulated. In this game, the operators are the players; the service operators are the leaders and the home operator of a transferred user is a follower. In the third part, we consider a three operator sharing system with hybrid access mode. In this system partners decide to share a restricted amount of their capacity. We show how the sharing factor affects the blocking rates and affect the global profits. Further, the achieved profit does not depend only on the sharing factor, but also on the adopted pricing scenario. Therefore an economic framework based on game theoretical analysis is proposed. It models the interaction between the sharing system operators for resource sharing and pricing, in addition to the access selection. A sequential game is formulated, where the players are the operators. In the first stage, the sharing partners decide the proportion of resources they will share and the transaction pricing scenario in order to maximize their own profits. In the second stage, the home operator of a transferred user selects the suitable service operator. A bi-level optimization problem is solved and equilibrium is found.
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  • HAL Id : tel-01521312, version 1

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Soha Farhat. Access Selection and Pricing in Multi-Operator Wireless Networks. Networking and Internet Architecture [cs.NI]. Universite de Rennes 1, 2016. English. ⟨tel-01521312⟩

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