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Yi Xiang 0003

dblp:40/9479-3 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2020
0000-0003-3739-5969ORCID · verified

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 1 · 1 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
Physical-layer communications · 62% Internet of things and sensor networks · 38%
Theoretical computer science
1 paper
Coding theory · 100%

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

TopicWeightPapersLastEvidence papers
Internet of things and sensor networks › wireless sensor network
energy-efficient communication
0.412020
Design and Performance Analysis for Short Range, Very Low-Power Communications · IEEE Trans. Commun. 2020
Physical-layer communications › signal processing for communications
transceiver design
0.412020
Design and Performance Analysis for Short Range, Very Low-Power Communications · IEEE Trans. Commun. 2020
Coding theory
error-correcting codes
0.412020
Design and Performance Analysis for Short Range, Very Low-Power Communications · IEEE Trans. Commun. 2020
Coding theory › error-correcting codes
reed-solomon codes
0.412020
Design and Performance Analysis for Short Range, Very Low-Power Communications · IEEE Trans. Commun. 2020
Physical-layer communications › modulation › frequency-shift keying
MFSK
0.112020
Design and Performance Analysis for Short Range, Very Low-Power Communications · IEEE Trans. Commun. 2020
Physical-layer communications
modulation
0.112020
Design and Performance Analysis for Short Range, Very Low-Power Communications · IEEE Trans. Commun. 2020

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

noncoherent detection · 0.9hard-decision decoding · 0.9bandpass filter optimization · 0.9
YearPublicationVenuePosition
2020 Design and Performance Analysis for Short Range, Very Low-Power Communications
abstract
We are interested in a communication system that operates under stringent power constraints, but is flexible with bandwidth constraints. Our approach is to consider some of the key elements in a transceiver and optimize them for low power consumption, as opposed to optimizing them to minimize, say, average probability of error. An obvious consequence of this is that high complexity components of the system, such as matched filters, forward error correction that employs iterative decoders, coherent demodulators, and bandwidth-efficient modulation formats, are not feasible for this research. Rather, our system is designed using M-ary FSK with non-coherent detection, optimized two-pole bandpass filters (BPF), and Reed-Solomon (RS) codes with hard-decision decoding. Among other things, we show that by properly optimizing the key parameters of the BPFs and RS codes, we can design the system to be significantly less complex than an optimal one, and only lose about 1.2 (M=16) to 1.5 (M=2) dB in terms of performance.
Yi Xiang 0003, Laurence B. Milstein
IEEE Trans. Commun.1