Burak Simsek

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In this paper, we solve the problem of candidate access point selection in 802.11 networks, when there is more than one access point available to a station. We use the QBSS (quality of service enabled basic service set) Load Element of the new WLAN standard 802.11e as prior information and deploy a decision making algorithm based on reinforcement learning.(More)
The new standard IEEE 802.11e targets at enhancing the legacy 802.11 so that QoS management over WLAN standards becomes possible. This is done by the introduction of two new functions, the enhanced distributed channel access (EDCA) and the hybrid coordination function controlled channel access (HCCA) for offering diffserv and intserv functionalities. The(More)
In remote parts of Africa, the lack of energy supply, of wired infrastructure , of trained personnel and the limitation in OPEX and CAPEX impose stringent requirements on the network building blocks that support the communication infrastructure. Consequently, in this promising but untapped market, the research aims at designing and implementing(More)
This paper presents the Self-Configuration architecture design for a multi-radio, multi-technology, carrier grade wireless mesh network (CARMEN). It also describes functions of various system components and their interoperation. The architecture highlights the integration of the novel Abstract Interface (AI) and the IEEE 802.21 extension for media(More)
IEEE is preparing its new WLAN standard 802.11e in order to be able to cope with the emergent needs of real time traffic over wireless networks. Within this new standard there is an element called the QBSS (QoS enhanced basic service set) load element which should help in solving the problem of candidate access point selection .In this paper we show that(More)
The paper presents a yield optimizing scheduling system (YOSS) in a decentralized supply chain management (DSCM) environment. For this purpose we employ a DSCM scenario in which each supplier, provides system parts by order of one or more customers. The supplier tries to optimize its return by searching the optimal schedule for the single machine he uses to(More)
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