Demo Data from EDBT 2026 / reviewers in the wild / expert
Shou Y. Mui
dblp:120/6587
· DBLP profile ↗
5ranked-venue papers
4as first author
0since 2021 · last 2006
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Computer networks · 5 · 4 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
4 papers |
Physical-layer communications · 71% Wireless networking · 29% | |
| Theoretical computer science
3 papers |
Coding theory · 100% |
Topics — the 14 heaviest of 14, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Physical-layer communications
channel coding |
0.0 | 4 | 1994 | A comparison of fixed and variable-rate signaling for meteor burst communications · IEEE Trans. Commun. 1994 Coding for meteor burst communications · IEEE Trans. Commun. 1991 Performance of DPSK with Convolutional Encoding on Time-Varying Fading Channels · IEEE Trans. Commun. 1977 |
Wireless networking › wireless transmission
meteor burst communication |
0.0 | 2 | 1994 | A comparison of fixed and variable-rate signaling for meteor burst communications · IEEE Trans. Commun. 1994 Coding for meteor burst communications · IEEE Trans. Commun. 1991 |
Physical-layer communications › channel coding › error control coding
forward error correction |
0.0 | 1 | 1994 | A comparison of fixed and variable-rate signaling for meteor burst communications · IEEE Trans. Commun. 1994 |
Physical-layer communications › channel coding
error control coding |
0.0 | 1 | 1991 | Coding for meteor burst communications · IEEE Trans. Commun. 1991 |
Coding theory › channel coding › error exponent
cutoff rate |
0.0 | 2 | 1994 | A comparison of fixed and variable-rate signaling for meteor burst communications · IEEE Trans. Commun. 1994 Coding for meteor burst communications · IEEE Trans. Commun. 1991 |
Physical-layer communications
modulation |
0.0 | 2 | 1977 | Performance of DPSK with Convolutional Encoding on Time-Varying Fading Channels · IEEE Trans. Commun. 1977 Convolutional Code Performance in the Rician Fading Channel · IEEE Trans. Commun. 1976 |
Physical-layer communications › channel coding › error control coding
convolutional codes |
0.0 | 1 | 1977 | Performance of DPSK with Convolutional Encoding on Time-Varying Fading Channels · IEEE Trans. Commun. 1977 |
Physical-layer communications › modulation › phase-shift keying
differential phase-shift keying |
0.0 | 1 | 1977 | Performance of DPSK with Convolutional Encoding on Time-Varying Fading Channels · IEEE Trans. Commun. 1977 |
Physical-layer communications › channel coding › error control coding
interleaving |
0.0 | 1 | 1976 | Convolutional Code Performance in the Rician Fading Channel · IEEE Trans. Commun. 1976 |
Physical-layer communications › fading channels
rician fading |
0.0 | 1 | 1976 | Convolutional Code Performance in the Rician Fading Channel · IEEE Trans. Commun. 1976 |
Coding theory › error-correcting codes
convolutional codes |
0.0 | 1 | 1976 | Convolutional Code Performance in the Rician Fading Channel · IEEE Trans. Commun. 1976 |
Coding theory › error-correcting codes › convolutional codes › convolutional code decoding
viterbi decoding |
0.0 | 1 | 1976 | Convolutional Code Performance in the Rician Fading Channel · IEEE Trans. Commun. 1976 |
Physical-layer communications › modulation › phase-shift keying
BPSK |
0.0 | 1 | 1976 | Convolutional Code Performance in the Rician Fading Channel · IEEE Trans. Commun. 1976 |
Physical-layer communications
fading channels |
0.0 | 1 | 1977 | Performance of DPSK with Convolutional Encoding on Time-Varying Fading Channels · IEEE Trans. Commun. 1977 |
Methods — techniques the papers use, named apart from their topics
simulation · 0.0performance analysis · 0.0upper bound analysis · 0.0computer simulation · 0.0analytical bounds · 0.0viterbi decoding · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2006 | Successive interference cancellation for cdma2000 using a software defined radioabstractSignal strength imbalance due to imperfect power control and soft handoffs in direct-sequence code division multiple access (CDMA) cellular systems increases the mutual interference among users. This paper discusses the use of successive interference cancellation (SIC) for improving the reception of reverse link signals transmitted by cdma2000 mobile stations. A single-stage SIC algorithm has been implemented in a software defined radio (SDR) which employs general purpose digital signal processing (DSP) chips for interference cancellation and signal demodulation. Computer simulation of the DSP software and measured performance of the SDR have shown SIC to be an effective multiuser detector for the cdma2000 reverse link Shou Y. Mui |
WCNC | 1 |
| 1994 | A comparison of fixed and variable-rate signaling for meteor burst communicationsabstractThis paper compares fixed-rate signaling (FRS) with variable-rate signaling (VRS) when used in conjunction with forward error-correction coding for meteor burst communications. VRS refers to the reduction of bandwidth to compensate for the signal decay, which occurs as a meteor trail diffuses. The performance is quantified by calculating the cutoff channel model which assumes that signal amplitude decays exponentially. It is that VRS achieves the limiting performance constant-amplitude channel if the signaling rate is adjusted to maintain a constant received energy per bit. It is also shown that the improvement of VRS over FRS is moderate to high. Small if the code rate is low and the decoder is provided with side information on the received signal level. Therefore, the use of low-rate coding and PRS is viable alternative to VRS for achieving good performance.> Shou Y. Mui |
IEEE Trans. Commun. | 1 |
| 1991 | Coding for meteor burst communicationsabstractThe use of error correction coding for meteor burst communications is discussed. The cutoff rate is derived for a meteor burst channel model which assumes that the received signal amplitude decays exponentially. The message error rate of a coded system, obtained by means of computer simulation, is compared to that of an uncoded system. A tight upper bound on the performance of the coded system is presented. It is shown that coding can reduce the signal-to-noise ratio (SNR) required for reliable communications via meteor bursts by many decibels. The coding gain is larger at shorter communication ranges where meteor trails, decay faster. It is also shown that the additional improvement achieved by providing the decoder with side information on the instantaneous level of the received signal is small.> Shou Y. Mui |
IEEE Trans. Commun. | 1 |
| 1977 | Performance of DPSK with Convolutional Encoding on Time-Varying Fading ChannelsabstractThe bit error probability performance of a differentiallycoherent phase-shift keyed (DPSK) modem with convolutional encoding and Viterbi decoding on time-varying fading channels is examined. We consider both the Rician and the lognormal channels. Bit error probability upper bounds on fully-interleaved (zero-memory) fading channels are derived and substantiated by computer simulation. It is shown that the resulting coded system performance is a relatively insensitive function of the choice of channel model provided that the channel parameters are related according to the correspondence developed as part of this paper. Finally, a comparison of DPSK with a number of other modulation strategies is provided. Shou Y. Mui, James W. Modestino |
IEEE Trans. Commun. | 1 |
| 1976 | Convolutional Code Performance in the Rician Fading ChannelabstractThe performance of short constraint length convolutional codes in conjunction with binary phase-shift keyed (BPSK) modulation and Viterbi maximum likelihood decoding on the classical Rician fading channel is examined in detail. Primary interest is in the bit error probability performance as a function ofE_{b}/N_{0}parameterized by the fading channel parameters. Fairly general upper bounds on bit error probability performance in the presence of fading are obtained and compared with simulation results in the two extremes of zero channel memory and infinite channel memory. The efficacy of simple block interleaving in combating the memory of the channel is thoroughly explored. Results include the effects of fading on tracking loop performance and the subsequent impact on overall coded system performance. The approach is analytical where possible; otherwise resort is made to digital computer simulation. James W. Modestino, Shou Y. Mui |
IEEE Trans. Commun. | 2 |