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Liang-Ching Lin

dblp:88/11035 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2012
—ORCID · none

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 · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications
diversity		 0.112012
Two-Branch Selection in Wireless Space-Diversity Reception: An Upper Bound for its Output Power · IEEE Trans. Commun. 2012
Physical-layer communications › diversity combining
selection combining		 0.112012
Two-Branch Selection in Wireless Space-Diversity Reception: An Upper Bound for its Output Power · IEEE Trans. Commun. 2012
Physical-layer communications › diversity
spatial diversity		 0.112012
Two-Branch Selection in Wireless Space-Diversity Reception: An Upper Bound for its Output Power · IEEE Trans. Commun. 2012
Physical-layer communications › channel modeling › propagation channel modeling
wireless propagation channel		 0.012012
Two-Branch Selection in Wireless Space-Diversity Reception: An Upper Bound for its Output Power · IEEE Trans. Commun. 2012

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

upper bound derivation · 0.1monte carlo simulation · 0.1
YearPublicationVenuePosition
2012 Two-Branch Selection in Wireless Space-Diversity Reception: An Upper Bound for its Output Power
abstract
This paper analytically derives an upper bound for the output power of two-sensor branch-selection (a.k.a. "antenna selection," "selection diversity," or "selection combining") reception, based on an empirically proven "geometric model" of the wireless propagation channel. The derived upper bound is explicit in terms of the geometric model parameters. The tightness of this upper bound is verified by Monte Carlo simulations.
Liang-Ching Lin, Meihui Guo, Kainam Thomas Wong
 IEEE Trans. Commun.1