Power Minimization for Secure Multi-User MISO NOMA System With Energy Harvesting

Zhou, Jiasi; Sun, Yanjing; Cao, Qi; Li, Song; Sun, Zhi; Wang, Xiaolin

doi:10.1109/tvt.2020.3005143

Cited by 12 publications

(3 citation statements)

References 33 publications

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“…A joint design on beamforming vectors and artificial noise (AN) covariance matrix were introduced in [15] for the NOMA system to minimize the complexity. But the trust-based secure NOMA system was not designed to improve confidential data transmission.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Enhance the normal power performance Failed to minimize the computational complexity [15] Joint design on beamforming vectors and artificial noise (AN) covariance matrix Minimize the complexity But the trust-based secure system was not designed [16] Physical layer security based on NOMA Higher secrecy rate Analytical optimization of power allocation factors was not considered. [17] Secure and accurate Channel State Information (CSI)…”

Section: Literature Reviewmentioning

confidence: 99%

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Multivariate Aggregated NOMA for Resource Aware Wireless Network Communication Security

Sridhar¹,

Rao²,

Hussain³

et al. 2023

Computers, Materials &Amp; Continua

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Nonorthogonal Multiple Access (NOMA) is incorporated into the wireless network systems to achieve better connectivity, spectral and energy effectiveness, higher data transfer rate, and also obtain the high quality of services (QoS). In order to improve throughput and minimum latency, a Multivariate Renkonen Regressive Weighted Preference Bootstrap Aggregation based Nonorthogonal Multiple Access (MRRWPBA-NOMA) technique is introduced for network communication. In the downlink transmission, each mobile device's resources and their characteristics like energy, bandwidth, and trust are measured. Followed by, the Weighted Preference Bootstrap Aggregation is applied to recognize the resource-efficient mobile devices for aware data transmission by constructing the different weak hypotheses i.e., Multivariate Renkonen Regression functions. Based on the classification, resource and trust-aware devices are selected for transmission. Simulation of the proposed MRRWPBA-NOMA technique and existing methods are carried out with different metrics such as data delivery ratio, throughput, latency, packet loss rate, and energy efficiency, signaling overhead. The simulation results assessment indicates that the proposed MRRWPBA-NOMA outperforms well than the conventional methods.

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Section: Literature Reviewmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

Multivariate Aggregated NOMA for Resource Aware Wireless Network Communication Security

Sridhar¹,

Rao²,

Hussain³

et al. 2023

Computers, Materials &Amp; Continua

View full text Add to dashboard Cite

show abstract

“…The second direction lies in EH. Recently, to enhance of the wireless communication networks in term of the EE, RF signals have been evaluated as viable new sources to implement EH as recent works in [29,30,31,32,33,34]. Motivated by these approaches, we design linear EH in the perspective of HetNet manner.…”

Section: A Related Work and Motivationmentioning

confidence: 99%

Exploiting Impacts of Antenna Selection and Energy Harvesting for Massive Network Connectivity

Nguyen

Al‐Rubaye

et al. 2021

IEEE Trans. Commun.

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As a new energy saving approach for green communications, energy harvesting (EH) could be suitable technique to facilitate massive connections for large number of devices in such networks. The spectrum shortage occurs in huge number of devices which access with small-cell and macro-cell networks. To tackle these challenges, we develop a tractable framework relying on prominent techniques such as non-orthogonal multiple access (NOMA), antenna selection and energy harvesting. In this paper, we aim at practical scenarios of small cell networks by jointly evaluating capable of interference management and EH. We benefit from transmission approaches including full duplex (FD) and bi-directional transmission to improve the main performance system metrics such as outage probability and throughput. Three useful schemes are explored by considering EH and inter-cell interference. We derive the closed-form and asymptotic expressions for system metrics. We then perform extensive simulations with different system configurations to confirm the effectiveness of the proposed small-cell NOMA systems.

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Remote radio frequency unit selection of self-sustaining distributed base-station system based on downlink physical layer secure transmission

Zhou,

Huang,

Xiao

2024

Wireless Netw

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Power Minimization for Secure Multi-User MISO NOMA System With Energy Harvesting

Cited by 12 publications

References 33 publications

Multivariate Aggregated NOMA for Resource Aware Wireless Network Communication Security

Multivariate Aggregated NOMA for Resource Aware Wireless Network Communication Security

Exploiting Impacts of Antenna Selection and Energy Harvesting for Massive Network Connectivity

Remote radio frequency unit selection of self-sustaining distributed base-station system based on downlink physical layer secure transmission

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