Wireless Fidelity

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The Experts below are selected from a list of 2637 Experts worldwide ranked by ideXlab platform

Donald R. Ucci - One of the best experts on this subject based on the ideXlab platform.

  • microwave oven signal modelling
    Wireless Communications and Networking Conference, 2008
    Co-Authors: Tanim Taher, J.l. Locicero, M J Misurac, Donald R. Ucci
    Abstract:

    The microwave oven (MWO) is a commonly available appliance that does not transmit data but still radiates signals in the unlicensed 2.4 GHz Industrial, Scientific and Medical (ISM) band. The MWO thus acts as an unintentional interferer for IEEE 802.11 Wireless Fidelity (Wi-Fi) communication signals. An analytic model of the MWO signal is developed and studied in this paper. The model's efficacy is studied via simulation and experimental emulation.

  • WCNC - Microwave Oven Signal Modelling
    2008 IEEE Wireless Communications and Networking Conference, 2008
    Co-Authors: Tanim Taher, J.l. Locicero, M J Misurac, Donald R. Ucci
    Abstract:

    The microwave oven (MWO) is a commonly available appliance that does not transmit data but still radiates signals in the unlicensed 2.4 GHz Industrial, Scientific and Medical (ISM) band. The MWO thus acts as an unintentional interferer for IEEE 802.11 Wireless Fidelity (Wi-Fi) communication signals. An analytic model of the MWO signal is developed and studied in this paper. The model's efficacy is studied via simulation and experimental emulation.

  • Multi-element adaptive arrays for interference mitigation of multiple barker/CCK signals in 802.11b WLANs
    2007 IEEE Sarnoff Symposium, 2007
    Co-Authors: A.z. Al-banna, J.l. Locicero, Donald R. Ucci
    Abstract:

    We analyze interference in the unlicensed ISM Wireless band for IEEE 802.11 barker-code spread and Complementary Code Keying spread Wireless Fidelity signals and contrast the results to that of narrowband interferers. Multi-element adaptive antennas with tapped-delay-lines are used to mitigate multiple interferers. It is shown that the number of delay line taps required to successfully mitigate the effect of multiple interferers increases as the number of interferers and array elements increases.

  • 11 Mbps CCK - Modulated 802.11b Wi-Fi: Spectral Signature and Interference
    2006 IEEE International Conference on Electro Information Technology, 2006
    Co-Authors: Ayham Al-banna, J.l. Locicero, Donald R. Ucci
    Abstract:

    The spectral signature of IEEE 802.11b 11 Mbps Complementary Code Keying (CCK) Wireless Fidelity (Wi-Fi) signals is identified through an exact derivation of its Power Spectral Density (PSD). This theoretical result was verified by computer simulation. The spectral signature of the 11 Mbps CCK-spread signal is compared with that of the 5.5 Mbps CCk-spread signal, as well as the Barker-spread signals. The adjacent channel interference power and interference temperature caused by different Wi-Fi interferers are calculated and presented.

  • LCN - Adaptive Antennas for Interference Mitigation of Barker/CCK Spread Wi-Fi Signals
    Proceedings. 2006 31st IEEE Conference on Local Computer Networks, 2006
    Co-Authors: A.z. Al-banna, J.l. Locicero, Donald R. Ucci
    Abstract:

    A study of interference caused by adjacent IEEE 802.11 Barker-code spread and Complementary Code Keying spread Wireless Fidelity signals used in Wireless Local Area Networks is presented. The interference resulted from these signals is thoroughly analyzed and compared to that caused by bandlimited flat spectral interferers as well as narrow band interferers. Adaptive antennas employing tapped-delay-lines are used to mitigate the interference effect from these signals. The optimal values for the delay-line parameters to restore the performance at minimum cost are found.

J.l. Locicero - One of the best experts on this subject based on the ideXlab platform.

  • microwave oven signal modelling
    Wireless Communications and Networking Conference, 2008
    Co-Authors: Tanim Taher, J.l. Locicero, M J Misurac, Donald R. Ucci
    Abstract:

    The microwave oven (MWO) is a commonly available appliance that does not transmit data but still radiates signals in the unlicensed 2.4 GHz Industrial, Scientific and Medical (ISM) band. The MWO thus acts as an unintentional interferer for IEEE 802.11 Wireless Fidelity (Wi-Fi) communication signals. An analytic model of the MWO signal is developed and studied in this paper. The model's efficacy is studied via simulation and experimental emulation.

  • WCNC - Microwave Oven Signal Modelling
    2008 IEEE Wireless Communications and Networking Conference, 2008
    Co-Authors: Tanim Taher, J.l. Locicero, M J Misurac, Donald R. Ucci
    Abstract:

    The microwave oven (MWO) is a commonly available appliance that does not transmit data but still radiates signals in the unlicensed 2.4 GHz Industrial, Scientific and Medical (ISM) band. The MWO thus acts as an unintentional interferer for IEEE 802.11 Wireless Fidelity (Wi-Fi) communication signals. An analytic model of the MWO signal is developed and studied in this paper. The model's efficacy is studied via simulation and experimental emulation.

  • Multi-element adaptive arrays for interference mitigation of multiple barker/CCK signals in 802.11b WLANs
    2007 IEEE Sarnoff Symposium, 2007
    Co-Authors: A.z. Al-banna, J.l. Locicero, Donald R. Ucci
    Abstract:

    We analyze interference in the unlicensed ISM Wireless band for IEEE 802.11 barker-code spread and Complementary Code Keying spread Wireless Fidelity signals and contrast the results to that of narrowband interferers. Multi-element adaptive antennas with tapped-delay-lines are used to mitigate multiple interferers. It is shown that the number of delay line taps required to successfully mitigate the effect of multiple interferers increases as the number of interferers and array elements increases.

  • 11 Mbps CCK - Modulated 802.11b Wi-Fi: Spectral Signature and Interference
    2006 IEEE International Conference on Electro Information Technology, 2006
    Co-Authors: Ayham Al-banna, J.l. Locicero, Donald R. Ucci
    Abstract:

    The spectral signature of IEEE 802.11b 11 Mbps Complementary Code Keying (CCK) Wireless Fidelity (Wi-Fi) signals is identified through an exact derivation of its Power Spectral Density (PSD). This theoretical result was verified by computer simulation. The spectral signature of the 11 Mbps CCK-spread signal is compared with that of the 5.5 Mbps CCk-spread signal, as well as the Barker-spread signals. The adjacent channel interference power and interference temperature caused by different Wi-Fi interferers are calculated and presented.

  • LCN - Adaptive Antennas for Interference Mitigation of Barker/CCK Spread Wi-Fi Signals
    Proceedings. 2006 31st IEEE Conference on Local Computer Networks, 2006
    Co-Authors: A.z. Al-banna, J.l. Locicero, Donald R. Ucci
    Abstract:

    A study of interference caused by adjacent IEEE 802.11 Barker-code spread and Complementary Code Keying spread Wireless Fidelity signals used in Wireless Local Area Networks is presented. The interference resulted from these signals is thoroughly analyzed and compared to that caused by bandlimited flat spectral interferers as well as narrow band interferers. Adaptive antennas employing tapped-delay-lines are used to mitigate the interference effect from these signals. The optimal values for the delay-line parameters to restore the performance at minimum cost are found.

Yu Lib - One of the best experts on this subject based on the ideXlab platform.

  • Schedule Strategy for Public Transport Vehicle Data Transmission Based on WIFI
    Computer Engineering, 2011
    Co-Authors: Yu Lib
    Abstract:

    In order to reduce the cost of power and the time of transmission in the public transport vehicle Wireless data transmission,this paper proposes a schedule strategy based on Wireless Fidelity(WIFI).The strategy models a solution by applying genetic algorithm to obtain a public transport vehicle sequence which satisfies the schedule process.Simulation results demonstrate that compared with the traditional First Come First Served(FCFS) policy,the proposed schedule strategy performs much better by saving 16.8% power cost and reducing 38% high priority data transmission time.

S. Sridhar - One of the best experts on this subject based on the ideXlab platform.

  • Implementation of Smartphone Activated Doorlock System Using Wireless Fidelity [WiFi] and CCTV Camera
    Wireless Communication, 2018
    Co-Authors: R. Sabitha, S. Sridhar
    Abstract:

    WiFi system plays a major role in this smart world now-a-days. As internet connects a wide range of people together, here WiFi is used to share those networks with each other. Smartphone with WiFi involves in many aspects of monitoring. In this paper, the Smartphone activated door lock system is implemented using Wireless Fidelity technology and CCTV camera. Now-a-days the door lock system is used to secure our private places like home, apartments etc.. The CCTV camera will be set in front of the home. If any person arrives, the camera will capture the photo of the visitor. Immediately the camera transfers it Wirelessly to the Smartphone that has been connected to the camera via WiFi. So now the owner of the home can check the photo that has been received through WiFi and if he/she is willing to open the door, he/she can press the push button specified in the Smartphone, so that door will open automatically. As the distance between the owner and the specific place (home, apartment etc..) increases, the opening time of the door also increases as well.

Tanim Taher - One of the best experts on this subject based on the ideXlab platform.

  • microwave oven signal modelling
    Wireless Communications and Networking Conference, 2008
    Co-Authors: Tanim Taher, J.l. Locicero, M J Misurac, Donald R. Ucci
    Abstract:

    The microwave oven (MWO) is a commonly available appliance that does not transmit data but still radiates signals in the unlicensed 2.4 GHz Industrial, Scientific and Medical (ISM) band. The MWO thus acts as an unintentional interferer for IEEE 802.11 Wireless Fidelity (Wi-Fi) communication signals. An analytic model of the MWO signal is developed and studied in this paper. The model's efficacy is studied via simulation and experimental emulation.

  • WCNC - Microwave Oven Signal Modelling
    2008 IEEE Wireless Communications and Networking Conference, 2008
    Co-Authors: Tanim Taher, J.l. Locicero, M J Misurac, Donald R. Ucci
    Abstract:

    The microwave oven (MWO) is a commonly available appliance that does not transmit data but still radiates signals in the unlicensed 2.4 GHz Industrial, Scientific and Medical (ISM) band. The MWO thus acts as an unintentional interferer for IEEE 802.11 Wireless Fidelity (Wi-Fi) communication signals. An analytic model of the MWO signal is developed and studied in this paper. The model's efficacy is studied via simulation and experimental emulation.

  • Characterization of an Unintentional Wi-Fi Interference Device - the Residential Microwave Oven
    MILCOM 2006, 2006
    Co-Authors: Tanim Taher, Donald R. Ucci, A.z. Al-banna, J.l. Locicero
    Abstract:

    Some devices not used for data communications radiate in the 2.4 GHz Wireless-Fidelity (Wi-Fi) band, thus causing unintentional interference that degrades the performance of IEEE 802.11 Wireless systems. An analytical model for radio emissions from one of the most common unintentional interferers, the residential microwave oven, is developed from laboratory measurements. Simulation of the analytical model results in a power spectral density and spectrogram that are in good agreement with experimental data. An interference mitigation technique is proposed for the microwave oven emission.