The Experts below are selected from a list of 360 Experts worldwide ranked by ideXlab platform
Santi P. Maity - One of the best experts on this subject based on the ideXlab platform.
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on Residual Energy maximization in cooperative spectrum sensing with puea
IEEE Wireless Communications Letters, 2019Co-Authors: Avik Banerjee, Santi P. MaityAbstract:In this letter, the relative performance on Residual Energy (RE) obtained in power splitting and time switching mode of operation in Energy harvesting (EH) is analyzed for cooperative spectrum sensing in presence of primary user emulation attack (PUEA). Total RE is maximized under the constraints of target detection and false alarm probabilities of primary user (PU) along with the Energy causality constraint on each secondary user (SU). Simulation results show the effect of PU’s transmission probability and PUEA power on RE.
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On Residual Energy Maximization in Cognitive Relay Networks With Eavesdropping
IEEE Systems Journal, 2019Co-Authors: Avik Banerjee, Santi P. MaityAbstract:This paper addresses a Residual Energy maximization problem on a two-hop decode-and-forward relay-assisted cognitive radio network operating in a time-slotted mode in the presence of an eavesdropper. In the first time slot, spectrum sensing (SS) and Energy harvesting (EH) from the received signal of the primary user (PU) are done simultaneously by the secondary transmitter through power splitting mode. On the next time slot, the secondary transmitter either harvests Energy or transmits its own data to the relay node based on the SS decision result. The relay node subsequently either forwards this data or harvests Energy based on the activity followed by the secondary transmitter node. Considering both linear and EH models, an optimization nonlinear problem of Residual Energy maximization is explored under the constraints of sensing reliability of the PU, secondary outage probability, and secrecy outage probability. Closed-form expressions of the sensing time and secondary and relay transmit power are derived both in the presence and absence of an eavesdropper. The impact of eavesdropping on detection probability, false alarm probability, secondary outage probability, and Residual Energy are analyzed. Simulation results show that about $\sim$ 21.19% and $\sim$ 42.84% gain in total Residual Energy values are achieved compared to the existing works.
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on Residual Energy maximization in Energy harvesting cognitive radio network
Wireless Communications and Networking Conference, 2017Co-Authors: Avik Banerjee, Santi P. Maity, Subhabrata RoyAbstract:Recent advancement in wireless communications demands high data rate transmission at low power consumption. To this aim, the present work proposes an Energy harvesting based cognitive radio (CR) system operating in time slotted mode. Energy harvesting and spectrum sensing (SS) are done simultaneously by the CR user through power splitting mode. On the other hand, during the transmission time slot, the CR user either harvests Energy or transmits its own data based on SS decision result. An optimization problem is developed to maximize the Residual Energy under the constraints of sensing reliability of the PU and spectrum efficiency (SE) target rate of the CR. The concavity of the objective function is shown which ensures a global solution to the problem. Closed form expressions for the sensing time and CR transmit power are found and the results are validated by simulations.
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Residual Energy maximization in cooperative spectrum sensing with Energy harvesting
National Conference on Communications, 2017Co-Authors: Avik Banerjee, Santi P. MaityAbstract:This paper considers a cooperative spectrum sensing scheme for cognitive radio network that uses a power splitting mode for simultaneous sensing and harvesting of Energy. The objective is to maximize the Residual harvested Energy over the total Energy consumption in the sensing process. An optimization problem is formulated in terms of the number of secondary user (sensing) nodes, the number of samples required, amplifying gain for transmission of samples and power splitting factor under the constraints of detection and false alarm probabilities. The concavity of the constrained objective function is proved mathematically and the analytical solutions are verified through a large set of simulation results. Simulation result shows that 40% gain in Residual Energy is achieved over the existing work at detection and false alarm probabilities of 0.9 and 0.05, respectively.
Avik Banerjee - One of the best experts on this subject based on the ideXlab platform.
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on Residual Energy maximization in cooperative spectrum sensing with puea
IEEE Wireless Communications Letters, 2019Co-Authors: Avik Banerjee, Santi P. MaityAbstract:In this letter, the relative performance on Residual Energy (RE) obtained in power splitting and time switching mode of operation in Energy harvesting (EH) is analyzed for cooperative spectrum sensing in presence of primary user emulation attack (PUEA). Total RE is maximized under the constraints of target detection and false alarm probabilities of primary user (PU) along with the Energy causality constraint on each secondary user (SU). Simulation results show the effect of PU’s transmission probability and PUEA power on RE.
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On Residual Energy Maximization in Cognitive Relay Networks With Eavesdropping
IEEE Systems Journal, 2019Co-Authors: Avik Banerjee, Santi P. MaityAbstract:This paper addresses a Residual Energy maximization problem on a two-hop decode-and-forward relay-assisted cognitive radio network operating in a time-slotted mode in the presence of an eavesdropper. In the first time slot, spectrum sensing (SS) and Energy harvesting (EH) from the received signal of the primary user (PU) are done simultaneously by the secondary transmitter through power splitting mode. On the next time slot, the secondary transmitter either harvests Energy or transmits its own data to the relay node based on the SS decision result. The relay node subsequently either forwards this data or harvests Energy based on the activity followed by the secondary transmitter node. Considering both linear and EH models, an optimization nonlinear problem of Residual Energy maximization is explored under the constraints of sensing reliability of the PU, secondary outage probability, and secrecy outage probability. Closed-form expressions of the sensing time and secondary and relay transmit power are derived both in the presence and absence of an eavesdropper. The impact of eavesdropping on detection probability, false alarm probability, secondary outage probability, and Residual Energy are analyzed. Simulation results show that about $\sim$ 21.19% and $\sim$ 42.84% gain in total Residual Energy values are achieved compared to the existing works.
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on Residual Energy maximization in Energy harvesting cognitive radio network
Wireless Communications and Networking Conference, 2017Co-Authors: Avik Banerjee, Santi P. Maity, Subhabrata RoyAbstract:Recent advancement in wireless communications demands high data rate transmission at low power consumption. To this aim, the present work proposes an Energy harvesting based cognitive radio (CR) system operating in time slotted mode. Energy harvesting and spectrum sensing (SS) are done simultaneously by the CR user through power splitting mode. On the other hand, during the transmission time slot, the CR user either harvests Energy or transmits its own data based on SS decision result. An optimization problem is developed to maximize the Residual Energy under the constraints of sensing reliability of the PU and spectrum efficiency (SE) target rate of the CR. The concavity of the objective function is shown which ensures a global solution to the problem. Closed form expressions for the sensing time and CR transmit power are found and the results are validated by simulations.
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Residual Energy maximization in cooperative spectrum sensing with Energy harvesting
National Conference on Communications, 2017Co-Authors: Avik Banerjee, Santi P. MaityAbstract:This paper considers a cooperative spectrum sensing scheme for cognitive radio network that uses a power splitting mode for simultaneous sensing and harvesting of Energy. The objective is to maximize the Residual harvested Energy over the total Energy consumption in the sensing process. An optimization problem is formulated in terms of the number of secondary user (sensing) nodes, the number of samples required, amplifying gain for transmission of samples and power splitting factor under the constraints of detection and false alarm probabilities. The concavity of the constrained objective function is proved mathematically and the analytical solutions are verified through a large set of simulation results. Simulation result shows that 40% gain in Residual Energy is achieved over the existing work at detection and false alarm probabilities of 0.9 and 0.05, respectively.
J.c. Kasper - One of the best experts on this subject based on the ideXlab platform.
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kinetic scale spectral features of cross helicity and Residual Energy in the inner heliosphere
Astrophysical Journal Supplement Series, 2020Co-Authors: J.c. Kasper, A.w. Case, M L Stevens, C H K Chen, Daniel Vech, Kristopher G Klein, Jia Huang, Kelly E. KorreckAbstract:In this work, we present the first results from the flux angle (FA) operation mode of the Faraday Cup instrument on board the Parker Solar Probe (PSP). The FA mode allows rapid measurements of phase space density fluctuations close to the peak of the proton velocity distribution function with a cadence of 293 Hz. This approach provides an invaluable tool for understanding kinetic-scale turbulence in the solar wind and solar corona. We describe a technique to convert the phase space density fluctuations into vector velocity components and compute several turbulence parameters, such as spectral index, Residual Energy, and cross helicity during two intervals when the FA mode was used in PSP's first encounter at 0.174 au distance from the Sun.
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kinetic scale spectral features of cross helicity and Residual Energy in the inner heliosphere
arXiv: Space Physics, 2019Co-Authors: J.c. Kasper, A.w. Case, M L Stevens, C H K Chen, Daniel Vech, Kristopher G Klein, Jia Huang, Kelly E. KorreckAbstract:In this Paper, we present the first results from the Flux Angle operation mode of the Faraday Cup instrument onboard Parker Solar Probe. The Flux Angle mode allows rapid measurements of phase space density fluctuations close to the peak of the proton velocity distribution function with a cadence of 293 Hz. This approach provides an invaluable tool for understanding kinetic scale turbulence in the solar wind and solar corona. We describe a technique to convert the phase space density fluctuations into vector velocity components and compute several turbulence parameters such as spectral index, Residual Energy and cross helicity during two intervals the Flux Angle mode was used in Parker Solar Probe's first encounter at 0.174 AU distance from the Sun.
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identification of magnetic flux ropes from parker solar probe observations during the first encounter
arXiv: Space Physics, 2019Co-Authors: L.-l. Zhao, G. P. Zank, J.c. Kasper, S.d. Bale, Kelly E. Korreck, A.w. Case, L Adhikari, M L Stevens, J.w. BonnellAbstract:The Parker Solar Probe (PSP) observed an interplanetary coronal mass ejection (ICME) event during its first orbit around the sun, among many other events. This event is analyzed by applying a wavelet analysis technique to obtain the reduced magnetic helicity, cross helicity, and Residual Energy, the first two of which are magnetohydrodynamics (MHD) invariants. Our results show that the ICME, as a large scale magnetic flux rope, possesses high magnetic helicity, very low cross helicity, and highly negative Residual Energy, thus pointing to a magnetic fluctuation dominated structure. Using the same technique, we also search for small-scale coherent magnetic flux rope structures during the period from 2018/10/22--2018/11/21, which are intrinsic to quasi-2D MHD turbulence in the solar wind. Multiple structures with duration between 8 and 300 minutes are identified from PSP in-situ spacecraft measurements. The location and scales of these structures are characterized by wavelet spectrograms of the normalized reduced magnetic helicity, normalized cross helicity and normalized Residual Energy. Transport theory suggests that these small-scale magnetic flux ropes may contribute to the acceleration of charged particles through magnetic reconnection processes, and the dissipation of these structures may be important for understanding the coronal heating processes.
Daniel Vech - One of the best experts on this subject based on the ideXlab platform.
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kinetic scale spectral features of cross helicity and Residual Energy in the inner heliosphere
Astrophysical Journal Supplement Series, 2020Co-Authors: J.c. Kasper, A.w. Case, M L Stevens, C H K Chen, Daniel Vech, Kristopher G Klein, Jia Huang, Kelly E. KorreckAbstract:In this work, we present the first results from the flux angle (FA) operation mode of the Faraday Cup instrument on board the Parker Solar Probe (PSP). The FA mode allows rapid measurements of phase space density fluctuations close to the peak of the proton velocity distribution function with a cadence of 293 Hz. This approach provides an invaluable tool for understanding kinetic-scale turbulence in the solar wind and solar corona. We describe a technique to convert the phase space density fluctuations into vector velocity components and compute several turbulence parameters, such as spectral index, Residual Energy, and cross helicity during two intervals when the FA mode was used in PSP's first encounter at 0.174 au distance from the Sun.
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kinetic scale spectral features of cross helicity and Residual Energy in the inner heliosphere
arXiv: Space Physics, 2019Co-Authors: J.c. Kasper, A.w. Case, M L Stevens, C H K Chen, Daniel Vech, Kristopher G Klein, Jia Huang, Kelly E. KorreckAbstract:In this Paper, we present the first results from the Flux Angle operation mode of the Faraday Cup instrument onboard Parker Solar Probe. The Flux Angle mode allows rapid measurements of phase space density fluctuations close to the peak of the proton velocity distribution function with a cadence of 293 Hz. This approach provides an invaluable tool for understanding kinetic scale turbulence in the solar wind and solar corona. We describe a technique to convert the phase space density fluctuations into vector velocity components and compute several turbulence parameters such as spectral index, Residual Energy and cross helicity during two intervals the Flux Angle mode was used in Parker Solar Probe's first encounter at 0.174 AU distance from the Sun.
Jianmin Chen - One of the best experts on this subject based on the ideXlab platform.
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dynamic spectrum access with packet size adaptation and Residual Energy balancing for Energy constrained cognitive radio sensor networks
Journal of Network and Computer Applications, 2014Co-Authors: Dexiang Wang, Janise Mcnair, Jianmin ChenAbstract:Abstract We demonstrate an improvement in Energy efficiency and network lifetime for the cluster-based multi-channel cognitive radio sensor network (CRSN). The improvement roots from two techniques proposed in dynamic spectrum access. The first technique exploits packet size adaptation: varying the packet size to adapt the transmission over the state-varying channel. This is to efficiently utilize the battery of sensors by having the most appropriately sized packets successfully transmitted, in accordance with the instantaneous channel conditions. The second technique focuses on channel assignment with awareness of the Residual Energy of sensors, such that sensors can spend their Energy in a balanced way. This helps to prolong the network lifetime, compared to the random channel pairing approach. As all those techniques rely on the estimates of channel states and their performance is tied with the estimation accuracy, we theoretically derive a polynomial-time resolvable expression for the maximum-likelihood (ML) estimator PMF function. In light of this expression, the impact of channel estimation accuracy on network performance is thereby illustrated.
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Residual Energy aware channel assignment in cognitive radio sensor networks
Wireless Communications and Networking Conference, 2011Co-Authors: Xiaoyuan Li, Dexiang Wang, Janise Mcnair, Jianmin ChenAbstract:We investigate the channel assignment problem in a cluster-based multi-channel cognitive radio sensor network in this paper. Due to the inherent power and resource constraints of sensor networks, Energy efficiency is the primary concern for network design. An R-coefficient is developed to estimate the predicted Residual Energy using sensor information (current Residual Energy and expected Energy consumption) and channel conditions (primary user behavior). We examine three channel assignment approaches: Random pairing, Greedy channel search and Optimization-based channel assignment. The last two exploit R-coefficient to obtain a Residual Energy aware channel assignment solution. Simulation results show that R-coefficient-based approaches lead to better performance in terms of Energy consumption and Residual Energy balance. Optimization-based channel assignment outperforms the other two approaches with respect to network lifetime.
