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Mavilla Charishma

dblp:289/0104 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2022
0000-0002-6874-8117ORCID · reported

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Physical-layer communications · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications
outage probability
0.612022
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 · IEEE Trans. Commun. 2022
Physical-layer communications
reconfigurable intelligent surface
0.612022
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 · IEEE Trans. Commun. 2022
Physical-layer communications
channel modeling
0.212022
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 · IEEE Trans. Commun. 2022
Physical-layer communications › channel modeling › fading channel modeling
κ-μ fading
0.212022
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 · IEEE Trans. Commun. 2022

Methods — techniques the papers use, named apart from their topics

monte carlo simulation · 0.6moment matching · 0.6kullback-leibler divergence minimization · 0.6
YearPublicationVenuePosition
2022 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
abstract
In this work, we study the outage probability (OP) at the destination of an intelligent reflecting surface (IRS) assisted communication system in a$\kappa -\mu $fading environment. A practical system model that takes into account the presence of phase error due to quantization at the IRS when a) source-destination (SD) link is present and b) SD link is absent is considered. First, an exact expression is derived, and then we derive three simple approximations for the OP using the following approaches: (i) uni-variate dimension reduction, (ii) moment matching and, (iii) Kullback–Leibler (KL) divergence minimization. The resulting expressions for OP are simple to evaluate and quite tight even in the tail region. The validity of these approximations is demonstrated using extensive Monte Carlo simulations. We also study the impact of the number of bits available for quantization, the position of IRS with respect to the source and destination and the number of IRS elements on the OP for systems with and without an SD link. We also demonstrate how the method of moment matching and KL divergence minimization can be used to analyze systems experiencing spatial correlation between the IRS elements.
Mavilla Charishma, Athira Subhash, Shashank Shekhar 0004, Sheetal Kalyani
IEEE Trans. Commun.1