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Lucia Valbonesi

dblp:64/2842 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2006
—ORCID · none

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

Computer networks · 2 · 2 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
2 papers
Physical-layer communications · 100%
Theoretical computer science
2 papers
Information theory · 100%

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

TopicWeightPapersLastEvidence papers
Physical-layer communications › modulation › multicarrier modulation
OFDM
0.122006
Frame-Based Approach for Peak-to-Average Power Ratio Reduction in OFDM · IEEE Trans. Commun. 2006
Frame-Theoretic Approach for Peak-to-Average Power-Ratio Reduction in OFDM · IEEE Trans. Commun. 2006
Physical-layer communications › modulation › multicarrier modulation › OFDM
peak-to-average power ratio reduction
0.122006
Frame-Based Approach for Peak-to-Average Power Ratio Reduction in OFDM · IEEE Trans. Commun. 2006
Frame-Theoretic Approach for Peak-to-Average Power-Ratio Reduction in OFDM · IEEE Trans. Commun. 2006
Information theory › signal processing › signal representation › frame theory
frame expansion
0.022006
Frame-Based Approach for Peak-to-Average Power Ratio Reduction in OFDM · IEEE Trans. Commun. 2006
Frame-Theoretic Approach for Peak-to-Average Power-Ratio Reduction in OFDM · IEEE Trans. Commun. 2006
Information theory › signal processing › signal representation
frame theory
0.022006
Frame-Based Approach for Peak-to-Average Power Ratio Reduction in OFDM · IEEE Trans. Commun. 2006
Frame-Theoretic Approach for Peak-to-Average Power-Ratio Reduction in OFDM · IEEE Trans. Commun. 2006

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

frame expansion · 0.2projection-onto-convex-sets · 0.1projection onto convex sets · 0.1
YearPublicationVenuePosition
2006 Frame-Theoretic Approach for Peak-to-Average Power-Ratio Reduction in OFDM
abstract
A new method for reducing the peak-to average power ratio (PAPR) in orthogonal frequency-division multiplexing is proposed. The new method, called erasure pattern selection (EPS), is based on the use of frame expansion for adding redundancy to the data. Part of the redundancy is removed by examining several patterns for erasing subcarriers, and selecting the pattern that produces the lowest PAPR for transmission. The residual redundancy in the data is exploited at the receiver to aid both the reconstruction of the erased data and correction of errors. The implementation is aided with the incorporation of a projection-onto-convex-sets (POCS) method in EPS, in order to select and assign the best values to the unused subcarriers and further reduce the PAPR. Complexity analysis and simulation results show that the POCS-based EPS method outperforms existing probabilistic methods, while requiring lower overall complexity.
Lucia Valbonesi, Rashid Ansari
IEEE Trans. Commun.1
2006 Frame-Based Approach for Peak-to-Average Power Ratio Reduction in OFDM
abstract
A new method for reducing the peak-to-average power ratio (PAPR) in orthogonal frequency-division multiplexing is proposed. The new method, called erasure pattern selection (EPS), is based on the use of frame expansion for adding redundancy to the data. Part of the redundancy is removed by examining several patterns for erasing subcarriers and selecting the pattern that produces the lowest PAPR for transmission. The residual redundancy in the data is exploited at the receiver to aid both the reconstruction of the erased data and correction of errors. The implementation is aided with the incorporation of a projection-onto-convex-sets (POCS) method in EPS in order to select and assign the best values to the unused subcarriers and further reduce the PAPR. Complexity analysis and simulation results show that the POCS-based EPS method outperforms existing probabilistic methods, while requiring lower overall complexity
Lucia Valbonesi, Rashid Ansari
IEEE Trans. Commun.1