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Jukka Talvitie

Researcher at Tampere University of Technology

Publications -  32
Citations -  507

Jukka Talvitie is an academic researcher from Tampere University of Technology. The author has contributed to research in topics: Computer science & Engineering. The author has an hindex of 10, co-authored 14 publications receiving 396 citations.

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Journal ArticleDOI

Distance-Based Interpolation and Extrapolation Methods for RSS-Based Localization With Indoor Wireless Signals

TL;DR: It is shown that both the horizontal positioning accuracy and the floor detection probability can be improved with proper interpolation and extrapolation methods, and it is also illustrated that the best positioning performance is not necessarily achieved with the best average interpolationand extrapolation accuracy.
Journal ArticleDOI

Radio Interface Evolution Towards 5G and Enhanced Local Area Communications

TL;DR: The new design of WLAN 802.11ax can significantly reduce the latency of the system, and offer increased sleeping opportunities on both base station and user equipment sides leading to enhanced power savings, and is able to improve the channel utilization when compared with LTE-A.
Proceedings ArticleDOI

WLAN and RFID Propagation channels for hybrid indoor positioning

TL;DR: The purpose of this paper is to address the path-loss channel models and shadowing effects for WLAN and RFID signals based on extensive measurement campaigns in an office environment, and to envision a near future where multiple RFID and WLAN signals will co-exist on multiple frequency bands.
Journal ArticleDOI

Hybrid WLAN-RFID Indoor Localization Solution Utilizing Textile Tag

TL;DR: In this article, the authors presented a novel hybrid configuration for indoor positioning, utilizing the passive radio frequency identification (RFID) and wireless local area network (WLAN), based on a mobile device with a WLAN receiver, a textile RFID tag and one or several RFID readers communicating with the mobile.
Proceedings ArticleDOI

Performance Enhancement and Evaluation of IEEE 802.11ah Multi-Access Point Network Using Restricted Access Window Mechanism

TL;DR: An extensive analysis of the performance evaluation and enhancement study of the IEEE 802.11ah network when multi-access points (multi-APs) with relatively high number of associated stations (STAs) are considered, which confirms the importance of the Restricted Access Window mechanism to improve substantially the overall system performance.