Demo Data from EDBT 2026 / reviewers in the wild / expert
Lokesh Gahane
dblp:206/8638
· DBLP profile ↗
2ranked-venue papers
2as first author
0since 2021 · last 2018
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 2 · 2 first-author
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 |
Wireless networking · 50% Physical-layer communications · 50% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Wireless networking
cognitive radio |
0.3 | 1 | 2018 | An Improved Energy Detector for Mobile Cognitive Users Over Generalized Fading Channels · IEEE Trans. Commun. 2018 |
Physical-layer communications › signal detection › noncoherent detection
energy detection |
0.3 | 1 | 2018 | An Improved Energy Detector for Mobile Cognitive Users Over Generalized Fading Channels · IEEE Trans. Commun. 2018 |
Physical-layer communications
fading channels |
0.3 | 1 | 2018 | An Improved Energy Detector for Mobile Cognitive Users Over Generalized Fading Channels · IEEE Trans. Commun. 2018 |
Wireless networking › cognitive radio
spectrum sensing |
0.3 | 1 | 2018 | An Improved Energy Detector for Mobile Cognitive Users Over Generalized Fading Channels · IEEE Trans. Commun. 2018 |
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2018 | An Improved Energy Detector for Mobile Cognitive Users Over Generalized Fading ChannelsabstractA cooperative cognitive radio network (CRN) with improved energy detection-based spectrum sensing is analyzed in various fading scenarios. Generalized multipath (Nakagami-m) fading and enriched multipath (Nakagami-q) fading models are considered along with two other general fading distributions, i.e., κ-μ and η-μ distributions. For spectrum sensing, instead of conventional power 2-based detection method, the arbitrary power p-based improved energy detector is used. The impact of the cognitive user mobility on the performance of the improved energy detector is investigated. Specifically, the statistics for the received signal are derived over various fading environments. The performance of the considered CRN system is evaluated in terms of probability of false alarm, probability of missed detection, and receiver operating characteristics (ROC) curves. Moreover, the area under the ROC curve is also obtained. Simulation results are provided to corroborate the theoretical results derived in this paper. Lokesh Gahane, Prabhat Kumar Sharma, Neeraj Varshney, Theodoros A. Tsiftsis, Preetam Kumar |
IEEE Trans. Commun. | 1 |
| 2017 | Performance of improved energy detector with cognitive radio mobility and imperfect channel state informationabstractA cooperative cognitive radio (CR) network with multiple secondary users (or CRs) is considered. Each CR consists of an arbitrary M number of antennas. For spectrum sensing, at each CR, an improved energy detector with selection combining mechanism is assumed. Moreover, the impact of secondary user mobility on the performance of spectrum sensing is analysed. Specifically, the expression for received signal at destination is derived considering the imperfect channel state information in Rayleigh fading environment. The authors derive the expression for probability of false alarm and miss detection using arbitrary power p ‐based improved energy detector and analyse the error performance of the system. The area under receiver operating characteristics curve is also obtained. Simulation results are provided to verify the analysis presented in this study. Lokesh Gahane, Prabhat Kumar Sharma |
IET Commun. | 1 |