Resource allocation in optical beam-steered indoor networks

Vega, Maria Torres; Famaey, Jeroen; Koonen, Ton; Liotta, Antonio

doi:10.1109/noms.2016.7502839

Cited by 3 publications

(3 citation statements)

References 22 publications

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“…Given the brief nature of this dissertation paper, the contributions to the control of the network, will not be discussed in the remainder. Information regarding BROWSE and its management can be found in [1], [4], [5], [6]. Publications A digital version of this dissertation is available online [3].…”

Section: Publicationsmentioning

confidence: 99%

Cognitive Real-Time QoE Management in Video Streaming Services

Vega

Liotta

2018

2018 30th International Teletraffic Congress (ITC 30)

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Satisfying the needs of users of online video streaming services requires not only to manage the network Quality of Service (QoS), but also to address the user's Quality of Experience (QoE) expectations. While QoS factors reflect the status of individual networks, they do not comprehensively capture the end-to-end features affecting the quality delivered to the user. In this situation, QoE management is the better option. However, traditionally used QoE management models require human interaction and have stringent requirements in terms of time and complexity. Thus, they fail to achieve successful performance in terms of real-timeliness, accuracy, scalability and adaptability. This dissertation work investigates new methods to bring QoE management to the level required by the real-time management of video services. In this paper, we highlight our main contributions. First, with the aim to perform a combined network-service assessment, we designed an experimental methodology able to map network QoS onto service QoE. Our methodology is meant to provide service and network providers with the means to pinpoint the working boundaries of their video-sets and to predict the effect of network policies on perception. Second, we developed a generic machine learning framework that allows deriving accurate predictive No Reference (NR) assessment metrics, based on simplistic NR QoE methods, that are functionally and computationally viable for real-time QoE evaluation. The tools, methods and conclusions derived from this dissertation conform a solid contribution to QoE management of video streaming services, opening new venues for further research.

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Section: Publicationsmentioning

confidence: 99%

Cognitive Real-Time QoE Management in Video Streaming Services

Vega

Liotta

2018

2018 30th International Teletraffic Congress (ITC 30)

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“…Moreover, in [39] the polling-based MAC protocol for wireless networks is presented; wherein the focus is reducing polling overhead, dropping probability, and delay. Furthermore, the resource allocation scheme that exploits channelization technique such as TDMA for indoor VLC is presented in [40]. The energy consumption minimization problem for VLC is studied in [40], wherein, energy minimization subject to throughput maximization is the key points of consideration.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, the resource allocation scheme that exploits channelization technique such as TDMA for indoor VLC is presented in [40]. The energy consumption minimization problem for VLC is studied in [40], wherein, energy minimization subject to throughput maximization is the key points of consideration. Nishio et al,in [41] present the visual recognition based MAC protocol that aims at minimizing collision by using both radio and visible light spectrum.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Polling Medium Access Control Protocol for Optic Wireless Networks

2019

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The emergence of optical wireless networks (OWNs) is a potential solution to the quest for the increasing bandwidth demand. Existing bandwidth assignment strategies are not suitable for OWNs, considering factors such as differences between the physical properties of radio networks and OWNs. In order to eliminate collision, minimize delay and enhance system utilization and fairness, we propose the non-contention bandwidth assignment protocol called adaptive polling medium access control (APMAC) protocol for OWNs. The APMAC protocol involves association, data transmission and dissociation phases. Moreover, the APMAC protocol exploits features of the IEEE 802.15.7 visible light communication (VLC) standard. While assigning bandwidth to the visible light nodes (VLNs), the visible light access point (VLAP) establishes a polling table that contains the identity, buffer size and round-trip time of each VLN that issued bandwidth request. The contents of the polling table enable the computation of the maximum transmission unit and time-slot for each VLN that requests bandwidth assignment. In order to achieve convincing results, we simulate the protocol under varying network sizes ranging from 1 to 10 VLNs per access point, then we compare the results against the medium transparent medium access control (MT-MAC) protocol that is a non-contention MAC protocol. We demonstrate numerical results of our study considering average waiting time, packet collision, system utilization and fairness. Numerical results reveal that the APMAC protocol outperforms the MT-MAC protocol.Appl. Sci. 2019, 9, 1071 2 of 15 capacity demand. There are many reasons that support this argument such as significant bandwidth available in the visible light spectrum i.e., from 430 nm to 790 nm, inherent physical security, no impact on human health, low capital expenditure, and energy efficiency. Different groups such as [5][6][7][8][9][10][11][12] have demonstrated that visible light spectrum can be used for communication purpose. Unlike visible light communication (VLC) that focuses on point to point communication, light fidelity (LiFi) is an extension of VLC that uses light emitting diodes (LEDs) to provide fully networked visible light wireless access network [13,14]. Although at its infancy stage, LiFi has demonstrated potential advantages of using visible light spectrum in communication.Applications of VLC include vehicular networks, indoor mobile network, indoor localization, visible light sensing, gesture recognition, under water communication systems, security systems and health sector [15]. The existence of LEDs in automobiles promotes the use of VLC in transportation systems [16][17][18][19]. In [20], the authors suggest the VLC-based vehicular network for urban mobile crowd sensing that aims at supporting driving automation. The performance of VLC with respect to full duplex communication is investigated in [21] where numerical results show that there is an increase of 10% in data delivery rate. Localization of user equipment is another interes...

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