Demo Data from VLDB 2026 / reviewers in the wild / expert
Lopamudra Kundu
dblp:00/9812
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Physical-layer communications › information theory
capacity analysis |
0.3 | 1 | 2017 | Enhancing Capacity in Compact MIMO-OFDM Systems With Frequency-Selective Matching · IEEE Trans. Commun. 2017 |
Physical-layer communications
MIMO |
0.3 | 1 | 2017 | Enhancing Capacity in Compact MIMO-OFDM Systems With Frequency-Selective Matching · IEEE Trans. Commun. 2017 |
Physical-layer communications › MIMO
MIMO-OFDM |
0.3 | 1 | 2017 | Enhancing Capacity in Compact MIMO-OFDM Systems With Frequency-Selective Matching · IEEE Trans. Commun. 2017 |
Physical-layer communications › antenna systems
mutual coupling |
0.3 | 1 | 2017 | Enhancing Capacity in Compact MIMO-OFDM Systems With Frequency-Selective Matching · IEEE Trans. Commun. 2017 |
Physical-layer communications › performance bounds
capacity bounds |
0.1 | 1 | 2017 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2017 | Enhancing Capacity in Compact MIMO-OFDM Systems With Frequency-Selective MatchingabstractMutual 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 systemsabstractMutual 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 |
ICC | 1 |