Cooperative SWIPT MIMO-NOMA for Reliable THz 6G Communications

Oleiwi, Haider W.; Saeed, Nagham; Al-Raweshidy, Hamed S.

doi:10.3390/network2020017

Cited by 21 publications

(10 citation statements)

References 32 publications

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“…The upcoming sixth-generation (6G) systems are expected to connect billions of communication devices all over the world [1], [2]. Most promising 6G technologies are artificial intelligence/machine learning [3], [4], reconfigurable intelligent surfaces [5], backscatter communication [6], nonorthogonal multiple access (NOMA) [7], blockchain [8], [9], Tera-hertz communication [10], and simultaneous wireless information and power transfer [11]. These technologies will integrate to the current communication networks such as unmanned aerial vehicles [12], intelligent transportation systems [13], cognitive radio networks [14], Internet of Things [15], device to device communication [16], and physical layer security [17].…”

Section: Introductionmentioning

confidence: 99%

Cooperative backscatter NOMA with imperfect SIC: Towards energy efficient sum rate maximization in sustainable 6G networks

Ahmed

Ali

Khan

et al. 2022

Journal of King Saud University - Computer and Information Scie

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Section: Introductionmentioning

confidence: 99%

Cooperative backscatter NOMA with imperfect SIC: Towards energy efficient sum rate maximization in sustainable 6G networks

Ahmed

Ali

Khan

et al. 2022

Journal of King Saud University - Computer and Information Scie

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“…The networks' edges connect several types of billions of served nodes that provide various services e.g., communicating, computing, processing, or sensing for multiple applications via a base station (BS) using terahertz (THz) radio frequency signals [1], [2].…”

Section: Introductionmentioning

confidence: 99%

MLTs-ADCNs: Machine Learning Techniques for Anomaly Detection in Communication Networks

2022

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From a security perspective, the research of the jeopardized wireless communications and its expected ultra-densified ubiquitous wireless networks urge the development of a robust intrusion detection system (IDS) with powerful capabilities which could not be sufficiently provided by the existing conventional systems. IDSs are still insufficient against continuous renewable unknown attacks on the wireless communication networks, especially with the new highly vulnerable networks, leading to low accuracy and detection rate with high (false-negative, and false-positive) rates. To this end, this paper proposed a novel anomaly detection in communication networks by using an ensemble learning (EL) algorithm-based anomaly detection in communication networks (ADCNs). EL-ADCNs consist of four main stages; the first stage is the preprocessing steps. The feature selection method is the second stage. It adopts the proposed hybrid method using correlation with the random forest algorithm of ensemble learning (CFS-RF). It reduces dimensionality and retrieves the best subset feature of all the three datasets (NSL_KDD, UNSW_NB2015, and CIC_IDS2017) separately. The third stage is using hybrid EL algorithms to detect intrusions. It involves modifying two classifiers (i.e., random forest RF, and support vector machine SVM) to apply them as adaboosting and bagging EL Algorithms; using the voting average technique as the aggregation process. The final stage is testing the proposal using binary and multi-class classification forms. The experimental results of applying (30, 35, and 40) features of the proposed system to the three datasets achieved the best results of NSL_KDD are 99.6% accuracy with a 0.004 false-alarm rate, a 99.1% accuracy with a 0.008 false-alarm rate for UNSW_NB2015, and a 99.4% accuracy with a 0.0012 false-alarm rate for CIC_IDS2017.

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“…Nowadays, there is a notable, tremendous growth in service-demanding users and devices accompanying the next era of fully connected communication systems. Unprecedented infrastructure, technologies, and applications in the communications field bring new features into view, i.e., data-hungry streams and unified ubiquitous systems, generating huge traffic [1][2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

“…Recently [1][2][3][4][5], Internet use is rising in several aspects of our everyday activities; thus, mobile and Internet usage has increased with increasing demands from people that the Internet should adapt to the requirements of their lives. As a result, people are flocking to innovative requirements such as mobility, multihoming, and ubiquity.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Differentiated Services Policies in Multihomed Networks Based on an Interface-Selection Mechanism

et al. 2022

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Quality of service metrics and differentiated service mechanism policies are the most important criteria to deliver essential Internet requirements, especially during user handover, due to the rapid growth of users, multimedia applications, and traffic. DiffServ routers provide per-hop behaviors to manage traffic for services, whereas their policies have been applied to several types of Internet traffic, such as hypertext transfer protocol, file transfer protocol, and content-based routing. Multihoming aims to improve the reliability, scalability, and performance of data communications networks. This paper evaluated DiffServ various policies compared in a systematic manner (in two stages) over the multihomed networks to utilize and adopt the best policy for communicating packets, and enhanced the overall performance in terms of throughput, end-to-end latency, and processing time. Moreover, the paper introduced an interface-selection technique for multihomed nodes to select a proper interface, which provides the best services and links the behaviors that this interface yields. The overall results showed how the introduced multihoming-based interface-selection mechanism managed to maintain communication with the multihomed node. Furthermore, our results showed that the DiffServ time-sliding window with a three-color marking policy achieved the best system performance compared with the remaining policies.

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Cooperative SWIPT MIMO-NOMA for Reliable THz 6G Communications

Cited by 21 publications

References 32 publications

Cooperative backscatter NOMA with imperfect SIC: Towards energy efficient sum rate maximization in sustainable 6G networks

Cooperative backscatter NOMA with imperfect SIC: Towards energy efficient sum rate maximization in sustainable 6G networks

MLTs-ADCNs: Machine Learning Techniques for Anomaly Detection in Communication Networks

Evaluation of Differentiated Services Policies in Multihomed Networks Based on an Interface-Selection Mechanism

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