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Yan Zhang 0046

dblp:04/3348-46 · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Physical-layer communications
MIMO
0.122007
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
0.112007
Approaching V-BLAST Capacity With Adaptive Modulation and LDPC Encoding · IEEE Trans. Commun. 2007
Physical-layer communications › MIMO › layered space-time architecture
V-BLAST
0.112007
Approaching V-BLAST Capacity With Adaptive Modulation and LDPC Encoding · IEEE Trans. Commun. 2007
Coding theory › error-correcting codes
code construction
0.112007
Approaching V-BLAST Capacity With Adaptive Modulation and LDPC Encoding · IEEE Trans. Commun. 2007
Coding theory › error-correcting codes
LDPC codes
0.112007
Approaching V-BLAST Capacity With Adaptive Modulation and LDPC Encoding · IEEE Trans. Commun. 2007
Physical-layer communications
interference suppression
0.112005
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
0.112005
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
0.112005
Tradeoff between diversity gain and interference suppression in a MIMO MC-CDMA system · IEEE Trans. Commun. 2005
Physical-layer communications
spread spectrum
0.112005
Tradeoff between diversity gain and interference suppression in a MIMO MC-CDMA system · IEEE Trans. Commun. 2005
Physical-layer communications › MIMO
transmit diversity
0.112005
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
0.012007
Approaching V-BLAST Capacity With Adaptive Modulation and LDPC Encoding · IEEE Trans. Commun. 2007
Physical-layer communications › beamforming
adaptive beamforming
0.012005
Tradeoff between diversity gain and interference suppression in a MIMO MC-CDMA system · IEEE Trans. Commun. 2005
Physical-layer communications
beamforming
0.012005
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
YearPublicationVenuePosition
2007 Approaching V-BLAST Capacity With Adaptive Modulation and LDPC Encoding
abstract
This 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 system
abstract
In 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