Performance analysis of <scp>Beaulieu‐Xie</scp> fading channel with <scp>MRC</scp> diversity reception

Kaur, Manpreet; Yadav, Rajesh Kumar

doi:10.1002/ett.3949

Cited by 29 publications

(13 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Sobabe et al 53 has considered leading eigenvector, maximum and minimum eigenvalues as a feature vector for implementing the unsupervised ML algorithm. To obtain the eigenvalues of the covariance matrix of the received signal can be determined from Equation (5). Let us consider eigenvalues of the covariance matrix 𝜆 max > 𝜆 2 > 𝜆 3 > 𝜆 4 > 𝜆 min , where 𝜆 max be the maximum eigenvalue and 𝜆 min minimum eigenvalue.…”

Section: Energy Detection-based Featuresmentioning

confidence: 99%

“…3 The CR devices opportunistically utilize the spectrum allocated to primary user (PU) when PU is detected idle by it. Due to shadowing 4,5 and multi-path fading, 6 the quality of the PU signal received at the secondary user (SU) is degraded, leading to wrong sensing decisions about the presence/absence of PU. In certain situations, due to the geographical constraint, the SU cannot receive the signal of the PU, which is known as the hidden node problem.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Machine learning for cooperative spectrum sensing and sharing: A survey

Janu

Singh

Kumar

2021

Trans Emerging Tel Tech

View full text Add to dashboard Cite

With the rapid development of next-generation wireless communication technologies and the increasing demand of spectrum resources, it becomes necessary to introduce learning and reasoning capabilities in cognitive radio networks (CRN). In particular, our focus is on two fundamental applications in CRNs, namely spectrum sensing (SS) and spectrum sharing. The application of machine learning (ML) techniques has added new aspects to SS and spectrum sharing. This paper offers a survey on various ML-based algorithms in the cooperative spectrum sensing (CSS) and dynamic spectrum sharing (DSS) domain, with its emphasis on types of features extracted from primary user signal, types of ML algorithm, and performance metrics utilized for evaluation of ML algorithms. Starting with the basic principles and challenges of SS, this paper also justifies the applicability of supervised, unsupervised, and reinforcement ML algorithms in the CSS domain. The application of ML algorithms, to solve the DSS problem has also been reviewed. Finally, the survey paper is concluded with some suggested open research challenges and future directions for ML application in next-generation communication technologies.

show abstract

Section: Energy Detection-based Featuresmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Machine learning for cooperative spectrum sensing and sharing: A survey

Janu

Singh

Kumar

2021

Trans Emerging Tel Tech

View full text Add to dashboard Cite

show abstract

“…In this, authors have also presented the comparison of ASC for various fading channel considering as special cases of α‐η‐κ‐μ. The B‐X fading distribution 113 is composed of multiple numbers of LOS components with some diffused power, PLS performance over B‐X faded main and wiretap channel is explained in Reference 114.…”

Section: Pls Classificationsmentioning

confidence: 99%

A comprehensive survey of physical layer security over fading channels: Classifications, applications, and challenges

Yadav

Kumar²,

Kumar

2021

Trans Emerging Tel Tech

View full text Add to dashboard Cite

Due to the open nature of wireless communication systems, the data transmission over these networks are vulnerable to malicious attack. To safeguard the transmitted data, physical layer security (PLS) has been emerged as a promising technique because of its unique feature of utilizing randomness of the wireless channel to secure the information. The preeminent idea of utilizing the channel imperfections such as fading and noise into the security providing resource is the basic approach behind PLS. For exploiting the randomness of the propagation medium, the analysis of the secrecy performance over the fading channel is of utmost importance. With the explanation of basic theory and technology, this paper presents an elaborated survey on the PLS research over the fading channels. To exploit the performance gains, we discuss the optimization approaches in different network design problems, for example, secrecy rate maximization, power minimization, and secure energy efficiency problems. We present a comparative study of the expressions of various performance metrics of the PLS along with classification depending upon the channel state information of the eavesdropper. The application and challenges of the PLS in the emerging wireless technologies are also reviewed and discussed. This paper incorporates almost all the aspects of PLS implemented over the fading channels. Furthermore, the paper is concluded with open research directions for the PLS system in various fields that can be explored to design a flexible and robust security system to satisfy the security requirements of the next‐generation networks.

show abstract

“…The classical Beaulieu-Xie model (proposed in [1]) presented a propagation scenario with multiple specular components, which is of primary importance for THz and FSO communication. It was numerously used to analyze the wireless channel effective capacity [2], its second-order statistics (e.g., level crossing rate and average fade duration) [3] and joint envelope-phase statistics [4], communication error rate for DPSK/MFSK/MPSK/MQAM modulations [5]- [7]; diversity combining schemes were studied in [8] for the MRC receiver and in [9] for the switch-and-stay receiver; the physical layer security (PLS) issues were analyzed in [10] and in [11] PLS with NOMA communication and I/Q imbalance was studied.…”

Section: Introductionmentioning

confidence: 99%

The Statistical Analysis of the Security for a Wireless Communication System with a Beaulieu-Xie Shadowed Fading Model Channel

Gvozdarev¹,

Artemova²,

Patralov³

et al. 2022

View full text Add to dashboard Cite

The paper considers the problem of a wireless communication system’s physical level security for a multipath signal propagation channel and the presence of a wiretap channel. To generalize the propagation effects, the Beaulieu-Xie shadowed channel model was assumed. To describe the security of the information transfer process, such a metric as the secure outage probability of was considered. An analytical expression of the secure outage probability was obtained and analyzed depending on the characteristics of the channel and the communication system: the average value of the signal-to-noise ratio in the main channel and the wiretap channel, the effective path-loss exponent, the relative distance between the legitimate receiver and the wiretap and the threshold bandwidth, normalized to the bandwidth of a smooth Gaussian channel. The analysis considers the sets of parameters that cover all practically important scenarios for the functioning of a wireless communication systems: both deep fading (corresponding to the hyper-Rayleigh scenario) and small fading, both in the case of a significant line-of-sight component and a significant number of multipath clusters, and with significant shadowing of the dominant component and a small number of multipath waves, as well as all intermediate options. It is found out that the value of the energy requirements for guaranteed secure communication at a given speed is determined primarily by the power of multipath components, as well as the existence of an irreducible secure outage probability of a communication session with an increase for channels with strong overall shadowing of the signal components, which from a practical point of view is important to take into account when imposing requirements for the values of the signal-to-noise ratio and the data transfer rate in the direct channel, providing the desired degree of security of the wireless communication session.

show abstract

Performance analysis of Beaulieu‐Xie fading channel with MRC diversity reception

Cited by 29 publications

References 20 publications

Machine learning for cooperative spectrum sensing and sharing: A survey

Machine learning for cooperative spectrum sensing and sharing: A survey

A comprehensive survey of physical layer security over fading channels: Classifications, applications, and challenges

The Statistical Analysis of the Security for a Wireless Communication System with a Beaulieu-Xie Shadowed Fading Model Channel

Contact Info

Product

Resources

About