Secure Relay Selection for Two Way Amplify-and-Forward Untrusted Relaying Networks

Mekkawy, Tamer; Yao, Rugui; Qi, Nan; Lu, Yanan

doi:10.1109/tvt.2018.2877718

Cited by 27 publications

(21 citation statements)

References 37 publications

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“…As can be found in Proposition 1, π 0 is a fundamental and critical parameter in obtaining N 0 (z) in (19) as well as subsequent derivation of the mean waiting time. On the other hand, according to (7), π 0 determines the mode transmission frequency at the AP. It is closely related to power consumption at the AP.…”

Section: B Pgfs Of the Fss And Sss Queue Lengthsmentioning

confidence: 99%

“…where 2E sw is the energy cost for mode switching at the relay; 2kE sw is the energy cost for mode switching at the AP; (c ) satisfies with (7). It is worth noting that the electrical circuit power at the relay server and AP are much higher than the packet transmitting power (e.g., 10 watts versus 0.1 watts or abound) [35].…”

Section: ) Power Consumptions For Mode Transitionsmentioning

confidence: 99%

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Traffic-Aware Two-Stage Queueing Communication Networks: Queue Analysis and Energy Saving

Miridakis

Xiao

et al. 2020

IEEE Trans. Commun.

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To boost energy saving for the general delay-tolerant IoT networks, a two-stage and single-relay queueing communication scheme is investigated. Concretely, a traffic-aware Nthreshold and gated-service policy are applied at the relay. As two fundamental and significant performance metrics, the mean waiting time and long-term expected power consumption are explicitly derived and related with the queueing and service parameters, such as packet arrival rate, service threshold and channel statistics. Besides, we take into account the electrical circuit energy consumptions when the relay server and access point (AP) are in different modes and energy costs for mode transitions, whereby the power consumption model is more practical. The expected power minimization problem under the mean waiting time constraint is formulated. Tight closed-form bounds are adopted to obtain tractable analytical formulae with less computational complexity. The optimal energy-saving service threshold that can flexibly adjust to packet arrival rate is determined. In addition, numerical results reveal that: 1) sacrificing the mean waiting time not necessarily facilitates power savings; 2) a higher arrival rate leads to a greater optimal service threshold; and 3) our policy performs better than the current state-of-the-art.Index Terms-Delay tolerant IoT relaying networks, mean waiting time, N -threshold and gated policy, two-hop queueing, and traffic-aware power saving.

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Section: B Pgfs Of the Fss And Sss Queue Lengthsmentioning

confidence: 99%

Section: ) Power Consumptions For Mode Transitionsmentioning

confidence: 99%

Traffic-Aware Two-Stage Queueing Communication Networks: Queue Analysis and Energy Saving

Miridakis

Xiao

et al. 2020

IEEE Trans. Commun.

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“…Several studies have reported that cooperative communications through multiple Rayleigh fading channels can improve the link reliability when traffic density is high [6,19]. Relay selection has been studied extensively in the literature, see, e.g., [20][21][22] and the references therein. However, current results are limited to Rayleigh fading channel assumption (i.e., n = 1).…”

Section: Related Workmentioning

confidence: 99%

Improved S-AF and S-DF Relaying Schemes using Machine Learning based Power Allocation over Cascaded Rayleigh Fading Channels

Alghorani¹,

pierre²

2020

Preprint

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<div>We investigate the performance of a dual-hop intervehicular</div><div>communications (IVC) system with relay selection</div><div>strategy. We assume a generalized fading channel model, known as cascaded Rayleigh (also called n*Rayleigh), which involves the product of n independent Rayleigh random variables. This channel model provides a realistic description of IVC, in contrast to the conventional Rayleigh fading assumption, which is more suitable for cellular networks. Unlike existing works, which mainly consider double-Rayleigh fading channels (i.e, n = 2); our system model considers the general cascading order n; for which we derive an approximate analytic solution for the outage probability under the considered scenario. Also, in this study we propose a machine learning-based power allocation</div><div>scheme to improve the link reliability in IVC. The analytical and simulation results show that both selective decode-and-forward (S-DF) and amplify-and-forward (S-AF) relaying schemes have the same diversity order in the high signal-to-noise ratio regime. In addition, our results indicate that machine learning algorithms can play a central role in selecting the best relay and allocation of transmission power.</div>

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“…Among recent works on the security issue, the combinations of cooperative relays and secure techniques have shown significant improvements on secrecy capacity and system coverage. Due to the low-complexity relaying process and high spectral efficiency outperforms one-way relay network, two-way relays have attracted extensive attentions [28][29][30][31]. In two-way relay networks, eavesdroppers receive the overlapped information when the two legitimate devices broadcast their signals at the same time [31].…”

Section: Introductionmentioning

confidence: 99%

Secure Massive MIMO System with Two-Way Relay Cooperative Transmission in 6G Networks

Su¹,

Gao²,

Zhang³

2020

Preprint

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With the advent of Internet of Everything (IoE) and the era of big data, massive multiple-input multiple-output (MIMO) is considered an essential technology to meet the growing communication requirements for beyond 5G and the forthcoming 6G networks. This paper considers a secure massive MIMO system, where the legitimate user and the base station (BS) exchange messages via two-way relays with the presence of passive eavesdroppers. To achieve the trade-off between the physical-layer security and communication reliability, we design a cooperative transmission mode based on multiple-relay collaboration, where some relays broadcast the received signals and other relays act as friendly jammers to prevent the interception by eavesdroppers. A quantum chemical reaction optimization (QCRO) algorithm is proposed to find the most suitable scheme for multiple-relay collaboration. Simulation results highlight excellent performance of the proposed transmission mode under QCRO in different communication scenarios, which can be considered a potential solution for the security issue in future wireless networks.

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Secure Relay Selection for Two Way Amplify-and-Forward Untrusted Relaying Networks

Cited by 27 publications

References 37 publications

Traffic-Aware Two-Stage Queueing Communication Networks: Queue Analysis and Energy Saving

Traffic-Aware Two-Stage Queueing Communication Networks: Queue Analysis and Energy Saving

Improved S-AF and S-DF Relaying Schemes using Machine Learning based Power Allocation over Cascaded Rayleigh Fading Channels

Secure Massive MIMO System with Two-Way Relay Cooperative Transmission in 6G Networks

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