A novel MAC and scheduling strategy to guarantee QoS for-the new-generation WIND-FLEX wireless LAN

Cusani, Roberto; Priscoli, Francesco Delli; Ferrari, Gianluigi; Torregiani, Maurizio

doi:10.1109/mwc.2002.1016711

Cited by 19 publications

(5 citation statements)

References 8 publications

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“…Thus, our scheduling algorithm adaptively varies the overall output rate according to the available bandwidth. There exist many work on opportunistic wireless link scheduling [3], [6], [9], [20]. The main principle of the wireless link awareness in A-MAC is based on the credit method introduced in [3].…”

Section: B Schedulingmentioning

confidence: 99%

A-MAC: Adaptive Medium Access Control for Next Generation Wireless Terminals

Vuran

Akyildiz

2007

IEEE/ACM Trans. Networking

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Abstract-Next Generation (NG) wireless networks are envisioned to provide high bandwidth to mobile users via bandwidth aggregation over heterogeneous wireless architectures. NG wireless networks, however, impose challenges due to their architectural heterogeneity in terms of different access schemes, resource allocation techniques as well as diverse quality of service requirements. These heterogeneities must be captured and handled dynamically as mobile terminals roam between different wireless architectures. However, to address these challenges, the existing proposals require either a significant modification in the network structure and in base stations or a completely new architecture, which lead to integration problems in terms of implementation costs, scalability and backward compatibility. Thus, the integration of the existing medium access schemes, e.g., CSMA, TDMA and CDMA, dictates an adaptive and seamless medium access control (MAC) layer that can achieve high network utilization and meet diverse Quality of Service (QoS) requirements. In this paper, an adaptive medium access control (A-MAC) layer is proposed to address the heterogeneities posed by the NG wireless networks. A-MAC introduces a two-layered MAC framework that accomplishes the adaptivity to both architectural heterogeneities and diverse QoS requirements. A novel virtual cube concept is introduced as a unified metric to model heterogeneous access

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Section: B Schedulingmentioning

confidence: 99%

A-MAC: Adaptive Medium Access Control for Next Generation Wireless Terminals

Vuran

Akyildiz

2007

IEEE/ACM Trans. Networking

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“…Oppositely, the IntServ architecture is a fine-grained approach, meaning that each flow could be handled separately, according to its specific QoS requirements (for instance bandwidth requirements). Several approaches were presented in literature either following the DiffServ concept ( [9]) or the IntServ concept ( [10], [11] [12], [13]) or both ( [14], [15]). …”

Section: Introductionmentioning

confidence: 99%

A QoE-aware dynamic bandwidth allocation algorithm based on game theory

Oddi

Pietrabissa

Priscoli

et al. 2015

2015 23rd Mediterranean Conference on Control and Automation (MED)

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Quality of Experience (QoE) is a wide concept including user perception, behavior and expectations as well as application and network performances. The Internet of the future should be able to increase the QoE offered to the users, also in relationship with their commercial profiles. This paper presents an innovative approach, based on game theory, which, according to the feedback of QoE, is able to dynamically assign the available bandwidth of a shared technology (e.g. a WLAN, a cell) to the running flows, in order to maximize the QoE of the users and to guarantee fairness. Moreover, flows could be prioritized, according to commercial profiles (e.g., flows for which users pay more must be served with higher quality). The proposed approach is independent of the way the feedback of QoE is computed (it could be given by a direct user quality expression, estimated from the QoS measurements, from the user's behavior, etc.): the only assumption is that the QoE is a non-decreasing continuous function of the bandwidth allocated to the application. Simulations, considering audio flows with different codecs for which the IQX hypothesis (i.e., exponential interdependency of QoE and QoS) holds, show high performances and fairness/prioritization properties

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“…). FI-WARE/FI-CORE proposed a cognitive architecture ( [4] and [5]) in order to provide a truly open, public and royalty-free architecture, reduce obstacles and foster innovation and entrepreneurship. FI-WARE/FI-CORE are based upon elements called Generic Enablers (GEs) which offer reusable and commonly shared functions serving a multiplicity of different sectors.…”

Section: Introductionmentioning

confidence: 99%

Electric Vehicles charging control based on future internet generic enablers

Lanna

Liberati

Zuccaro

et al. 2014

2014 IEEE International Electric Vehicle Conference (IEVC)

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Abstract-In this paper a rationale for the deployment of Future Internet based applications in the field of Electric Vehicles (EVs) smart charging is presented. The focus is on the Connected Device Interface (CDI) Generic Enabler (GE) and the Network Information and Controller (NetIC) GE, which are recognized to have a potential impact on the charging control problem and the configuration of communications networks within reconfigurable clusters of charging points. The CDI GE can be used for capturing the driver feedback in terms of Quality of Experience (QoE) in those situations where the charging power is abruptly limited as a consequence of short term grid needs, like the shedding action asked by the Transmission System Operator to the Distribution System Operator aimed at clearing networks contingencies due to the loss of a transmission line or large wind power fluctuations. The NetIC GE can be used when a master Electric Vehicle Supply Equipment (EVSE) hosts the Load Area Controller, responsible for managing simultaneous charging sessions within a given Load Area (LA); the reconfiguration of distribution grid topology results in shift of EVSEs among LAs, then reallocation of slave EVSEs is needed. Involved actors, equipment, communications and processes are identified through the standardized framework provided by the Smart Grid Architecture Model (SGAM).

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A novel MAC and scheduling strategy to guarantee QoS for-the new-generation WIND-FLEX wireless LAN

Cited by 19 publications

References 8 publications

A-MAC: Adaptive Medium Access Control for Next Generation Wireless Terminals

A-MAC: Adaptive Medium Access Control for Next Generation Wireless Terminals

A QoE-aware dynamic bandwidth allocation algorithm based on game theory

Electric Vehicles charging control based on future internet generic enablers

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