Error Rate Analysis of Different Modulation Schemes Over Shadowed Beaulieu-Xie Fading Channels

Hawaibam, Sisira; Singh, Aheibam Dinamani

doi:10.1080/03772063.2022.2069604

Cited by 7 publications

(16 citation statements)

References 25 publications

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“…Fig. 2 combines the results for QAM-16 (with moderate fading and shadowing): the derived exact solution (10) (truncated to 3 terms), its asymptotics (13), numeric integration in ( 9), and Monte-Carlo solid lines -proposed analytical expression (10), dashed lines -asymptotic expression (13), colored circle markers -numeric integration in ( 9), and black crossed markers -numeric simulation.…”

Section: Simulation and Resultsmentioning

confidence: 99%

“…shadowed model was that it was able to handle arbitrary fading and shadowing coefficients. The novel model was analyzed from the perspectives of its error rate performance [13], physical layer security [14], and channel capacity [15].…”

Section: Introductionmentioning

confidence: 99%

“…2. QAM-16 ABER for various γ and 𝑚 𝑥 = 𝑚 𝑌 = 1.2, Ω 𝑋 = Ω 𝑌 = 1 dB: solid lines -proposed analytical expression(10), dashed lines -asymptotic expression(13), colored circle markers -numeric integration in (9), and black crossed markers -numeric simulation.…”

mentioning

confidence: 99%

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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

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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.

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Section: Simulation and Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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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

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“…The expression of ABER for wireless communication systems is presented in [7] as

P_{E} goodbreak= \int_{0}^{\infty} P_{E} ((), \frac{ε}{\overset{s}{true}}) f_{{\overset{s}{true}}_{italicmrc}} ((), \overset{truê}{s}) d \overset{s}{true},

where the conditional BER for the coherent modulation scheme is

P_{E, c} ((), ε / \overset{s}{true}) = italicaQ ((), \sqrt{b \overset{truê}{s}})

7 . The Gaussian Q ‐function is given as

Q ((), \sqrt{b \overset{truê}{s}}) = ((), 1 / 2 π) normalΓ ((),, 0.5, b \overset{s}{true} / 2)

7 . The values of a and b depend on the types of modulation schemes utilized 14 …”

Section: Numerical Analysismentioning

confidence: 99%

“…It can cooperate with both NLOS and LOS signal components. Analysis of the error rate for different digital modulation schemes for SBX fading channels is carried out in [7]. The study showed how different fading and shadowing parameters impacted the system's performance.…”

Section: Introductionmentioning

confidence: 99%

Performance evaluation of L‐maximal ratio combining diversity with estimation error for Shadowed Beaulieu‐Xie fading channels

Hawaibam,

Singh

2023

Int J Communication

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SummaryTo provide the increasing demand for wireless technologies, high capacity with lower latency is vital. New emerging technologies like 5G, millimeter wave, THz, and so forth are able to characterize such complex fading and shadowed environments. Spatial diversity is one of the techniques to minimize fading in the wireless communication channel. The performance of the wireless communication system can be further optimized by using estimators at the receivers. The influence of imperfect channel estimation on the performance over shadowed Beaulieu‐Xie (SBX) fading channels with L‐maximal ratio combining (MRC) diversity is studied. The probability density function (PDF) of the received output signal‐to‐noise ratio (SNR) with L‐MRC over SBX fading channels is derived. Further PDF of the received output SNR, outage probability, and average bit error rate (ABER) using the derived PDF is evaluated for L‐MRC diversity with channel estimation error over SBX fading channels. ABER expression for Gray‐coded rectangular quadrature amplitude modulation over the SBX channel is also evaluated. The study also includes how the system performs under the effect of different shadowing and fading parameters.

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Bit error rate analysis of MRC diversity receiver over shadowed Beaulieu‐Xie fading channels for mmWave communications

Mona Devi,

Dinamani Singh

2024

Int J Communication

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SummaryThis paper presents the performance of maximum ratio combining (MRC) diversity receiver over shadowed Beaulieu‐Xie (SBX) fading model. The SBX model is used to characterise wireless communication environments that include multiple numbers of line‐of‐sight (LOS) and non‐line‐of‐sight (NLOS) signals. The probability density function (PDF) of the MRC scheme over the SBX channel has been derived. The PDF‐based approach has been used to calculate the outage performance and average bit error rate of several modulation schemes for coherent and non‐coherent signals. It has also been shown how the diversity orders and the fading channel's parameters affect the system's performance. To authenticate the evaluated expressions, Monte‐Carlo simulation results are used for validation. The SBX model is used to characterise wireless communication environments that include multiple numbers of LOS and NLOS signals.

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Error Rate Analysis of Different Modulation Schemes Over Shadowed Beaulieu-Xie Fading Channels

Cited by 7 publications

References 25 publications

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

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

Performance evaluation of L‐maximal ratio combining diversity with estimation error for Shadowed Beaulieu‐Xie fading channels

Bit error rate analysis of MRC diversity receiver over shadowed Beaulieu‐Xie fading channels for mmWave communications

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