Demo Data from EDBT 2026 / reviewers in the wild / expert
Johan Lassing
dblp:07/4671
· DBLP profile ↗
5ranked-venue papers
2as first author
0since 2021 · last 2007
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Theory of computation · 2Computer networks · 1 · 1 first-authorApplied, interdisciplinary, general and emerging computing · 1
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
3 papers |
Physical-layer communications · 100% | |
| Theoretical computer science
3 papers |
Coding theory · 100% |
Topics — the 6 heaviest of 6, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Physical-layer communications › error probability analysis
bit error rate analysis |
0.2 | 3 | 2007 | Gray Coding for Multilevel Constellations in Gaussian Noise · IEEE Trans. Inf. Theory 2007 On the optimality of the binary reflected Gray code · IEEE Trans. Inf. Theory 2004 Computation of the exact bit-error rate of coherent M-ary PSK with Gray code bit mapping · IEEE Trans. Commun. 2003 |
Physical-layer communications › modulation
coded modulation |
0.1 | 2 | 2007 | Gray Coding for Multilevel Constellations in Gaussian Noise · IEEE Trans. Inf. Theory 2007 On the optimality of the binary reflected Gray code · IEEE Trans. Inf. Theory 2004 |
Coding theory › error-correcting codes › coded modulation
constellation labeling |
0.1 | 2 | 2007 | Gray Coding for Multilevel Constellations in Gaussian Noise · IEEE Trans. Inf. Theory 2007 On the optimality of the binary reflected Gray code · IEEE Trans. Inf. Theory 2004 |
Coding theory › error-correcting codes › combinatorial coding theory
gray codes |
0.1 | 2 | 2007 | Gray Coding for Multilevel Constellations in Gaussian Noise · IEEE Trans. Inf. Theory 2007 Computation of the exact bit-error rate of coherent M-ary PSK with Gray code bit mapping · IEEE Trans. Commun. 2003 |
Physical-layer communications
modulation |
0.0 | 1 | 2003 | Computation of the exact bit-error rate of coherent M-ary PSK with Gray code bit mapping · IEEE Trans. Commun. 2003 |
Physical-layer communications › modulation › phase-shift keying
MPSK |
0.0 | 1 | 2003 | Computation of the exact bit-error rate of coherent M-ary PSK with Gray code bit mapping · IEEE Trans. Commun. 2003 |
Methods — techniques the papers use, named apart from their topics
closed-form analysis · 0.1recursive construction · 0.1expansion method · 0.1analytical derivation · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2007 | Gray Coding for Multilevel Constellations in Gaussian NoiseabstractThe problem of finding the optimal labeling (bit-to-symbol mapping) of multilevel coherent phase shift keying (PSK), pulse amplitude modulation (PAM), and quadrature amplitude modulation (QAM) constellations with respect to minimizing the bit-error probability (BEP) over a Gaussian channel is addressed. We show that using the binary reflected Gray code (BRGC) to label the signal constellation results in the lowest possible BEP for high enough signal energy-to-noise ratios and analyze what is "high enough" in this sense. It turns out that the BRGC is optimal for PSK and PAM systems whenever the target BEP is at most a few percent, which covers most systems of practical interest. New and simple closed-form expressions are presented for the BEP of PSK, PAM, and QAM using the BRGC Erik Agrell, Johan Lassing, Erik G. Ström, Tony Ottosson |
IEEE Trans. Inf. Theory | 2 |
| 2004 | The binary reflected Gray code is optimal for M-PSKabstractThis paper is concerned with the problem of selecting a binary labeling for the signal constellation in an M-PSK communication system. A good starting point is labelings having the Gray property, but this is not altogether enough, since the number of distinct Gray labelings that result in different bit error probability grows rapidly with increasing constellation size. By introducing a recursive Gray labeling construction method called expansion, the paper answers the natural question of what labeling, among all possible constellation labelings (not only Gray), that will give the lowest possible average probability of bit errors. Under certain assumptions on the channel, the answer is that the labeling originally proposed by Gray, the binary reflected Gray code, is the optimal labeling for M-PSK systems, which has, surprisingly, never been proved before. Erik Agrell, Johan Lassing, Erik G. Ström, Tony Ottosson |
ISIT | 2 |
| 2004 | On the optimality of the binary reflected Gray codeabstractThis paper concerns the problem of selecting a binary labeling for the signal constellation in M-PSK, M-PAM, and M-QAM communication systems. Gray labelings are discussed and the original work by Frank Gray is analyzed. As is noted, the number of distinct Gray labelings that result in different bit-error probability grows rapidly with increasing constellation size. By introducing a recursive Gray labeling construction method called expansion, the paper answers the natural question of what labeling, among all possible constellation labelings, will give the lowest possible average probability of bit errors for the considered constellations. Under certain assumptions on the channel, the answer is that the labeling proposed by Gray, the binary reflected Gray code, is the optimal labeling for all three constellations, which has, surprisingly, never been proved before. Erik Agrell, Johan Lassing, Erik G. Ström, Tony Ottosson |
IEEE Trans. Inf. Theory | 2 |
| 2003 | Computation of the exact bit-error rate of coherent M-ary PSK with Gray code bit mappingabstractThe problem of calculating the average bit-error probability (BEP) of coherent M-ary phase-shift keying (PSK) over a Gaussian channel has been studied previously in the literature. A solution to the problem for systems using a binary reflected Gray code (BRGC) to map bits to symbols was first presented by P.J. Lee (see ibid., vol.COM-34, p.488-91, 1986). We show that the results obtained by Lee are incorrect for M/spl ges/16. We show that the reason for this is an invalid assumption that the bit-error rate (BER) is independent of the transmitted symbols, an assumption which has also propagated to textbooks. We give a new expression for the BER of M-PSK systems using the BRGC and compare this with Lee's results. Johan Lassing, Erik G. Ström, Erik Agrell, Tony Ottosson |
IEEE Trans. Commun. | 1 |
| 2001 | On the union bound applied to convolutional codesabstractTo evaluate the performance of a convolutional code it is common to use a union bound on either the bit-error rate or the first-event error rate. Since these bounds are given as infinite sums they must be truncated to be evaluated. However, as the tail of the infinite sum is discarded, the upper bound turns into an approximation. Two methods to evaluate the union bound while taking the summation tail into account and thus maintaining the upper bound are described. The first method is based on a state matrix description of the convolutional encoder, while the second method is based on the transfer function. Results are given that compare the upper bounds and the truncated bound (approximation) to computer simulations. The standard rule-of-thumb that the union bound is tight as long as the error rates are below 10/sup -3/ is readily seen to be valid. Johan Lassing, Tony Ottosson, Erik G. Ström |
VTC Fall | 1 |