Demo Data from VLDB 2026 / reviewers in the wild / expert
Anish Chattopadhyay
dblp:340/9049
· DBLP profile ↗
2ranked-venue papers
1as first author
2since 2021 · last 2023
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 2 · 1 first-author · 2 since 2021
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 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Physical-layer communications › MIMO › massive MIMO
cell-free massive MIMO |
0.7 | 1 | 2023 | Hardware-Impaired Rician-Faded Cell-Free Massive MIMO Systems With LSFD and Channel Aging: SE Analysis and Optimization · IEEE Trans. Commun. 2023 |
Physical-layer communications › channel modeling › time-varying channels
channel aging |
0.7 | 1 | 2023 | Hardware-Impaired Rician-Faded Cell-Free Massive MIMO Systems With LSFD and Channel Aging: SE Analysis and Optimization · IEEE Trans. Commun. 2023 |
Physical-layer communications › information theory › capacity analysis
spectral efficiency analysis |
0.7 | 1 | 2023 | Hardware-Impaired Rician-Faded Cell-Free Massive MIMO Systems With LSFD and Channel Aging: SE Analysis and Optimization · IEEE Trans. Commun. 2023 |
Methods — techniques the papers use, named apart from their topics
minorization-maximization · 0.7large-scale fading decoding · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | LSFD for Rician-Faded Cell-Free mMIMO Systems with Channel Aging and Hardware ImpairmentsabstractWe study the impact of channel aging on the uplink of a cell-free massive multiple-input multiple-output system with hardware impairments. We consider a dynamic analog-to-digital converter architecture at the access points (APs), and low-resolution digital-to-analog converters at the user equipments (UEs). We derive a closed-form spectral efficiency expression by considering i) practical spatially-correlated Rician channels; ii) hardware impairments at the APs and the UEs; iii) channel aging; and iv) large-scale fading decoding (LSFD). We show that LSFD can effectively mitigate the detrimental effects of i) channel aging for both low and high UE velocities; and ii) inter-user interference for low-velocity UEs but not for high-velocity UEs. Anish Chattopadhyay, Venkatesh Tentu, Dheeraj Naidu Amudala, Rohit Budhiraja |
ICC | 1 |
| 2023 | Hardware-Impaired Rician-Faded Cell-Free Massive MIMO Systems With LSFD and Channel Aging: SE Analysis and OptimizationabstractWe study the impact of channel aging on the uplink of a cell-free (CF) massive multiple-input multiple-output (mMIMO) system by considering i) spatially-correlated Rician-faded channels; ii) hardware impairments at the access points and user equipments (UEs); and iii) two-layer large-scale fading decoding (LSFD). We first derive a closed-form spectral efficiency (SE) expression for this system, and later propose two novel optimization techniques to optimize the non-convex SE metric by exploiting the minorization-maximization (MM) method. The first one requires a numerical optimization solver, and has a high computation complexity. The second one with closed-form transmit power updates, has a trivial computation complexity. We numerically show that i) the two-layer LSFD scheme effectively mitigates the interference due to channel aging for both low- and high-velocity UEs; and ii) increasing the number of AP antennas does not mitigate the SE deterioration due to channel aging. We numerically characterize the optimal pilot length required to maximize the SE for various UE speeds. We also numerically show that the proposed closed-form MM optimization yields the same SE as that of the first technique, which requires numerical solver, and that too with a much reduced time-complexity. Venkatesh Tentu, Dheeraj Naidu Amudala, Anish Chattopadhyay, Rohit Budhiraja |
IEEE Trans. Commun. | 3 |