Outage Probability Expressions for an IRS-Assisted System With and Without Source-Destination Link for the Case of Quantized Phase Shifts in <i>κ – μ</i> Fading

Charishma, Mavilla; Subhash, Athira; Shekhar, Shashank; Kalyani, Sheetal

doi:10.1109/tcomm.2021.3119357

Cited by 29 publications

(13 citation statements)

References 30 publications

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“…Proof. The approximation is obtained using the method of moments [6]. Here, we evaluate the first and second moments of the RV X k and solve for the parameters of the Log-Normal distribution with the corresponding values for the moments.…”

Section: The Log-normal Approximationmentioning

confidence: 99%

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SINR Analysis of an IRS Assisted MU-MISO System

Jayalal¹,

Shekhar²,

Subhash³

et al. 2022

Preprint

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In this work, we characterize the outage probability (OP) of an intelligent reflecting surface (IRS) assisted multi-user multiple-input-single-output (MU-MISO) communication system. Using a two-step approximation method, we approximate the signal-to-interference-plus-noise ratio (SINR) for any downlink user by a Log-Normal random variable. The impact of various system parameters is studied using the closed-form expression of OP. It is concluded that the position of IRS has a critical role, but an appropriate increase in the number of IRS elements would help to compensate for the loss in performance if the position of IRS is suboptimal.

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Section: The Log-normal Approximationmentioning

confidence: 99%

“…Outage probability (OP) is an important metric to characterize the performance of a communication system. Works like [6]- [8] have focused on the characterization of OP for an IRS-assisted single-input-single-output (SISO) systems.…”

Section: Introductionmentioning

confidence: 99%

SINR Analysis of an IRS Assisted MU-MISO System

Jayalal¹,

Shekhar²,

Subhash³

et al. 2022

Preprint

Self Cite

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“…In [18] the statistical characterization of α − µ and η − µ RV is done along with κ − µ RV. Recently, the authors in [19] considered an IRS-assisted communication system where each link undergoes κ − µ fading, and hence the link between source and destination via IRS is the product of two κ − µ RVs.…”

Section: Introductionmentioning

confidence: 99%

A New Expression for the Product of Two $κ-μ$ Shadowed Random Variables and its Application to Wireless Communication

Shekhar¹,

Kalyani²

2022

Preprint

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In this work, the product of two independent and non-identically distributed (i.n.i.d) κ−µ shadowed random variables is studied. We derive the series expression for the probability density function (PDF), cumulative distribution function (CDF), and moment generating function (MGF) of the product of two (i.n.i.d) κ − µ shadowed random variables. The derived formulation in this work is quite general as they incorporate most of the typically used fading channels. As an application example, outage probability (OP) has been derived for cascaded wireless systems and relay-assisted communications with a variable gain relay. Extensive Monte-Carlo simulations have also been carried out.

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“…Considering practical implementation, the existence of phase adjustment errors in IRS-aided systems is inevitable. Motivated by this, the impact of phase adjustment errors on the performance of IRS-aided systems was analyzed in [23][24][25][26][27]. Specifically, [23,24] considered the IRS to adopt continuous phase adjustment and modeled phase estimation errors by the Von Mises distribution, while [25,26] considered discrete phase adjustment at the IRS and analyzed the performance of IRS-aided SISO systems.…”

Section: Introductionmentioning

confidence: 99%

“…Motivated by this, the impact of phase adjustment errors on the performance of IRS-aided systems was analyzed in [23][24][25][26][27]. Specifically, [23,24] considered the IRS to adopt continuous phase adjustment and modeled phase estimation errors by the Von Mises distribution, while [25,26] considered discrete phase adjustment at the IRS and analyzed the performance of IRS-aided SISO systems. Furthermore, [27] examined the impact of various phase errors (including phase estimation errors and quantization errors) on the average bit error rate performance of IRS-aided systems with a large number of IRS elements.…”

Section: Introductionmentioning

confidence: 99%

Average Block Error Rate of Intelligent Reflecting Surface Aided Short-Packet Communications

Liu¹,

Yang²,

Fang³

et al. 2022

Preprint

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<p>We comprehensively analyze the average block error rate (BLER) performance of intelligent reflecting surface (IRS) aided short-packet communication (SPC) systems over Rician fading. Our analysis covers two communication scenarios, depending on whether or not the direct link exists between the base station and the user, addresses two types of phase errors, namely, phase estimation errors modeled by the Von Mises distribution and quantization errors, and facilitates system design based on the instantaneous channel state information (CSI) and the statistical CSI. In our analysis, we first derive the distributions of the end-to-end channel and the received signal-to-noise ratio at the user under different phase adjustment strategies. Then we propose a more accurate approximation of the $Q$ function to derive closed-form expressions for the average BLER. Using numerical and simulation results, we corroborate the accuracy of our analysis and investigate the impacts of various parameters of the system, such as the number of IRS elements and the phase adjustment strategy, and different CSI availabilities on the average BLER performance. We also show that compared to the instantaneous CSI based design, the statistical CSI based design yields the near-optimal BLER performance for a large Rician factor, making it attractive for ultra-reliable and low-latency communications, given its low implementation complexity.</p>

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Outage Probability Expressions for an IRS-Assisted System With and Without Source-Destination Link for the Case of Quantized Phase Shifts in κ – μ Fading

Cited by 29 publications

References 30 publications

SINR Analysis of an IRS Assisted MU-MISO System

SINR Analysis of an IRS Assisted MU-MISO System

A New Expression for the Product of Two $κ-μ$ Shadowed Random Variables and its Application to Wireless Communication

Average Block Error Rate of Intelligent Reflecting Surface Aided Short-Packet Communications

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