Demo Data from EDBT 2026 / reviewers in the wild / expert
Aydano B. Carleial
dblp:20/2142
· DBLP profile ↗
6ranked-venue papers
6as first author
0since 2021 · last 1983
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 5 · 5 first-authorComputer networks · 1 · 1 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.
| Theoretical computer science
5 papers |
Information theory · 85% Coding theory · 15% | |
| Computer networks
4 papers |
Physical-layer communications · 79% Wireless networking · 14% Network performance modeling · 7% |
Topics — the 17 heaviest of 17, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Information theory
channel capacity |
0.0 | 5 | 1983 | Outer bounds on the capacity of interference channels · IEEE Trans. Inf. Theory 1983 Multiple-access channels with different generalized feedback signals · IEEE Trans. Inf. Theory 1982 Interference channels · IEEE Trans. Inf. Theory 1978 |
Physical-layer communications › channel modeling › gaussian channel
AWGN channel |
0.0 | 3 | 1983 | Outer bounds on the capacity of interference channels · IEEE Trans. Inf. Theory 1983 Interference channels · IEEE Trans. Inf. Theory 1978 A case where interference does not reduce capacity (Corresp.) · IEEE Trans. Inf. Theory 1975 |
Physical-layer communications
channel modeling |
0.0 | 3 | 1983 | Outer bounds on the capacity of interference channels · IEEE Trans. Inf. Theory 1983 Interference channels · IEEE Trans. Inf. Theory 1978 A case where interference does not reduce capacity (Corresp.) · IEEE Trans. Inf. Theory 1975 |
Information theory › network information theory
interference channel |
0.0 | 3 | 1983 | Outer bounds on the capacity of interference channels · IEEE Trans. Inf. Theory 1983 Interference channels · IEEE Trans. Inf. Theory 1978 A case where interference does not reduce capacity (Corresp.) · IEEE Trans. Inf. Theory 1975 |
Information theory › channel capacity › capacity bounds
outer bound |
0.0 | 1 | 1983 | Outer bounds on the capacity of interference channels · IEEE Trans. Inf. Theory 1983 |
Coding theory
coding scheme |
0.0 | 1 | 1982 | Multiple-access channels with different generalized feedback signals · IEEE Trans. Inf. Theory 1982 |
Information theory › channel capacity
feedback capacity |
0.0 | 1 | 1982 | Multiple-access channels with different generalized feedback signals · IEEE Trans. Inf. Theory 1982 |
Information theory › network information theory
multiple-access channel |
0.0 | 1 | 1982 | Multiple-access channels with different generalized feedback signals · IEEE Trans. Inf. Theory 1982 |
Coding theory › channel coding
superposition coding |
0.0 | 1 | 1982 | Multiple-access channels with different generalized feedback signals · IEEE Trans. Inf. Theory 1982 |
Information theory › communication channels
channel models |
0.0 | 3 | 1983 | Outer bounds on the capacity of interference channels · IEEE Trans. Inf. Theory 1983 Multiple-access channels with different generalized feedback signals · IEEE Trans. Inf. Theory 1982 Interference channels · IEEE Trans. Inf. Theory 1978 |
Information theory › channel capacity
capacity region |
0.0 | 1 | 1978 | Interference channels · IEEE Trans. Inf. Theory 1978 |
Information theory › communication channels › channel models
discrete memoryless channel |
0.0 | 2 | 1983 | Outer bounds on the capacity of interference channels · IEEE Trans. Inf. Theory 1983 Interference channels · IEEE Trans. Inf. Theory 1978 |
Wireless networking › random access
ALOHA |
0.0 | 1 | 1975 | Bistable Behavior of ALOHA-Type Systems · IEEE Trans. Commun. 1975 |
Network performance modeling › network dynamics
bistable behavior |
0.0 | 1 | 1975 | Bistable Behavior of ALOHA-Type Systems · IEEE Trans. Commun. 1975 |
Wireless networking
medium access control |
0.0 | 1 | 1975 | Bistable Behavior of ALOHA-Type Systems · IEEE Trans. Commun. 1975 |
Information theory › network information theory › interference channel
strong interference |
0.0 | 1 | 1975 | A case where interference does not reduce capacity (Corresp.) · IEEE Trans. Inf. Theory 1975 |
Information theory › network information theory › interference channel
generalized feedback |
0.0 | 1 | 1982 | Multiple-access channels with different generalized feedback signals · IEEE Trans. Inf. Theory 1982 |
Methods — techniques the papers use, named apart from their topics
outer bound derivation · 0.0superposition coding · 0.0linear superposition · 0.0capacity region bounds · 0.0capacity region analysis · 0.0achievable rate region · 0.0rate splitting · 0.0information-theoretic security analysis · 0.0dynamic stability analysis · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1983 | Outer bounds on the capacity of interference channelsabstractNew outer bounds are demonstrated for the capacity regions of discrete memoryless interference channels and Gaussian interference channels. The bound for discrete channels coincides with the capacity region in special cases. The bound for Gaussian channels improves previous knowledge when the interference is of medium strength. Aydano B. Carleial |
IEEE Trans. Inf. Theory | 1 |
| 1982 | Multiple-access channels with different generalized feedback signalsabstractThis paper is concerned with a communication channel with two senders and one receiver, in which each sender observes a private feedback signal. The two feedback signals are not necessarily equivalent to or derived from the signal observed by the receiver. An achievable rate region is demonstrated for this multiple-access channel by means of a new superposition coding scheme. In particular it is shown that a rate region, previously obtained for the multiple-access channel with "perfect" feedback to both senders, remains achievable when the feedback connection to one of the senders is eliminated. Aydano B. Carleial |
IEEE Trans. Inf. Theory | 1 |
| 1978 | Interference channelsabstractAn interference channel is a communication medium shared by M sender-receiver pairs. Transmission of information from each sender to its corresponding receiver interferes with the communications between the other senders and their receivers. This corresponds to a frequent situation in communications, and defines anM-dimensional capacity region. In this paper, we obtain general bounds on the capacity region for discrete memoryless interference channels and for linear-superposition interference channels with additive white Gaussian noise. The capacity region is determined in special cases. Aydano B. Carleial |
IEEE Trans. Inf. Theory | 1 |
| 1977 | A note on Wyner's wiretap channel (Corresp.)abstractWyner recently introduced the concept of a wiretap channel and showed that by transmitting at a rate less than capacity on the main link it was possible to keep the wiretapper's information about the entire message equal to zero. It is shown that it is possible to send at capacity on the main link and still keep the wiretapper's information equal to zero on many, large, arbitrary portions of the message. Aydano B. Carleial, Martin E. Hellman |
IEEE Trans. Inf. Theory | 1 |
| 1975 | Bistable Behavior of ALOHA-Type SystemsabstractPacket switching has found widespread application in computer communications because of its ability to efficiently handle high ratios of peak-to-average data rate. Packet radio is the application of packet switching techniques to radio channels. The resultant multiple-access problem requires novel approaches. Such approaches have been developed by others and have primarily been analyzed in steady-state behavior. This paper demonstrates and analyzes an important aspect of the dynamic characteristics of packet radio, namely, that of bistable behavior. That is, the system possesses two statistically stable equilibrium points, one in a desirable low-delay region, and the other in an undesirable high-delay region. Since the stability is only statistical in nature, the system oscillates between these two points. Even if the resultant steady-state behavior is very poor, this dynamic analysis frequently shows that system performance will be acceptable. This is due to quiet periods (such as at night) which allow the system to recover. Aydano B. Carleial, Martin E. Hellman |
IEEE Trans. Commun. | 1 |
| 1975 | A case where interference does not reduce capacity (Corresp.)abstractIt is shown that, under certain conditions, two strongly interfering communication links with additive white Gaussian noise can achieve rates as high as would be achievable without this interference. Aydano B. Carleial |
IEEE Trans. Inf. Theory | 1 |