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Ashwini H. Raghavendra

dblp:325/8703 · DBLP profile ↗
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1ranked-venue papers
1as 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 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 · 56% Internet of things and sensor networks · 22% Wireless networking · 22%

Topics — the 6 heaviest of 6, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Internet of things and sensor networks › backscatter communication
ambient backscatter communication
0.612022
Generalized Space Shift Keying for Ambient Backscatter Communication · IEEE Trans. Commun. 2022
Physical-layer communications › modulation › index modulation
generalized space shift keying
0.612022
Generalized Space Shift Keying for Ambient Backscatter Communication · IEEE Trans. Commun. 2022
Wireless networking › wireless transmission › backscatter
MIMO backscatter
0.612022
Generalized Space Shift Keying for Ambient Backscatter Communication · IEEE Trans. Commun. 2022
Physical-layer communications › MIMO › spatial modulation
space shift keying
0.612022
Generalized Space Shift Keying for Ambient Backscatter Communication · IEEE Trans. Commun. 2022
Physical-layer communications
error probability analysis
0.212022
Generalized Space Shift Keying for Ambient Backscatter Communication · IEEE Trans. Commun. 2022
Physical-layer communications › error probability analysis
pairwise error probability
0.212022
Generalized Space Shift Keying for Ambient Backscatter Communication · IEEE Trans. Commun. 2022

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

monte carlo simulation · 0.6maximum likelihood detection · 0.6asymptotic analysis · 0.6
YearPublicationVenuePosition
2022 Generalized Space Shift Keying for Ambient Backscatter Communication
abstract
We consider a generalized space shift keying (GSSK)-enabled multiple-input multiple-output (MIMO) ambient backscatter communication (ABC) system. We propose a scheme to exploit the multiple antenna structure of the system to achieve a lower error-rate performance than conventional ABC systems. Furthermore, we present a novel low complexity energy-based maximum likelihood (EML) GSSK detector, which does not require the perfect knowledge of the ambient source’s signal, unlike the conventional ABC receivers. To gain insights into the performance of the proposed scheme, we derive the exact pairwise error probability (PEP) of the EML detector and further obtain an upper bound on the probability of error. We also derive a simple asymptotic PEP expression as the number of antennas of the reader becomes large. Finally, we derive a simple, asymptotic PEP at the reader when the noise variance approaches zero, i.e., under the large signal-to-interference ratio regime. We validate our analysis through Monte Carlo simulations and show a small performance loss due to the approximations.
Ashwini H. Raghavendra, Anagha K. Kowshik, Sanjeev Gurugopinath, Sami Muhaidat, Chintha Tellambura
IEEE Trans. Commun.1