Adaptive Wireless-Powered Relaying Schemes With Cooperative Jamming for Two-Hop Secure Communication

Lee, Kisong; Hong, Jun‐Pyo; Choi, Hyun-Ho; Levorato, Marco

doi:10.1109/jiot.2018.2830880

Cited by 47 publications

(22 citation statements)

References 25 publications

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“…To proceed, we substitute (14) into (15). Then, by applying the variable transformation, γ = 1 exp u ð Þ− 1 , and after some mathematical manipulations, (15) can be rewritten as follows:…”

Section: Statistics Of the End-to-end Snrmentioning

confidence: 99%

“…7 Generally, the relays can either operate in DF [8][9][10][11] or AF mode on the basis intensity of received signals. [12][13][14] Within the context of DF relaying, relays can also decode their received signals, remodulate them, and then transmit to the subsequent nodes. 15 Where, based on the relaying strategy adopted, different cooperative protocols can be implemented to achieve target performance criteria, defined in terms of error probability, outage probability, 16 and ergodic capacity.…”

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confidence: 99%

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Exact analysis of the multihop multibranch hybrid AF/DF relaying networks

Forghani

Hassan

Mabrouk

et al. 2020

Int J Communication

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Summary In this paper, the exact analysis of a multihop multibranch (MHMB) relaying network is investigated wherein each relay can operate in amplify‐and‐forward (AF) or decode‐and‐forward (DF) modes depending upon the decoding result of its received signal. If a relay decodes the received signal correctly, it works in DF mode; otherwise, the relay operates in AF mode. Therefore, we name such relaying network as hybrid amplify‐and‐forward and decode‐and‐forward (hybrid AF/DF) relaying network. We first investigate the signal transmission from source to destination node via n number of relays in a hybrid AF/DF MHMB mode. Then, we obtained the statistical features and analyze the end‐to‐end signal‐to‐noise ratio (SNR). Finally, a comprehensive performance analysis is conducted by using maximal ratio combining (MRC) scheme at the destination node. For comparison, we also obtained the results using selection combining (SC) scheme at the destination node. To the best of our knowledge, very few works in the literature have considered a general system model of MHMB relaying network wherein each relay can operate in AF or DF modes, that is, a hybrid AF/DF relaying network. Accordingly, the analysis of our system model is not only novel and exact, but also is comprehensive and can be employed in the future works.

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Section: Statistics Of the End-to-end Snrmentioning

confidence: 99%

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confidence: 99%

Exact analysis of the multihop multibranch hybrid AF/DF relaying networks

Forghani

Hassan

Mabrouk

et al. 2020

Int J Communication

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“…F UTURE wireless networks such as the beyond fifth generation 5G (B5G) system or Internet of Things (IoT) system aim at supporting the rapidly increasing number of mobile devices and data traffic while reducing the network energy consumption compared to the fourth generation (4G) networks [1]. The B5G system will essentially help to establish the IoT as an indispensable part of our lives by setting up the foundation for unleashing its full potential [2], [3]. To achieve this goal, energy-efficient ultra-dense networks (UDNs) have been widely regarded as one of the most promising solutions for the future wireless networks [4]- [6].…”

Section: Introductionmentioning

confidence: 99%

DeCoNet: Density Clustering-Based Base Station Control for Energy-Efficient Cellular IoT Networks

Lee¹,

Jung

Lee

2020

IEEE Access

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Recently, there has been a rapid increase in the number of (small-cell) base stations (BSs) to support the massive amount of mobile data traffic and rapidly increasing number of mobile devices in beyond 5G (B5G) wireless communication systems or Internet of Things (IoT) networks. However, many of these BSs tend to waste a considerable amount of energy to support such data traffic and mobile devices. Therefore, the development of an efficient BS status control algorithm is important for realizing energyefficient IoT networks. To reduce network energy consumption, we herein propose a density clusteringbased BS control algorithm for energy-efficient IoT networks (DeCoNet). DBSCAN (Density-Based Spatial Clustering of Applications with Noise) and OPTICS (Ordering Points To Identify the Clustering Structure) are utilized for partitioning high and low user-density regions. To find the effective number of BSs and their appropriate locations considering user-density differences, we utilize parameters obtained after applying density clustering algorithms to derive the thinning radius that is used to adjust the status of BSs in overall cellular IoT networks. Specifically, the average reachability-distance of each cluster in OPTICS and the distance between the outermost border users of each cluster in DBSCAN are used to obtain the radius of each cluster region. Through extensive computer simulations, we show that the proposed algorithms outperform the conventional algorithms in terms of average area throughput, energy efficiency, energy per information bit, and power consumption per unit area. INDEX TERMS Density clustering, ultra-dense network, energy efficiency, thinning algorithm, cellular IoT networks, BS control.

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“…The secrecy capacity and the secrecy outage probability were researched in [29], where the source with the highest gain was selected to transmit information. Destinationbased cooperative interference schemes for both PSR and TSR protocols were investigated, where the destination splits a portion of power for information transmission, while the rest for power transfer [30].…”

Section: Introductionmentioning

confidence: 99%

“…Different from [28], the relay can harvest energy from both source and destination. In [29,30], residual self-interference was not considered.…”

Section: Introductionmentioning

confidence: 99%

Secrecy rate maximisation for non‐linear energy harvesting relay networks with cooperative jamming and imperfect channel state information

2020

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Adaptive Wireless-Powered Relaying Schemes With Cooperative Jamming for Two-Hop Secure Communication

Cited by 47 publications

References 25 publications

Exact analysis of the multihop multibranch hybrid AF/DF relaying networks

Exact analysis of the multihop multibranch hybrid AF/DF relaying networks

DeCoNet: Density Clustering-Based Base Station Control for Energy-Efficient Cellular IoT Networks

Secrecy rate maximisation for non‐linear energy harvesting relay networks with cooperative jamming and imperfect channel state information

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