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Gunnarsson, Johan
Publications (2 of 2) Show all publications
Pappas, N., Gunnarsson, J., Kratz, L., Kountouris, M. & Angelakis, V. (2015). Age of Information of Multiple Sources with Queue Management. In: 2015 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC): . Paper presented at IEEE International Conference on Communications (ICC) (pp. 5935-5940). IEEE
Open this publication in new window or tab >>Age of Information of Multiple Sources with Queue Management
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2015 (English)In: 2015 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC), IEEE , 2015, p. 5935-5940Conference paper, Published paper (Refereed)
Abstract [en]

We consider a system of multiple sources generating status update packets, which need to be sent by a single transmitter to a destination over a network. In the model we study, the packet generation time may vary at each source, and the packets go through the network with a random delay. Each update carries a time stamp of its generation, allowing the destination to calculate for each source the so called Age of Information, which measures the timeliness of each status update arriving. Considering that queuing delay can unnecessarily increase the age of a critical status update, we propose here a queue management technique, in which we maintain a queue with only the latest status packet of each source, overwriting any previously queued update from that source. This simple technique drastically limits the need for buffering and can be applied in systems where the history of source status is not relevant. We show that this scheme results in significantly less transmissions compared to the standard M/M/1 queue model. Furthermore, the proposed technique reduces the per source age of information, especially in settings not using queue management with high status update generation rates.

Place, publisher, year, edition, pages
IEEE, 2015
IEEE International Conference on Communications, ISSN 1550-3607
National Category
Civil Engineering
urn:nbn:se:liu:diva-127295 (URN)10.1109/ICC.2015.7249268 (DOI)000371708106026 ()978-1-4673-6432-4 (ISBN)
IEEE International Conference on Communications (ICC)
Available from: 2016-04-20 Created: 2016-04-19 Last updated: 2019-05-09
Rudner, M., Karlsson, T., Gunnarsson, J. & Rönnberg, J. (2013). Levels of processing and language modality specificity in working memory. Neuropsychologia, 51(4), 656-666
Open this publication in new window or tab >>Levels of processing and language modality specificity in working memory
2013 (English)In: Neuropsychologia, ISSN 0028-3932, E-ISSN 1873-3514, Vol. 51, no 4, p. 656-666Article in journal (Refereed) Published
Abstract [en]

Neural networks underpinning working memory demonstrate sign language specific components possibly related to differences in temporary storage mechanisms. A processing approach to memory systems suggests that the organisation of memory storage is related to type of memory processing as well. In the present study, we investigated for the first time semantic, phonological and orthographic processing in working memory for sign- and speech-based language. During fMRI we administered a picture-based 2-back working memory task with Semantic, Phonological, Orthographic and Baseline conditions to 11 deaf signers and 20 hearing non-signers. Behavioural data showed poorer and slower performance for both groups in Phonological and Orthographic conditions than in the Semantic condition, in line with depth-of-processing theory. An exclusive masking procedure revealed distinct sign-specific neural networks supporting working memory components at all three levels of processing. The overall pattern of sign-specific activations may reflect a relative intermodality difference in the relationship between phonology and semantics influencing working memory storage and processing.

Place, publisher, year, edition, pages
Elsevier, 2013
Sign language; Speech; Working memory; Levels of processing; fMRI; Semantic; Phonological; Orthographic
National Category
Social Sciences
urn:nbn:se:liu:diva-91770 (URN)10.1016/j.neuropsychologia.2012.12.011 (DOI)000317257600009 ()
Available from: 2013-05-01 Created: 2013-05-01 Last updated: 2017-12-06

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