Demo Data from EDBT 2026 / reviewers in the wild / expert
Nidhi Bansal
dblp:04/6458
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2005
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 2
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Physical-layer communications
diversity combining |
0.1 | 1 | 2005 | Analysis of minimum selection H-S/MRC in Rayleigh fading · IEEE Trans. Commun. 2005 |
Physical-layer communications › diversity combining
generalized selection combining |
0.1 | 1 | 2005 | Analysis of minimum selection H-S/MRC in Rayleigh fading · IEEE Trans. Commun. 2005 |
Physical-layer communications
error probability analysis |
0.0 | 1 | 2005 | Analysis of minimum selection H-S/MRC in Rayleigh fading · IEEE Trans. Commun. 2005 |
Physical-layer communications › fading channels
rayleigh fading |
0.0 | 1 | 2005 | Analysis of minimum selection H-S/MRC in Rayleigh fading · IEEE Trans. Commun. 2005 |
Methods — techniques the papers use, named apart from their topics
symbol error probability derivation · 0.1closed-form distribution analysis · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2005 | Analysis of minimum selection H-S/MRC in Rayleigh fadingabstractWe analyze the error performance of an improved hybrid selection/maximal-ratio combining (H-S/MRC) technique called minimum selection H-S/MRC in flat Rayleigh fading for coherent digital modulation schemes. Here the minimum number of diversity branches are selected such that their combined signal-to-noise ratio is above a given threshold. We derive a closed-form expression for the distribution of the number of selected branches. This distribution is used to obtain the symbol error probability. Pranay Gupta, Nidhi Bansal, Ranjan K. Mallik |
IEEE Trans. Commun. | 2 |
| 2004 | Analysis of minimum selection GSC in Rayleigh fadingabstractThis paper analyzes the error performance of an improved generalized selection combining (GSC) technique called minimum selection GSC (MS-GSC) in flat Rayleigh fading for coherent digital modulation schemes. Here the minimum number of diversity branches is selected such that their combined signal-to-noise ratio (SNR) is above a given threshold. The threshold chosen here is determined by the combiner output SNR rather than individual branch SNRs as done in absolute threshold GSC (AT-GSC) and normalized threshold GSC (NT-GSC). As a result, MS-GSC uses less resource than AT-GSC or NT-GSC to give the same performance. We obtain a closed-form expression for the distribution of the number of selected branches followed by a closed-form expression for the characteristic function (c.f.) of the combiner output SNR. This c.f. is used to obtain the symbol error probability for different digital modulation schemes. Numerical results for M-ary phase-shift keying are presented as an example. Pranay Gupta, Nidhi Bansal, Ranjan K. Mallik |
ICC | 2 |