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Shane M. Haas

dblp:74/9217 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2003
—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.

Theoretical computer science
1 paper
Information theory · 100%
Computer networks
1 paper
Physical-layer communications · 100%

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

TopicWeightPapersLastEvidence papers
Physical-layer communications
free-space optical communication
0.012003
Capacity of wireless optical communications · IEEE J. Sel. Areas Commun. 2003
Physical-layer communications › optical wireless communication
optical wireless channel
0.012003
Capacity of wireless optical communications · IEEE J. Sel. Areas Commun. 2003
Information theory
channel capacity
0.012003
Capacity of wireless optical communications · IEEE J. Sel. Areas Commun. 2003
Information theory › channel capacity › fading channel
ergodic capacity
0.012003
Capacity of wireless optical communications · IEEE J. Sel. Areas Commun. 2003
Information theory › channel capacity › fading channel
outage capacity
0.012003
Capacity of wireless optical communications · IEEE J. Sel. Areas Commun. 2003

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

monte carlo simulation · 0.1moment-matching approximation · 0.1
YearPublicationVenuePosition
2003 Capacity of wireless optical communications
abstract
We consider the ergodic capacity and capacity-versus-outage probability of direct-detection optical communication through a turbulent atmosphere using multiple transmit and receive apertures. We assume shot-noise-limited operation in which detector outputs are doubly stochastic Poisson processes whose rates are proportional to the sum of the transmitted powers, scaled by lognormal random fades, plus a background noise. In the high and low signal-to-background ratio regimes, we show that the ergodic capacity of this fading channel equals or exceeds that for a channel with deterministic path gains. Furthermore, knowledge of these path gains is not necessary to achieve capacity when the signal-to-background ratio is high. In the low signal-to-background ratio regime, path-gain knowledge provides minimal capacity improvement when using a moderate number of transmit apertures. We also develop expressions for the capacity-versus-outage probability in the high and low signal-to-background ratio regimes, by means of a moment-matching approximation to the distribution for the sum of lognormal random variables. Monte Carlo simulations show that these capacity-versus-outage approximations are quite accurate for moderate numbers of apertures.
Shane M. Haas, Jeffrey H. Shapiro
IEEE J. Sel. Areas Commun.1