Cognitive Network

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C C Tsimenidis - One of the best experts on this subject based on the ideXlab platform.

  • performance study of opportunistic scheduling in dual hop multi user underlay Cognitive Network
    Iet Communications, 2016
    Co-Authors: Jamal Ahmed Hussein, Salama S Ikki, S Boussakta, C C Tsimenidis
    Abstract:

    In this study, the authors investigate the performance of opportunistic scheduling for the dual-hop amplify-and-forward multi-user Cognitive relaying Network. Expressions are derived for the cumulative distribution function (CDF) and probability density function of the equivalent signal-to-noise ratio (SNR). From the derived CDF, the outage performance of the Cognitive Network is investigated. Then, an expression for average error probability is derived. Furthermore, simple and generic asymptotic expressions for the outage and error probabilities are obtained and discussed. In addition, a closed-form expression for the system's ergodic capacity is derived. Their asymptotic results show that opportunistic scheduling has no impact on diversity gain. It is confirmed that the array gain determines the SNR advantage of opportunistic scheduling over the single-user scenario. Moreover, they study adaptive power allocation under the total transmit power constraint in order to minimise the average error probability. As expected, the results show that optimum power allocation improves system performance compared with uniform power allocation. Finally, numerical results and Monte Carlo simulations are also provided to support the correctness of the analytical calculations.

  • Performance Analysis of Opportunistic Scheduling in Dual-Hop Multiuser Underlay Cognitive Network in the Presence of Cochannel Interference
    IEEE Transactions on Vehicular Technology, 2016
    Co-Authors: Jamal Ahmed Hussein, Salama S Ikki, S Boussakta, C C Tsimenidis
    Abstract:

    In this paper, the performance of a dual-hop multiuser underlay Cognitive Network is thoroughly investigated by using a decode-and-forward (DF) protocol at the relay node and employing opportunistic scheduling at the destination users. A practical scenario where cochannel interference signals are present in the system is considered for the investigation. Considering that transmissions are performed over nonidentical Rayleigh fading channels, first, the exact signal-to-interference-plus-noise ratio (SINR) of the Network is formulated. Then, the exact equivalent cumulative distribution function (cdf) and the outage probability of the system SINR are derived. An efficient tight approximation is proposed for the per-hop cdfs, and based on this, the closed-form expressions for the error probability and the ergodic capacity are derived. Furthermore, an asymptotic expression for the cdf of the instantaneous SINR is derived, and a simple and general asymptotic expression for the error probability is presented and discussed. Moreover, adaptive power allocation under the total-transmit-power constraint is studied to minimize the asymptotic average error probability. As expected, the results show that optimum power allocation improves the system performance compared with uniform power allocation. Finally, the theoretical analysis is validated by presenting various numerical results and Monte Carlo simulations.

  • performance study of the dual hop underlay Cognitive Network in the presence of co channel interference
    Vehicular Technology Conference, 2015
    Co-Authors: Jamal Ahmed Hussein, Salama S Ikki, S Boussakta, C C Tsimenidis
    Abstract:

    Cognitive radio allows secondary users to use the same existing frequency spectrum band as primary users. This co-existence has several impacts on the whole Network. This has motivated us to study the performance of a more practical dualhop underlay Cognitive Network, by considering the interference power constraint, the primary transceiver and the co-channel interference (CCI).We start by determining the equivalent signalto- interference-plus-noise ratio (SINR) of the secondary Network, then, we derive the cumulative distribution function (CDF) of the equivalent SINR. Using the derived CDF, system outage probability has been assessed. Furthermore, an approximate expression for the system average error probability has been derived. From the results it can be observed that besides the impact of the interference power constraint, the presence of the primary transmitter and the CCI will severely reduce the system performance especially when the CCI linearly increases with the secondary transmit power. Finally, numerical results and Monte Carlo simulations are also provided to sustain the correctness of the analytical derivations.

  • VTC Spring - Performance Study of the Dual-Hop Underlay Cognitive Network in the Presence of Co-Channel Interference
    2015 IEEE 81st Vehicular Technology Conference (VTC Spring), 2015
    Co-Authors: Jamal Ahmed Hussein, Salama S Ikki, S Boussakta, C C Tsimenidis
    Abstract:

    Cognitive radio allows secondary users to use the same existing frequency spectrum band as primary users. This co-existence has several impacts on the whole Network. This has motivated us to study the performance of a more practical dualhop underlay Cognitive Network, by considering the interference power constraint, the primary transceiver and the co-channel interference (CCI).We start by determining the equivalent signalto- interference-plus-noise ratio (SINR) of the secondary Network, then, we derive the cumulative distribution function (CDF) of the equivalent SINR. Using the derived CDF, system outage probability has been assessed. Furthermore, an approximate expression for the system average error probability has been derived. From the results it can be observed that besides the impact of the interference power constraint, the presence of the primary transmitter and the CCI will severely reduce the system performance especially when the CCI linearly increases with the secondary transmit power. Finally, numerical results and Monte Carlo simulations are also provided to sustain the correctness of the analytical derivations.

Juntao Chen - One of the best experts on this subject based on the ideXlab platform.

  • Interdependent Strategic Security Risk Management With Bounded Rationality in the Internet of Things
    IEEE Transactions on Information Forensics and Security, 2019
    Co-Authors: Juntao Chen
    Abstract:

    With the increasing connectivity enabled by the Internet of Things (IoT), security becomes a critical concern, and users should invest to secure their IoT applications. Due to the massive devices in the IoT Network, users cannot be aware of the security policies taken by all its connected neighbors. Instead, a user makes security decisions based on the cyber risks that he perceives by observing a selected number of nodes. To this end, we propose a model which incorporates the limited attention or bounded rationality nature of players in the IoT. Specifically, each individual builds a sparse Cognitive Network of nodes to respond to. Based on this simplified Cognitive Network representation, each user then determines his security management policy by minimizing his own real-world security cost. The bounded rational decision-makings of players and their Cognitive Network formations are interdependent and thus should be addressed in a holistic manner. We establish a games-in-games framework and propose a Gestalt Nash equilibrium (GNE) solution concept to characterize the decisions of agents and quantify their risk of bounded perception due to the limited attention. In addition, we design a proximal-based iterative algorithm to compute the GNE. With case studies of smart communities, the designed algorithm can successfully identify the critical users whose decisions need to be taken into account by the other users during the security management.

  • Interdependent Strategic Security Risk Management with Bounded Rationality in the Internet of Things.
    IEEE Transactions on Information Forensics and Security, 2019
    Co-Authors: Juntao Chen, Quanyan Zhu
    Abstract:

    With the increasing connectivity enabled by the Internet of Things (IoT), security becomes a critical concern, and the users should invest to secure their IoT applications. Due to the massive devices in the IoT Network, users cannot be aware of the security policies taken by all its connected neighbors. Instead, a user makes security decisions based on the cyber risks he perceives by observing a selected number of nodes. To this end, we propose a model which incorporates the limited attention or bounded rationality nature of players in the IoT. Specifically, each individual builds a sparse Cognitive Network of nodes to respond to. Based on this simplified Cognitive Network representation, each user then determines his security management policy by minimizing his own real-world security cost. The bounded rational decision-makings of players and their Cognitive Network formations are interdependent and thus should be addressed in a holistic manner. We establish a games-in-games framework and propose a Gestalt Nash equilibrium (GNE) solution concept to characterize the decisions of agents, and quantify their risk of bounded perception due to the limited attention. In addition, we design a proximal-based iterative algorithm to compute the GNE. With case studies of smart communities, the designed algorithm can successfully identify the critical users whose decisions need to be taken into account by the other users during the security management.

Jamal Ahmed Hussein - One of the best experts on this subject based on the ideXlab platform.

  • performance study of opportunistic scheduling in dual hop multi user underlay Cognitive Network
    Iet Communications, 2016
    Co-Authors: Jamal Ahmed Hussein, Salama S Ikki, S Boussakta, C C Tsimenidis
    Abstract:

    In this study, the authors investigate the performance of opportunistic scheduling for the dual-hop amplify-and-forward multi-user Cognitive relaying Network. Expressions are derived for the cumulative distribution function (CDF) and probability density function of the equivalent signal-to-noise ratio (SNR). From the derived CDF, the outage performance of the Cognitive Network is investigated. Then, an expression for average error probability is derived. Furthermore, simple and generic asymptotic expressions for the outage and error probabilities are obtained and discussed. In addition, a closed-form expression for the system's ergodic capacity is derived. Their asymptotic results show that opportunistic scheduling has no impact on diversity gain. It is confirmed that the array gain determines the SNR advantage of opportunistic scheduling over the single-user scenario. Moreover, they study adaptive power allocation under the total transmit power constraint in order to minimise the average error probability. As expected, the results show that optimum power allocation improves system performance compared with uniform power allocation. Finally, numerical results and Monte Carlo simulations are also provided to support the correctness of the analytical calculations.

  • Performance Analysis of Opportunistic Scheduling in Dual-Hop Multiuser Underlay Cognitive Network in the Presence of Cochannel Interference
    IEEE Transactions on Vehicular Technology, 2016
    Co-Authors: Jamal Ahmed Hussein, Salama S Ikki, S Boussakta, C C Tsimenidis
    Abstract:

    In this paper, the performance of a dual-hop multiuser underlay Cognitive Network is thoroughly investigated by using a decode-and-forward (DF) protocol at the relay node and employing opportunistic scheduling at the destination users. A practical scenario where cochannel interference signals are present in the system is considered for the investigation. Considering that transmissions are performed over nonidentical Rayleigh fading channels, first, the exact signal-to-interference-plus-noise ratio (SINR) of the Network is formulated. Then, the exact equivalent cumulative distribution function (cdf) and the outage probability of the system SINR are derived. An efficient tight approximation is proposed for the per-hop cdfs, and based on this, the closed-form expressions for the error probability and the ergodic capacity are derived. Furthermore, an asymptotic expression for the cdf of the instantaneous SINR is derived, and a simple and general asymptotic expression for the error probability is presented and discussed. Moreover, adaptive power allocation under the total-transmit-power constraint is studied to minimize the asymptotic average error probability. As expected, the results show that optimum power allocation improves the system performance compared with uniform power allocation. Finally, the theoretical analysis is validated by presenting various numerical results and Monte Carlo simulations.

  • performance study of the dual hop underlay Cognitive Network in the presence of co channel interference
    Vehicular Technology Conference, 2015
    Co-Authors: Jamal Ahmed Hussein, Salama S Ikki, S Boussakta, C C Tsimenidis
    Abstract:

    Cognitive radio allows secondary users to use the same existing frequency spectrum band as primary users. This co-existence has several impacts on the whole Network. This has motivated us to study the performance of a more practical dualhop underlay Cognitive Network, by considering the interference power constraint, the primary transceiver and the co-channel interference (CCI).We start by determining the equivalent signalto- interference-plus-noise ratio (SINR) of the secondary Network, then, we derive the cumulative distribution function (CDF) of the equivalent SINR. Using the derived CDF, system outage probability has been assessed. Furthermore, an approximate expression for the system average error probability has been derived. From the results it can be observed that besides the impact of the interference power constraint, the presence of the primary transmitter and the CCI will severely reduce the system performance especially when the CCI linearly increases with the secondary transmit power. Finally, numerical results and Monte Carlo simulations are also provided to sustain the correctness of the analytical derivations.

  • VTC Spring - Performance Study of the Dual-Hop Underlay Cognitive Network in the Presence of Co-Channel Interference
    2015 IEEE 81st Vehicular Technology Conference (VTC Spring), 2015
    Co-Authors: Jamal Ahmed Hussein, Salama S Ikki, S Boussakta, C C Tsimenidis
    Abstract:

    Cognitive radio allows secondary users to use the same existing frequency spectrum band as primary users. This co-existence has several impacts on the whole Network. This has motivated us to study the performance of a more practical dualhop underlay Cognitive Network, by considering the interference power constraint, the primary transceiver and the co-channel interference (CCI).We start by determining the equivalent signalto- interference-plus-noise ratio (SINR) of the secondary Network, then, we derive the cumulative distribution function (CDF) of the equivalent SINR. Using the derived CDF, system outage probability has been assessed. Furthermore, an approximate expression for the system average error probability has been derived. From the results it can be observed that besides the impact of the interference power constraint, the presence of the primary transmitter and the CCI will severely reduce the system performance especially when the CCI linearly increases with the secondary transmit power. Finally, numerical results and Monte Carlo simulations are also provided to sustain the correctness of the analytical derivations.

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

  • performance study of opportunistic scheduling in dual hop multi user underlay Cognitive Network
    Iet Communications, 2016
    Co-Authors: Jamal Ahmed Hussein, Salama S Ikki, S Boussakta, C C Tsimenidis
    Abstract:

    In this study, the authors investigate the performance of opportunistic scheduling for the dual-hop amplify-and-forward multi-user Cognitive relaying Network. Expressions are derived for the cumulative distribution function (CDF) and probability density function of the equivalent signal-to-noise ratio (SNR). From the derived CDF, the outage performance of the Cognitive Network is investigated. Then, an expression for average error probability is derived. Furthermore, simple and generic asymptotic expressions for the outage and error probabilities are obtained and discussed. In addition, a closed-form expression for the system's ergodic capacity is derived. Their asymptotic results show that opportunistic scheduling has no impact on diversity gain. It is confirmed that the array gain determines the SNR advantage of opportunistic scheduling over the single-user scenario. Moreover, they study adaptive power allocation under the total transmit power constraint in order to minimise the average error probability. As expected, the results show that optimum power allocation improves system performance compared with uniform power allocation. Finally, numerical results and Monte Carlo simulations are also provided to support the correctness of the analytical calculations.

  • Performance Analysis of Opportunistic Scheduling in Dual-Hop Multiuser Underlay Cognitive Network in the Presence of Cochannel Interference
    IEEE Transactions on Vehicular Technology, 2016
    Co-Authors: Jamal Ahmed Hussein, Salama S Ikki, S Boussakta, C C Tsimenidis
    Abstract:

    In this paper, the performance of a dual-hop multiuser underlay Cognitive Network is thoroughly investigated by using a decode-and-forward (DF) protocol at the relay node and employing opportunistic scheduling at the destination users. A practical scenario where cochannel interference signals are present in the system is considered for the investigation. Considering that transmissions are performed over nonidentical Rayleigh fading channels, first, the exact signal-to-interference-plus-noise ratio (SINR) of the Network is formulated. Then, the exact equivalent cumulative distribution function (cdf) and the outage probability of the system SINR are derived. An efficient tight approximation is proposed for the per-hop cdfs, and based on this, the closed-form expressions for the error probability and the ergodic capacity are derived. Furthermore, an asymptotic expression for the cdf of the instantaneous SINR is derived, and a simple and general asymptotic expression for the error probability is presented and discussed. Moreover, adaptive power allocation under the total-transmit-power constraint is studied to minimize the asymptotic average error probability. As expected, the results show that optimum power allocation improves the system performance compared with uniform power allocation. Finally, the theoretical analysis is validated by presenting various numerical results and Monte Carlo simulations.

  • performance study of the dual hop underlay Cognitive Network in the presence of co channel interference
    Vehicular Technology Conference, 2015
    Co-Authors: Jamal Ahmed Hussein, Salama S Ikki, S Boussakta, C C Tsimenidis
    Abstract:

    Cognitive radio allows secondary users to use the same existing frequency spectrum band as primary users. This co-existence has several impacts on the whole Network. This has motivated us to study the performance of a more practical dualhop underlay Cognitive Network, by considering the interference power constraint, the primary transceiver and the co-channel interference (CCI).We start by determining the equivalent signalto- interference-plus-noise ratio (SINR) of the secondary Network, then, we derive the cumulative distribution function (CDF) of the equivalent SINR. Using the derived CDF, system outage probability has been assessed. Furthermore, an approximate expression for the system average error probability has been derived. From the results it can be observed that besides the impact of the interference power constraint, the presence of the primary transmitter and the CCI will severely reduce the system performance especially when the CCI linearly increases with the secondary transmit power. Finally, numerical results and Monte Carlo simulations are also provided to sustain the correctness of the analytical derivations.

  • VTC Spring - Performance Study of the Dual-Hop Underlay Cognitive Network in the Presence of Co-Channel Interference
    2015 IEEE 81st Vehicular Technology Conference (VTC Spring), 2015
    Co-Authors: Jamal Ahmed Hussein, Salama S Ikki, S Boussakta, C C Tsimenidis
    Abstract:

    Cognitive radio allows secondary users to use the same existing frequency spectrum band as primary users. This co-existence has several impacts on the whole Network. This has motivated us to study the performance of a more practical dualhop underlay Cognitive Network, by considering the interference power constraint, the primary transceiver and the co-channel interference (CCI).We start by determining the equivalent signalto- interference-plus-noise ratio (SINR) of the secondary Network, then, we derive the cumulative distribution function (CDF) of the equivalent SINR. Using the derived CDF, system outage probability has been assessed. Furthermore, an approximate expression for the system average error probability has been derived. From the results it can be observed that besides the impact of the interference power constraint, the presence of the primary transmitter and the CCI will severely reduce the system performance especially when the CCI linearly increases with the secondary transmit power. Finally, numerical results and Monte Carlo simulations are also provided to sustain the correctness of the analytical derivations.

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

  • performance study of opportunistic scheduling in dual hop multi user underlay Cognitive Network
    Iet Communications, 2016
    Co-Authors: Jamal Ahmed Hussein, Salama S Ikki, S Boussakta, C C Tsimenidis
    Abstract:

    In this study, the authors investigate the performance of opportunistic scheduling for the dual-hop amplify-and-forward multi-user Cognitive relaying Network. Expressions are derived for the cumulative distribution function (CDF) and probability density function of the equivalent signal-to-noise ratio (SNR). From the derived CDF, the outage performance of the Cognitive Network is investigated. Then, an expression for average error probability is derived. Furthermore, simple and generic asymptotic expressions for the outage and error probabilities are obtained and discussed. In addition, a closed-form expression for the system's ergodic capacity is derived. Their asymptotic results show that opportunistic scheduling has no impact on diversity gain. It is confirmed that the array gain determines the SNR advantage of opportunistic scheduling over the single-user scenario. Moreover, they study adaptive power allocation under the total transmit power constraint in order to minimise the average error probability. As expected, the results show that optimum power allocation improves system performance compared with uniform power allocation. Finally, numerical results and Monte Carlo simulations are also provided to support the correctness of the analytical calculations.

  • Performance Analysis of Opportunistic Scheduling in Dual-Hop Multiuser Underlay Cognitive Network in the Presence of Cochannel Interference
    IEEE Transactions on Vehicular Technology, 2016
    Co-Authors: Jamal Ahmed Hussein, Salama S Ikki, S Boussakta, C C Tsimenidis
    Abstract:

    In this paper, the performance of a dual-hop multiuser underlay Cognitive Network is thoroughly investigated by using a decode-and-forward (DF) protocol at the relay node and employing opportunistic scheduling at the destination users. A practical scenario where cochannel interference signals are present in the system is considered for the investigation. Considering that transmissions are performed over nonidentical Rayleigh fading channels, first, the exact signal-to-interference-plus-noise ratio (SINR) of the Network is formulated. Then, the exact equivalent cumulative distribution function (cdf) and the outage probability of the system SINR are derived. An efficient tight approximation is proposed for the per-hop cdfs, and based on this, the closed-form expressions for the error probability and the ergodic capacity are derived. Furthermore, an asymptotic expression for the cdf of the instantaneous SINR is derived, and a simple and general asymptotic expression for the error probability is presented and discussed. Moreover, adaptive power allocation under the total-transmit-power constraint is studied to minimize the asymptotic average error probability. As expected, the results show that optimum power allocation improves the system performance compared with uniform power allocation. Finally, the theoretical analysis is validated by presenting various numerical results and Monte Carlo simulations.

  • performance study of the dual hop underlay Cognitive Network in the presence of co channel interference
    Vehicular Technology Conference, 2015
    Co-Authors: Jamal Ahmed Hussein, Salama S Ikki, S Boussakta, C C Tsimenidis
    Abstract:

    Cognitive radio allows secondary users to use the same existing frequency spectrum band as primary users. This co-existence has several impacts on the whole Network. This has motivated us to study the performance of a more practical dualhop underlay Cognitive Network, by considering the interference power constraint, the primary transceiver and the co-channel interference (CCI).We start by determining the equivalent signalto- interference-plus-noise ratio (SINR) of the secondary Network, then, we derive the cumulative distribution function (CDF) of the equivalent SINR. Using the derived CDF, system outage probability has been assessed. Furthermore, an approximate expression for the system average error probability has been derived. From the results it can be observed that besides the impact of the interference power constraint, the presence of the primary transmitter and the CCI will severely reduce the system performance especially when the CCI linearly increases with the secondary transmit power. Finally, numerical results and Monte Carlo simulations are also provided to sustain the correctness of the analytical derivations.

  • VTC Spring - Performance Study of the Dual-Hop Underlay Cognitive Network in the Presence of Co-Channel Interference
    2015 IEEE 81st Vehicular Technology Conference (VTC Spring), 2015
    Co-Authors: Jamal Ahmed Hussein, Salama S Ikki, S Boussakta, C C Tsimenidis
    Abstract:

    Cognitive radio allows secondary users to use the same existing frequency spectrum band as primary users. This co-existence has several impacts on the whole Network. This has motivated us to study the performance of a more practical dualhop underlay Cognitive Network, by considering the interference power constraint, the primary transceiver and the co-channel interference (CCI).We start by determining the equivalent signalto- interference-plus-noise ratio (SINR) of the secondary Network, then, we derive the cumulative distribution function (CDF) of the equivalent SINR. Using the derived CDF, system outage probability has been assessed. Furthermore, an approximate expression for the system average error probability has been derived. From the results it can be observed that besides the impact of the interference power constraint, the presence of the primary transmitter and the CCI will severely reduce the system performance especially when the CCI linearly increases with the secondary transmit power. Finally, numerical results and Monte Carlo simulations are also provided to sustain the correctness of the analytical derivations.