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Lopamudra Kundu

dblp:00/9812 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2017
—ORCID · conflict

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
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 › information theory
capacity analysis
0.312017
Enhancing Capacity in Compact MIMO-OFDM Systems With Frequency-Selective Matching · IEEE Trans. Commun. 2017
Physical-layer communications
MIMO
0.312017
Enhancing Capacity in Compact MIMO-OFDM Systems With Frequency-Selective Matching · IEEE Trans. Commun. 2017
Physical-layer communications › MIMO
MIMO-OFDM
0.312017
Enhancing Capacity in Compact MIMO-OFDM Systems With Frequency-Selective Matching · IEEE Trans. Commun. 2017
Physical-layer communications › antenna systems
mutual coupling
0.312017
Enhancing Capacity in Compact MIMO-OFDM Systems With Frequency-Selective Matching · IEEE Trans. Commun. 2017
Physical-layer communications › performance bounds
capacity bounds
0.112017
Enhancing Capacity in Compact MIMO-OFDM Systems With Frequency-Selective Matching · IEEE Trans. Commun. 2017

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

upper and lower bound analysis · 0.3matching network design · 0.3
YearPublicationVenuePosition
2017 Enhancing Capacity in Compact MIMO-OFDM Systems With Frequency-Selective Matching
abstract
Mutual coupling among receive antennas can profoundly reduce capacity in multiple-input, multiple-output (MIMO) systems. Prior work has shown that these losses can often be significantly reduced by using sophisticated antenna matching at the receiver. However, previous studies have focused exclusively on frequency non-selective matching, and rely on assumptions that are valid only for small bandwidths. In this paper, we consider the capacity of broadband MIMO-OFDM systems with coupled receive antennas. We present upper and lower bounds on the best capacity that can be achieved by physically realizable, frequency-selective antenna matching. The upper and lower bounds coincide for most antenna configurations considered in the examples, and thus determine the performance of capacity-optimal matching. These results suggest that frequency-selective matching can significantly increase capacity in the presence of strong coupling. Moreover, these gains can be achieved by a simple class of matching networks that are easily realized in hardware.
Lopamudra Kundu, Brian L. Hughes
IEEE Trans. Commun.1
2014 The impact of frequency-selective matching on the capacity of compact MIMO systems
abstract
Mutual coupling among receive antennas can profoundly reduce the ergodic capacity of MIMO systems. Prior work has shown that these losses can often be mitigated by using multi-port antenna matching at the receiver; however, previous studies have focused exclusively on frequency-nonselective matching and rely on assumptions which are valid only for small bandwidths. In this paper, we revisit the ergodic capacity of a MIMO system with coupled receive antennas for a non-negligible bandwidth. In particular, we present upper and lower bounds on the best possible MIMO capacity that can be achieved by physically-realizable, frequency-selective (FS) multi-port and single-port matching networks. These results suggest that FS matching can significantly increase capacity in the presence of strong coupling, for both single-port and multi-port scenarios. Moreover, we show that these gains can be achieved for a 2 × 2 MIMO system by a simple class of matching networks that are easily realized in hardware.
Lopamudra Kundu, Brian L. Hughes
ICC1