Demo Data from SIGIR 2026 / reviewers in the wild / expert
Vikas Kukshya
dblp:58/6720
· DBLP profile ↗
3ranked-venue papers
2as first author
0since 2021 · last 2007
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 1
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 · 91% Wireless networking · 9% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Physical-layer communications › channel modeling › channel characterization
channel measurement |
0.0 | 1 | 2002 | Spatial and temporal characteristics of 60-GHz indoor channels · IEEE J. Sel. Areas Commun. 2002 |
Physical-layer communications › channel modeling › propagation channel modeling
millimeter-wave channel modeling |
0.0 | 1 | 2002 | Spatial and temporal characteristics of 60-GHz indoor channels · IEEE J. Sel. Areas Commun. 2002 |
Physical-layer communications › channel modeling › multipath channel
multipath channel characterization |
0.0 | 1 | 2002 | Spatial and temporal characteristics of 60-GHz indoor channels · IEEE J. Sel. Areas Commun. 2002 |
Methods — techniques the papers use, named apart from their topics
sliding correlator · 0.0ray tracing · 0.0directional antenna sweeping · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | Impact of Inter-Vehicular Interference on the Performance of Tire Pressure Monitoring SystemsabstractIn this paper, we present a system simulator that can evaluate the performance of direct measurement Tire Pressure Monitoring Systems (TPMS) in various operational scenarios. We also discuss the following capabilities of the simulator: (1) modeling the wireless channel characteristics experienced by the signal between various transmitters and the receiver of a given vehicle, (2) modeling collisions among wireless signals of a given vehicle and those of the nearby vehicles, and (3) quantifying the impact of wireless channel characteristics and collisions among wireless signals on the performance of the TPMS. Using results for hypothetical simulation scenarios, we demonstrate the impact of wireless channel characteristics, receiver sensitivity level, and inter-vehicular interference on the performance of the TPMS. Vikas Kukshya, Hyok J. Song, Hui-Pin Hsu, Richard W. Wiese |
VTC Fall | 1 |
| 2006 | Experimental Measurements and Modeling for Vehicle-to-Vehicle Dedicated Short Range Communication (DSRC) Wireless ChannelsabstractThe dedicated short range communication (DSRC) standard (also known as IEEE 802.11p) can be used to enable a number of vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) wireless radio communication based active safety and telematics applications. In this paper, we briefly document various experimental measurement scenarios and characterize performance of the DSRC standard based radio modules in ldr Additive White Gaussian Noise (AWGN) wireless channel ldr Line-of-sight, no-vehicle-traffic, street road environment ldr Line-of-sight, parking lot environment with moderate-to- dense (surrounding) vehicle density ldr Line-of-sight, freeway environment with low-to-moderate (surrounding) vehicle density The wireless channel models, derived from performance statistics for above mentioned experimental measurement environments, have been incorporated into a DSRC wireless network simulator, and are being used to quantitatively characterize the large-scale network performances (and functional feasibilities) of several V2V, DSRC wireless communication standard based active safety and telematics applications. Vikas Kukshya, Hariharan Krishnan |
VTC Fall | 1 |
| 2002 | Spatial and temporal characteristics of 60-GHz indoor channelsabstractThis article presents measurement results and models for 60-GHz channels. Multipath components were resolved in time by using a sliding correlator with 10-ns resolution and in space by sweeping a directional antenna with 7/spl deg/ half power beamwidth in the azimuthal direction. Power delay profiles (PDPs) and power angle profiles (PAPs) were measured in various indoor and short-range outdoor environments. Detailed multipath structure was retrieved from PDPs and PAPs and was related to site-specific environments. Results show an excellent correlation between the propagation environments and the multipath channel structures. The measurement results confirm that the majority of the multipath components can be determined from image based ray tracing techniques for line-of-sight (LOS) applications. For non-LOS (NLOS) propagation through walls, the metallic structure of composite walls must be considered. From the recorded PDPs and PAPs, received signal power and statistical parameters of angle-of-arrival and time-of-arrival were also calculated. These parameters accurately describe the spatial and temporal properties of millimeter-wave channels and can be used as empirical values for broadband wireless system design for 60-GHz short-range channels. Hao Xu 0001, Vikas Kukshya, Theodore S. Rappaport |
IEEE J. Sel. Areas Commun. | 2 |