Demo Data from EDBT 2026 / reviewers in the wild / expert
Jonas Olsson 0001
dblp:33/1166 · also Jonas M. Olsson
· DBLP profile ↗
3ranked-venue papers
1as first author
1since 2021 · last 2022
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 2 · 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
2 papers |
Coding theory · 87% Algorithms and data structures · 13% |
Topics — the 7 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Coding theory › error-correcting codes
algebraic coding theory |
0.0 | 1 | 2000 | On a sequence of cyclic codes with minimum distance six · IEEE Trans. Inf. Theory 2000 |
Coding theory › error-correcting codes
cyclic codes |
0.0 | 1 | 2000 | On a sequence of cyclic codes with minimum distance six · IEEE Trans. Inf. Theory 2000 |
Coding theory › error-correcting codes › block codes › linear code
dual code |
0.0 | 1 | 2000 | On a sequence of cyclic codes with minimum distance six · IEEE Trans. Inf. Theory 2000 |
Algorithms and data structures
classification |
0.0 | 1 | 1999 | A characterization of certain Griesmer codes: MMD codes in a more general sense · IEEE Trans. Inf. Theory 1999 |
Coding theory › error-correcting codes › block codes › linear code › code parameters › optimal linear codes
griesmer codes |
0.0 | 1 | 1999 | A characterization of certain Griesmer codes: MMD codes in a more general sense · IEEE Trans. Inf. Theory 1999 |
Coding theory › error-correcting codes › block codes
linear code |
0.0 | 1 | 1999 | A characterization of certain Griesmer codes: MMD codes in a more general sense · IEEE Trans. Inf. Theory 1999 |
Coding theory › distributed storage › distributed storage codes
MMD code |
0.0 | 1 | 1999 | A characterization of certain Griesmer codes: MMD codes in a more general sense · IEEE Trans. Inf. Theory 1999 |
Methods — techniques the papers use, named apart from their topics
finite field analysis · 0.0weight distribution analysis · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | Statistical approach to channel state reporting for URLLCabstractFor 5G New Radio services with the requirement of high reliability and low latency, the HARQ loop can only afford one or a couple of retransmissions within the latency bound, or none at all, depending on the system configuration. In response to such stringent demand on the link adaptation algorithm, improved algorithms for predicting or estimating downlink channel conditions are desired. This paper describes the problem and proposes a solution where channel state statistics are reported by user equipment to aid the base station for more accurate downlink scheduling. Simulation results are provided to demonstrate the benefit of the new approach. Alexey Shapin, Jonas Olsson 0001, Yufei W. Blankenship, Niklas Andgart |
VTC Spring | 2 |
| 2000 | On a sequence of cyclic codes with minimum distance sixabstractA sequence of q-ary cyclic codes is considered. For each finite field GF(q), q/spl ges/4, there is a code with parameters [n, k, d; q]=[q(q-1)+1, q(q-1)-6, 6; q]. We show that all these codes are n-, k-, and d-optimal, with only one exception. Also the dual codes are considered. Their true minimum distances are calculated in the range 4/spl les/q/spl les/32. Danyo Danev, Jonas Olsson 0001 |
IEEE Trans. Inf. Theory | 2 |
| 1999 | A characterization of certain Griesmer codes: MMD codes in a more general senseabstractLet C be an [n,k,d]/sub q/ linear code. The defect of C is the parameter s=s(C)=n-k+1-d. If k/spl ges/m+1/spl ges/2 then by the Griesmer bound d/spl les/(q/sup m/(q-1)/q/sub m/-1)(s+m). The author's interest is in those linear codes having the maximum minimum distance, i.e., d=(q/sup m/(q-1)/q/sup m/-1)(s+m). For m=1 we have d=q(s+1) and the codes are maximum minimum distance (MMD) codes in the sense of Faldum and Willems (see ibid., vol.44, p.1555-58, 1998). Thus we consider MMD codes in a more general sense. We refer to them simply as MMD codes. All MMD codes with m=1 are known up to formal equivalence. Note that two codes are formally equivalent if they have the same weight distribution. The author classifies up to formal equivalence the MMD codes with m/spl ges/2. Jonas Olsson 0001, Wolfgang Willems |
IEEE Trans. Inf. Theory | 1 |