Demo Data from VLDB 2026 / reviewers in the wild / expert
Sha Cui
dblp:183/6687
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2019
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 2
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 |
Cellular and mobile networks · 56% Physical-layer communications · 44% |
Topics — the 5 heaviest of 5, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Cellular and mobile networks
coordinated multipoint |
0.2 | 1 | 2016 | Coordinated multi-point transmissions based on interference alignment and neutralization · INFOCOM 2016 |
Physical-layer communications
interference alignment |
0.2 | 1 | 2016 | Coordinated multi-point transmissions based on interference alignment and neutralization · INFOCOM 2016 |
Cellular and mobile networks › interference management
interference neutralization |
0.2 | 1 | 2016 | Coordinated multi-point transmissions based on interference alignment and neutralization · INFOCOM 2016 |
Physical-layer communications
MIMO |
0.1 | 1 | 2016 | Coordinated multi-point transmissions based on interference alignment and neutralization · INFOCOM 2016 |
Physical-layer communications › MIMO
precoding |
0.1 | 1 | 2016 | Coordinated multi-point transmissions based on interference alignment and neutralization · INFOCOM 2016 |
Methods — techniques the papers use, named apart from their topics
zero-forcing · 0.2precoding · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2019 | Coordinated Multi-Point Transmissions Based on Interference Alignment and NeutralizationabstractBoth interference alignment (IA) and interference neutralization (IN) are exploited for coordinated multi-point (CoMP) communications. With the cooperation of the base station (BS), a transmit precoder and a receive filter are jointly designed, and concurrent transmissions of multiple data streams are then enabled. In the design of a precoder, the IN is applied to the interferences carrying the same data so as to align the interfering signals in the opposite direction in a subspace. On the other hand, for interferences carrying different information, IA is employed to align them in the same direction in a subspace, thus reducing the interference signal observed at the receiver side. Based on different precoding schemes at the transmitter's side, receivers adopt zero forcing (ZF) so as to recover the desired data. The proposed IA- and IN-based CoMP (IAN-CoMP) mechanism can achieve effective interference cancellation and suppression by exploiting limited and flexible collaboration at the BS side. It can also make a flexible tradeoff between the cooperation overhead and the system's achievable degrees of freedom (DoFs). We extend the mechanism to general cases where the antenna configurations at both the transmitter and receiver sides, the number of transmitters participating in CoMP, and that of simultaneously served users are variable. Moreover, we discuss both single-location and multi-location-based realizations of the IAN-CoMP. Finally, by defining the average transmit and receive cooperation order, we analyze the upper bound for IAN-CoMP. Our in-depth simulation shows that the IAN-CoMP can significantly improve the spectral efficiency (SE) for cell-edge users. Zhao Li 0005, Jie Chen 0056, Lu Zhen, Sha Cui, Kang G. Shin, Jia Liu 0009 |
IEEE Trans. Wirel. Commun. | 4 |
| 2016 | Coordinated multi-point transmissions based on interference alignment and neutralizationabstractBoth interference alignment (IA) and interference neutralization (IN) are exploited for Coordinated Multi-Point (CoMP) transmissions. With the base station's cooperation, transmit precoder and receive filter are designed jointly, and then concurrent transmissions of multiple data streams are achieved. In the design of preprocessing, IN is applied to the interferences carrying same data so as to align the interfering signals with opposite directions in a subspace. On the other hand, for interferences carrying different information, IA is employed to align them with the same direction in a subspace, thus reducing the interference signal dimension observed at the user side. Based on different precoding schemes at the transmitter's side, receivers adopt zero-forcing (ZF) so as to recover the desired data. The proposed interference alignment and neutralization based CoMP (IAN-CoMP) mechanism can achieve effective interference cancellation and suppression by exploiting limited and flexible collaboration only at the base station (BS) side. We also extend the mechanism to general cases where the antenna configurations at both transmitter and receiver side, the number of transmitters participating in CoMP and simultaneously served users are variable. In addition, the proposed scheme can also achieve a flexible tradeoff between cooperation overhead and the system's achievable degrees of freedom (DoFs). Our in-depth simulation results show that IAN-CoMP can significantly improve the spectral efficiency (SE) for cell-edge users. Zhao Li 0006, Sha Cui, Kang G. Shin |
INFOCOM | 2 |