@conference { ISI:000366666805090,
	title = {Green Opportunistic Access for Cognitive Radio Networks: A Minority Game Approach},
	booktitle = {2014 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC)},
	series = {IEEE International Conference on Communications},
	year = {2014},
	note = {IEEE International Conference on Communications (ICC), Sydney, AUSTRALIA, JUN 10-14, 2014},
	pages = {5372-5377},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {We investigate energy conservation and system performance of decentralized resource allocation scheme in cognitive radio networks thoroughly based on secondary users competitive behavior. Indeed, the contention on data channel unoccupied by licensed user leads to a single winner, but also involves a loss of energy of all nodes. In this paper, we apply minority game (MG) to the most important phase from the opportunistic spectrum access (OSA) process: the sensing phase. We attempt to carry out a cooperation in a non-cooperative environment with no information exchange. We study the Nash equilibrium solution for pure and fully mixed strategies, and we use distributed learning algorithms enabling cognitive users to learn the Nash equilibrium. Finally, we provide numerical results to validate the proposed approach. The resource allocation based on minority game approach improves secondary users battery life and the performance of the network.},
	isbn = {978-1-4799-2003-7},
	issn = {1550-3607},
	author = {Elmachkour, Mouna and Daha, Imane and Sabir, Essaid and Kobbane, Abdellatif and Ben-Othman, Jalel},
	editor = {Jamalipour, A and Deng, DJ}
}
@conference { ISI:000366666800017,
	title = {Optimal Buffer Management Policies in DTNs: A POMDP Approach},
	booktitle = {2014 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC)},
	series = {IEEE International Conference on Communications},
	year = {2014},
	note = {IEEE International Conference on Communications (ICC), Sydney, AUSTRALIA, JUN 10-14, 2014},
	pages = {94-99},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {Using Delay Tolerant Networks (DTNs) would facilitate the connection of devices and areas across the world that are under-served by current networks. The DTNs are based on the concept of store-carry-and-forward protocols. A node may store a message in its buffer and carry it for a short or a long period of time, until an appropriate forwarding opportunity arises. A critical challenge is to determine routes through the network without even having an end-to-end connection. In order to increase the probability of message delivery, a known approach is implemented using epidemic message replication. This combination of long-term storage and message replication imposes a high storage and bandwidth overhead. Thus, efficient scheduling and dropping policies are necessary to decide which messages should be discarded when nodes{\textquoteright} buffers operate close to their capacity. If a relay buffer is full and needs to store a new packet, it has to decide either to keep the current message or to drop it. This decision depends on the number of transmissions of the message in its buffer and the message which has just arrived. In this paper, a Partially Observed Markov Decision Process (POMDP) framework is proposed to solve the problem of buffer management in DTNs. This modeling technique predicts some properties of the optimal buffer management policy. In addition, numerical examples are presented to illustrate the findings.},
	isbn = {978-1-4799-2003-7},
	issn = {1550-3607},
	author = {Rahmouni, Imane and El Kamili, Mohamed and El Fenni, Mohammed Raiss and Omari, Lahcen and Kobbane, Abdellatif},
	editor = {Jamalipour, A and Deng, DJ}
}
@conference { ISI:000366666801147,
	title = {POMDP Game Framework for Service Providers Inciting Mobile Users},
	booktitle = {2014 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC)},
	series = {IEEE International Conference on Communications},
	year = {2014},
	note = {IEEE International Conference on Communications (ICC), Sydney, AUSTRALIA, JUN 10-14, 2014},
	pages = {1742-1747},
	publisher = {IEEE},
	organization = {IEEE},
	abstract = {The trend today is to access Internet through mobile devices, and people start using smartphones more than computers. This kind of services requires frequent updates through small messages from editors like in social networks. Although the use of such applications is subject to fees and consumes energy from limited batteries of smartphones. If a user activates his mobile device and has a useful contact opportunity with an access point, an update is received at the expense of monetary and energy costs. Thus, users face a tradeoff between such costs and their utilities. The goal of this paper is to show how a user can cope with such a tradeoff, by deriving a threshold policies. We consider the multi-user case, where each user try to maximize its reward based on a bonus given by the provider. We study the optimal policy in the Nash equilibrium. An optimal policy consists of deciding, based on the age of the last message received and the availability of access points whether to activate the mobile device or not. We model our problem using a POMDP with an average reward criterion. The accuracy of our model is illustrated through simulations.},
	isbn = {978-1-4799-2003-7},
	issn = {1550-3607},
	author = {Raiss-el-Fenni, Mohammed and El-Kamili, Mohamed and Ben-Othman, Jalel and Kobbane, Abdellatif},
	editor = {Jamalipour, A and Deng, DJ}
}
