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Jarkko Huusko

dblp:156/1775 · DBLP profile ↗
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2ranked-venue papers
2as first author
0since 2021 · last 2014
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 2 · 2 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
1 paper
Physical-layer communications · 100%
Theoretical computer science
1 paper
Coding theory · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications › receiver design › multi-antenna receiver
MIMO receivers
0.212014
A Semianalytical Performance Prediction Method for an Iterative MIMO MMSE Receiver With Forward and Backward Error Control · IEEE Trans. Commun. 2014
Coding theory › channel coding
turbo codes
0.112014
A Semianalytical Performance Prediction Method for an Iterative MIMO MMSE Receiver With Forward and Backward Error Control · IEEE Trans. Commun. 2014

Methods — techniques the papers use, named apart from their topics

semianalytical performance prediction · 0.4EXIT charts · 0.4
YearPublicationVenuePosition
2014 Predicting the performance of an iterative MIMO MMSE receiver with vertical encoding
abstract
This paper proposes a semi-analytical performance prediction method for an iterative receiver that processes signals arriving through a frequency selective multiple-input multiple-output radio channel. Earlier results provide a distribution of the signal-to-interference-and-noise ratio at the output of a frequency-domain soft-cancellation minimum mean square error equalizer, which is subsequently used to approximate the distribution of the log-likelihood ratios (LLRs) of the demapped bits. Extrinsic information transfer (EXIT) charts establish a bijective relationship between the variance of the LLRs and mutual information. We use an approximate distribution of the equalizer/demapper output's LLR variance to estimate the probability of an intersection between the decoder and equalizer graphs. The probability provides a good estimate of the frame error rate.
Jarkko Huusko, Juha Pyhtila, Markku Juntti
GLOBECOM1
2014 A Semianalytical Performance Prediction Method for an Iterative MIMO MMSE Receiver With Forward and Backward Error Control
abstract
This paper proposes a semianalytical performance prediction method for an iterative receiver that processes signals arriving through a frequency-selective multiple-input multiple-output radio channel. Earlier results provide a distribution of the signal-to-interference-plus-noise ratio at the output of a frequency domain soft interference cancellation minimum mean square error equalizer, which is used to approximate the distribution of the log-likelihood ratios (LLRs) of the demapped bits. Mutual information transfer charts establish a bijective relationship between the variance of the LLRs and the mutual information. We assume a 3rd Generation Partnership Project compliant turbo code, whose transfer charts are simulated in advance. By approximating the LLR variance distribution of the demapped equalizer output, we can evaluate the probability of an intersection between an equalizer chart associated with a random channel realization and a fixed decoder chart. This probability provides the frame error rate. Our proposed prediction method allows horizontally and vertically encoded spatial multiplexing schemes. The vertically encoded scheme is complemented by the inclusion of the Chase combining hybrid automatic repeat request protocol. The proposed method allows reasonable receive antenna correlation.
Jarkko Huusko, Juha Pyhtila, Markku Juntti
IEEE Trans. Commun.1