Demo Data from EDBT 2026 / reviewers in the wild / expert
Yan Zhang 0046
dblp:04/3348-46
· DBLP profile ↗
2ranked-venue papers
2as first author
0since 2021 · last 2007
—ORCID · unresolved
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
1 paper |
Coding theory · 100% |
Topics — the 13 heaviest of 13, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Physical-layer communications
MIMO |
0.1 | 2 | 2007 | Approaching V-BLAST Capacity With Adaptive Modulation and LDPC Encoding · IEEE Trans. Commun. 2007 Tradeoff between diversity gain and interference suppression in a MIMO MC-CDMA system · IEEE Trans. Commun. 2005 |
Physical-layer communications › modulation
adaptive modulation |
0.1 | 1 | 2007 | Approaching V-BLAST Capacity With Adaptive Modulation and LDPC Encoding · IEEE Trans. Commun. 2007 |
Physical-layer communications › MIMO › layered space-time architecture
V-BLAST |
0.1 | 1 | 2007 | Approaching V-BLAST Capacity With Adaptive Modulation and LDPC Encoding · IEEE Trans. Commun. 2007 |
Coding theory › error-correcting codes
code construction |
0.1 | 1 | 2007 | Approaching V-BLAST Capacity With Adaptive Modulation and LDPC Encoding · IEEE Trans. Commun. 2007 |
Coding theory › error-correcting codes
LDPC codes |
0.1 | 1 | 2007 | Approaching V-BLAST Capacity With Adaptive Modulation and LDPC Encoding · IEEE Trans. Commun. 2007 |
Physical-layer communications
interference suppression |
0.1 | 1 | 2005 | Tradeoff between diversity gain and interference suppression in a MIMO MC-CDMA system · IEEE Trans. Commun. 2005 |
Physical-layer communications › spread spectrum › multicarrier CDMA
MC-DS-CDMA |
0.1 | 1 | 2005 | Tradeoff between diversity gain and interference suppression in a MIMO MC-CDMA system · IEEE Trans. Commun. 2005 |
Physical-layer communications › interference suppression
multiple-access interference suppression |
0.1 | 1 | 2005 | Tradeoff between diversity gain and interference suppression in a MIMO MC-CDMA system · IEEE Trans. Commun. 2005 |
Physical-layer communications
spread spectrum |
0.1 | 1 | 2005 | Tradeoff between diversity gain and interference suppression in a MIMO MC-CDMA system · IEEE Trans. Commun. 2005 |
Physical-layer communications › MIMO
transmit diversity |
0.1 | 1 | 2005 | Tradeoff between diversity gain and interference suppression in a MIMO MC-CDMA system · IEEE Trans. Commun. 2005 |
Coding theory › error-correcting codes › decoding › iterative decoding
density evolution |
0.0 | 1 | 2007 | Approaching V-BLAST Capacity With Adaptive Modulation and LDPC Encoding · IEEE Trans. Commun. 2007 |
Physical-layer communications › beamforming
adaptive beamforming |
0.0 | 1 | 2005 | Tradeoff between diversity gain and interference suppression in a MIMO MC-CDMA system · IEEE Trans. Commun. 2005 |
Physical-layer communications
beamforming |
0.0 | 1 | 2005 | Tradeoff between diversity gain and interference suppression in a MIMO MC-CDMA system · IEEE Trans. Commun. 2005 |
Methods — techniques the papers use, named apart from their topics
parallel interference cancellation · 0.1density evolution · 0.1MMSE filtering · 0.1maximal ratio transmission · 0.1diversity analysis · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | Approaching V-BLAST Capacity With Adaptive Modulation and LDPC EncodingabstractThis paper presents a practical implementation of the vertical Bell Laboratories layered space-time (V-BLAST) type system, in which the multiple-input multiple-output (MIMO) open-loop capacity can be approached with conventional scalar coding, using adaptive modulation with appropriate channel codes, e.g., low-density parity-check (LDPC) codes and optimum successive detection (OSD). The density evolution (DE) technique is employed to determine the maximal achievable rate of an LDPC code for each transmit antenna for a given channel realization at a given SNR. Numerical results show that the average sum rate of the adaptively modulated LDPC-encoded system is quite close to the V-BLAST capacity with both rate and power adaptations. Considering the performing degradation caused by error propagation due to the imperfect feedback and relatively long decoding delay in the OSD, we use parallel interference cancellation (PIC) followed by minimum mean square error (MMSE) filtering in the bit error rate (BER) performance simulation. Simulation results show that a target BER of 10-5 can be achieved by the optimally designed LDPC codes. To simplify the code design, we replace the LDPC codes optimally designed for each channel realization with rate-compatible punctured LDPC codes, at the cost of a slight sum rate loss. If the fading process is nonergodic, the outage capacity corresponding to a given outage probability is used to measure the channel performance. As an example, we design the LDPC codes for an adaptively modulated 2×2 V-BLAST system to approach its outage capacity for a given outage probability. Yan Zhang 0046, Paul H. Siegel, Laurence B. Milstein |
IEEE Trans. Commun. | 1 |
| 2005 | Tradeoff between diversity gain and interference suppression in a MIMO MC-CDMA systemabstractIn this paper, the uplink of an asynchronous multi-carrier direct-sequence code-division multiple-access (MC-DS-CDMA) system with multiple antennas at both the transmitter and the receiver is considered. We analyze the system performance over a spatially correlated Rayleigh fading channel with multiple-access interference (MAI), and evaluate the antenna array performance with joint fading reduction and MAI suppression. Assuming perfect channel knowledge available at the transmitter, maximal ratio transmission is employed to weight the transmitted signal optimally in terms of combating signal fading. At the receiver, adaptive beamforming reception is adopted to both suppress MAI and combat the fading. Note that while correlations among the fades of the antennas in the receive array reduce the diversity gain against fading, the array still has the capability for interference suppression. We examine the effect of varying the number of transmit and receive antennas on both the diversity gain and the interference suppression. Yan Zhang 0046, Laurence B. Milstein, Paul H. Siegel |
IEEE Trans. Commun. | 1 |