Demo Data from EDBT 2026 / reviewers in the wild / expert
Khushboo Yadav
dblp:197/5676
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2022
—ORCID · unresolved
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1 · 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 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Physical-layer communications › error probability analysis
bit error rate analysis |
0.6 | 1 | 2022 | BER Analysis for OTFS Zero Forcing Receiver · IEEE Trans. Commun. 2022 |
Physical-layer communications
error probability analysis |
0.6 | 1 | 2022 | BER Analysis for OTFS Zero Forcing Receiver · IEEE Trans. Commun. 2022 |
Physical-layer communications
modulation |
0.6 | 1 | 2022 | BER Analysis for OTFS Zero Forcing Receiver · IEEE Trans. Commun. 2022 |
Physical-layer communications › modulation › multicarrier modulation
OTFS modulation |
0.6 | 1 | 2022 | BER Analysis for OTFS Zero Forcing Receiver · IEEE Trans. Commun. 2022 |
Physical-layer communications › receiver design › linear receivers
zero-forcing receiver |
0.6 | 1 | 2022 | BER Analysis for OTFS Zero Forcing Receiver · IEEE Trans. Commun. 2022 |
Physical-layer communications
channel state information |
0.2 | 1 | 2022 | BER Analysis for OTFS Zero Forcing Receiver · IEEE Trans. Commun. 2022 |
Methods — techniques the papers use, named apart from their topics
probability distribution function · 0.6numerical integration · 0.6eigenvalue analysis · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | BER Analysis for OTFS Zero Forcing ReceiverabstractWe derive closed form bit error rate (BER) expression for orthogonal time frequency space (OTFS) zero-forcing (ZF) receiver with perfect and imperfect receive channel information. Depending on the delay-Doppler locations of the propagation paths of the OTFS channel H, the expression$\mathrm {H}^{H}\mathrm {H}$is shown to have either distinct or repetitive eigenvalues. When$\mathrm {H}^{H}\mathrm {H}$has two or less distinct eigenvalues and the remaining ones are repetitive, we derive the probability distribution function (pdf) of the signal-to-noise-plus-interference-ratio (SINR) of the ZF receiver. A closed form BER expression is then derived by averaging the conditional BER over the SINR pdf. When$\mathrm {H}^{H}\mathrm {H}$has$n$distinct eigenvalues, we use numerical integration to derive a generalized expression for the SINR pdf. We show that this pdf can be tightly approximated by the Gamma pdf, and then use it to derive the BER expression. The derived OTFS ZF BER expression therefore, unlike the existing ones in the literature, does not require averaging over multiple channel realizations. We show, for different modulation schemes and OTFS system parameters, that the BER calculated using the derived expressions closely matches the one calculated numerically. Prem Singh, Khushboo Yadav, Himanshu B. Mishra, Rohit Budhiraja |
IEEE Trans. Commun. | 2 |