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Mahsa Rezaii

dblp:88/10931 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2012
—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 · 40% Cellular and mobile networks · 40% Wireless networking · 20%

Topics — the 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Wireless networking › wireless transmission › ultra-wideband
impulse radio
0.112012
On Optimal Front-End Filter for Single-User Detection in IR-UWB Systems · IEEE Trans. Commun. 2012
Cellular and mobile networks
interference management
0.112012
On Optimal Front-End Filter for Single-User Detection in IR-UWB Systems · IEEE Trans. Commun. 2012
Cellular and mobile networks › interference management
multiple-access interference
0.112012
On Optimal Front-End Filter for Single-User Detection in IR-UWB Systems · IEEE Trans. Commun. 2012
Physical-layer communications › signal detection
multiuser detection
0.112012
On Optimal Front-End Filter for Single-User Detection in IR-UWB Systems · IEEE Trans. Commun. 2012
Physical-layer communications › spread spectrum
ultra-wideband communication
0.112012
On Optimal Front-End Filter for Single-User Detection in IR-UWB Systems · IEEE Trans. Commun. 2012

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

front-end filtering · 0.1SINR analysis · 0.1
YearPublicationVenuePosition
2012 On Optimal Front-End Filter for Single-User Detection in IR-UWB Systems
abstract
We consider a K user Gaussian multiple access system with impulse radio ultra-wideband signaling. The receiver is assumed to treat the Multi-Access Interference (MAI) as additive noise and does not enjoy multiuser detection. It is well known that for such a system the MAI is neither Gaussian nor white. Although, the non-Gaussianity of the MAI has been extensively studied, little attention has been directed to the non-whiteness of it. In this paper, we show that by employing a new front-end filter at the receiver, the non-whiteness of the MAI can be exploited to improve the performance of the single-user detector. We use the signal-to-interference-plus-noise ratio (SINR) as a merit to evaluate the performance improvement brought to the system. The SINR improvement depends on the interference level as well as pulse waveform. The bit error rate of the system is also simulated and compared with that of conventional matched filter receiver.
Said Nader-Esfahani, Mahsa Rezaii, Akbar Ghasemi
IEEE Trans. Commun.2