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Jonas Olsson 0001

dblp:33/1166 · also Jonas M. Olsson · DBLP profile ↗
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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

TopicWeightPapersLastEvidence papers
Coding theory › error-correcting codes
algebraic coding theory
0.012000
On a sequence of cyclic codes with minimum distance six · IEEE Trans. Inf. Theory 2000
Coding theory › error-correcting codes
cyclic codes
0.012000
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
0.012000
On a sequence of cyclic codes with minimum distance six · IEEE Trans. Inf. Theory 2000
Algorithms and data structures
classification
0.011999
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
0.011999
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
0.011999
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
0.011999
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
YearPublicationVenuePosition
2022 Statistical approach to channel state reporting for URLLC
abstract
For 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 Spring2
2000 On a sequence of cyclic codes with minimum distance six
abstract
A 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. Theory2
1999 A characterization of certain Griesmer codes: MMD codes in a more general sense
abstract
Let 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. Theory1