Browsing by Author "Ayub, Shahid"

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    Analysis of wireless connectivity applications at airport surface
    (IEEE, 2020-04-30) Ayub, Shahid; Petrunin, Ivan; Tsourdos, Antonios; Xu, Zhengjia
    The main objective of the current work is to carry out the research to explore the potential wireless communication technologies that can be used during a flight operation at the airport surface for current and potential data applications in future. An important part of this work is the analysis of these services and applications from the perspective of understanding the stakeholders and communication means involved. Different communication services including both critical and non-critical ones are analyzed for aircrafts, airlines, and airport connectivity covering flight stages from landing at the airport to taking off from the airport. We are also proposing the ways of more effective use of communication means including the proposed measures for throughput improvement in order to better meet the needs of the airport stakeholders
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    In-flight entertainment datalink analysis and simulation
    (IEEE, 2020-11-18) Ayub, Shahid; Petrunin, Ivan; Tsourdos, Antonios; Al-Rubaye, Saba; Stapylton, Gareth
    In-Flight Entertainment (IFE) datalink is one of the airport connectivity areas, where efforts are being made by different stakeholders to improve and update the entertainment services offered to the passengers. An important objective of IFE datalink is to increase the flight operation efficiency by managing IFE data transfer within turnaround time which is about 45 minutes. With the rapid advancements and innovation in multimedia applications and services, the IFE data size in the future will turn into terabytes, therefore, this transfer requires a multi-Gbps datalink in order to be completed within expected turnaround time. This paper focuses on simulation of IFE datalink communication scenario at an airport surface using Wi-Fi (802.11ac) technology, provides rules and guidelines on suitability of wireless datalinks for IFE update at the airports, studies QoS requirements, and performs optimization. Several aspects of the IFE datalink selection and deployment have been considered, such as airport operational areas, airport layouts, radio frequency, and data congestion before conducting a capacity and coverage analysis
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    Learning based spectrum hole detection for cognitive radio communication
    (IEEE, 2020-04-30) Xu, Zhengjia; Petrunin, Ivan; Tsourdos, Antonios; Ayub, Shahid
    This paper proposes a novel learning based (LB) solution for detection and quantification of spectrum holes in periodic communications of unmanned aerial vehicles (UAVs), Instead of hypothesis testing after implementation of spectrum sensing methods, the implemented LB solution based on spectral correlation function (SCF) uses region convolutional neural network (R-CNN) for extracting quantitative parameters of the spectrum holes. The proposed LB approach is implemented using GoogLeNet architecture for the wide band detection in the scenario of orthogonal frequency division multiplexing (OFDM) communication system with the additive white Gaussian noise (AWGN) channel model. The simulation of single input single output (SISO) communication system with spectrum holes is presented. Examples of wide band detection results for both SISO and multiple input multiple output (MIMO) systems are shown and the proposed LB detector is found to be fairly accurate in identification of spectrum holes. By analyzing the training performance, the GoogLeNet architecture, along with its hyperparameter configurations and training dataset is validated. We also demonstrated that our LB detector is resilient to the AWGN environment by analyzing the precision and recall curves, average precision and mean relative error (MRE) versus signal noise ratio (SNR).