Optimal energy harvesting time and power allocation policy in CRN under security constraints from eavesdroppers

Tran, Hung; Quach, Truong Xuan; Tran, Ha-Vu; Uhlemann, Elisabeth

doi:10.1109/pimrc.2017.8292734

Cited by 6 publications

(6 citation statements)

References 16 publications

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“…This increases the transmit power of the relay according to (27), which can better compensate for more interference from the primary transmitter due to larger value of / 0 , ultimately reducing the SOP. Figure 3 demonstrates the SOP versus the required outage probability of PUs, , for / 0 = 15 dB, = 0.5, = 0.8, = 0.6, 1 = 0.2 bps/Hz, 2 = 0.3 bps/Hz, 3 decreases the SOP. This is because such an increase allows PUs to tolerate more interference from SUs.…”

Section: Resultsmentioning

confidence: 99%

“…Cognitive radios operate on three (overlay, underlay, and interweave) mechanisms amidst which the underlay one is more preferable owing to its low system design complexity [2]. According to the underlay mechanism, the transmit power of secondary users (SUs) must be adaptively limited to obey the maximum transmit power constraint imposed by hardware design and the primary outage constraint imposed by communication reliability of primary users (PUs) [3]. These power constraints set the upper-bound on the power of secondary transmitters, inflicting unreliable communication through the direct channel between a secondary source and a secondary destination.…”

Section: Introductionmentioning

confidence: 99%

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Relaying Communications in Energy Scavenging Cognitive Networks: Secrecy Outage Probability Analysis

Ho-Van

Do-Dac

2019

Wireless Communications and Mobile Computing

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This paper exploits a self-powered secondary relay to not only maintain but also secure communications between a secondary source and a secondary destination in cognitive radio networks when source-destination channel is unavailable. The relay scavenges energy from radio frequency (RF) signals of the primary transmitter and the secondary source and consumes the scavenged energy for its relaying activity. Under the maximum transmit power constraint, Rayleigh fading, the primary outage constraint, and the interference from the primary transmitter, this paper suggests an accurate closed-form expression of the secrecy outage probability to promptly assess the security performance of relaying communications in energy scavenging cognitive networks. The validity of the proposed expression is verified by computer simulations. Numerous results demonstrate the security performance saturation in the range of large maximum transmit power or high required outage probability of primary users. Moreover, the security performance is a function of several system parameters among which the relay's position, the power splitting factor, and the time splitting factor can be optimized to achieve the minimum secrecy outage probability.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Relaying Communications in Energy Scavenging Cognitive Networks: Secrecy Outage Probability Analysis

Ho-Van

Do-Dac

2019

Wireless Communications and Mobile Computing

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“…Suppose that the GBS is equipped with V antennas, while the PR, PB, ST, IDs, and URs are each equipped with a single antenna [13], [26], [27]. For the GBS-PR, ST-PR, ST-UR 1 , UR 1 -PR, UR n -UR n+1 , UR N -D p , UR N -D q , GBS-UR N , GBS-D p , GBS-D p , UR N -E, and GBS-E links, the channel gains are denoted by g GvP , g SP , g SU 1 , g UnU n+1 , g U N Dp , g U N Dp , g GvU N , g GvDp , g GvDq , g U N E , and g GvE , respectively, and the distances are denoted by…”

Section: System Model and Communication Protocol A System Model And C...mentioning

confidence: 99%

Throughput Optimization for Noma Energy Harvesting Cognitive Radio With Multi-UAV-Assisted Relaying Under Security Constraints

Dang

Nguyen

et al. 2023

IEEE Trans. Cogn. Commun. Netw.

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This paper investigates the throughput of a non-orthogonal multiple access (NOMA)-based cognitive radio (CR) system with multiple unmanned aerial vehicle (UAV)-assisted relays under system performance and security constraints. We propose a communication protocol that includes an energy harvesting (EH) phase and multiple communication phases. In the EH phase, the multiple UAV relays (URs) harvest energy from a power beacon. In the first communication phase, a secondary transmitter (ST) uses the collected energy to send confidential signals to the first UR using NOMA. Simultaneously, a ground base station communicates with a primary receiver (PR) under interference from the ST. In the subsequent communication phases, the next URs apply the decode-and-forward technique to transmit the signals.In the last communication phase, the Internet of Things destinations (IDs) receive their signals in the presence of an eavesdropper (EAV). Accordingly, the outage probability of the primary network, the throughput of the secondary network, and the leakage probability at the EAV are V.-H. Dang and V. N. Vo are with the

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“…The PTx and STx send their CSIs to the central controller, and this central controller uses finite-rate feedback connections [37]- [39] to send back some quantized CSIs to the PTx and STx. Thus, once the STx knows the CSI of the PTx→PBS links, it can utilize the licensed spectrum of the PU and apply the NOMA principle to deliver the confidential signals to SRx 1 and SRx 2 without causing harmful interference for the PUs [40]- [42].…”

Section: B Communication Protocolmentioning

confidence: 99%

“…S , respectively. We consider the case in which the transmission protocol is used in each time block [40]. As the STx utilizes the n-th channel of PTx n while PTx n communicates with the PBS, it generates limited interference for the PBS.…”

Section: śăŷŷğů žĩ Wdǆmentioning

confidence: 99%

Secondary Network Throughput Optimization of NOMA Cognitive Radio Networks Under Power and Secure Constraints

Dang

Tran

et al. 2023

IEEE Access

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Recently, the combination of cognitive radio networks with the nonorthogonal multiple access (NOMA) approach has emerged as a viable option for not only improving spectrum usage but also supporting large numbers of wireless communication connections. However, cognitive NOMA networks are unstable and vulnerable because multiple devices operate on the same frequency band. To overcome this drawback, many techniques have been proposed, such as optimal power allocation and interference cancellation. In this paper, we consider an approach by which the secondary transmitter (STx) is able to find the best licensed channel to send its confidential message to the secondary receivers (SRxs) by using the NOMA technique. To combat eavesdroppers and achieve reasonable performance, a power allocation policy that satisfies both the outage probability (OP) constraint of primary users and the security constraint of secondary users is optimized. The closed-form formulas for the OP at the primary base station and the leakage probability for the eavesdropper are obtained with imperfect channel state information. Furthermore, the throughput of the secondary network is analyzed to evaluate the system performance. Based on that, two algorithms (i.e., the continuous genetic algorithm (CGA) for CR NOMA (CGA-CRN) and particle swarm optimization (PSO) for CR NOMA (PSO-CRN)), are applied to optimize the throughput of the secondary network. These optimization algorithms guarantee not only the performance of the primary users but also the security constraints of the secondary users. Finally, simulations are presented to validate our research results and provide insights into how various factors affect system performance. INDEX TERMSCognitive radio network, NOMA, Imperfect CSI, Throughput optimization, Performance constraints I. INTRODUCTION Recently, non-orthogonal multiple access (NOMA) has been regarded as a viable technology to increase not only spectrum usage but also support for many connections [1]-[7]. The key idea is that multiple NOMA users are able to access the same frequency at the same time [1]. Here, the transmitter may employ the superposition coding technique to combine multiple signals, while the receiver implements successive interference cancellation (SIC) to decode its signal [2]. The work reported in [7] showed that the capacity of

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Optimal energy harvesting time and power allocation policy in CRN under security constraints from eavesdroppers

Cited by 6 publications

References 16 publications

Relaying Communications in Energy Scavenging Cognitive Networks: Secrecy Outage Probability Analysis

Relaying Communications in Energy Scavenging Cognitive Networks: Secrecy Outage Probability Analysis

Throughput Optimization for Noma Energy Harvesting Cognitive Radio With Multi-UAV-Assisted Relaying Under Security Constraints

Secondary Network Throughput Optimization of NOMA Cognitive Radio Networks Under Power and Secure Constraints

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