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Pedro Martins Marques

dblp:11/5559 · DBLP profile ↗
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1ranked-venue papers
1as first author
0since 2021 · last 2008
—ORCID · none

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

Theory of computation · 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 5 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications › channel modeling › MIMO channel modeling
antenna correlation
0.112008
On the Derivation of the Exact, Closed-Form Capacity Formulas for Receiver-Sided Correlated MIMO Channels · IEEE Trans. Inf. Theory 2008
Physical-layer communications › information theory
capacity analysis
0.112008
On the Derivation of the Exact, Closed-Form Capacity Formulas for Receiver-Sided Correlated MIMO Channels · IEEE Trans. Inf. Theory 2008
Physical-layer communications › channel modeling › MIMO channel modeling
correlated MIMO channel
0.112008
On the Derivation of the Exact, Closed-Form Capacity Formulas for Receiver-Sided Correlated MIMO Channels · IEEE Trans. Inf. Theory 2008
Physical-layer communications
MIMO
0.112008
On the Derivation of the Exact, Closed-Form Capacity Formulas for Receiver-Sided Correlated MIMO Channels · IEEE Trans. Inf. Theory 2008
Physical-layer communications
antenna arrays
0.012008
On the Derivation of the Exact, Closed-Form Capacity Formulas for Receiver-Sided Correlated MIMO Channels · IEEE Trans. Inf. Theory 2008

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

closed-form capacity derivation · 0.1
YearPublicationVenuePosition
2008 On the Derivation of the Exact, Closed-Form Capacity Formulas for Receiver-Sided Correlated MIMO Channels
abstract
This paper solves the problem of finding a closed-form expression for the average information-theoretic capacity of wireless systems with an arbitrary number of transmitter and receiver antennas. It is assumed that only the receivers have (perfect) knowledge of the channel state and that fading correlation is receiver-sided. The main purpose of the paper is accomplished by introducing a few very simple concepts and performing some clear-cut algebraic manipulations, making the presentation virtually self-contained. The results show a substantial capacity reduction in the presence of correlation between receiver antennas. It is also shown that employing linear arrays with nonuniform spacings may improve the system capacity, and a simple technique to exploit this possibility is presented. Isotropic and nonisotropic propagation scenarios are studied.
Pedro Martins Marques, Sílvio Almeida Abrantes
IEEE Trans. Inf. Theory1