Learning Centre

Adaptive Physical Layer Selection for Bluetooth 5: Measurements and Simulations

 |  Login

Show simple item record

dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Sheikh, Muhammad Usman
dc.contributor.author Badihi, Behnam
dc.contributor.author Ruttik, Kalle
dc.contributor.author Jäntti, Riku
dc.date.accessioned 2021-02-02T09:09:45Z
dc.date.available 2021-02-02T09:09:45Z
dc.date.issued 2021-01-06
dc.identifier.citation Sheikh , M U , Badihi , B , Ruttik , K & Jäntti , R 2021 , ' Adaptive Physical Layer Selection for Bluetooth 5: Measurements and Simulations ' , Wireless Communications and Mobile Computing , vol. 2021 , 8842919 . https://doi.org/10.1155/2021/8842919 en
dc.identifier.issn 1530-8669
dc.identifier.other PURE UUID: 173ef37a-4b23-4adc-a746-bb24ed708337
dc.identifier.other PURE ITEMURL: https://research.aalto.fi/en/publications/173ef37a-4b23-4adc-a746-bb24ed708337
dc.identifier.other PURE LINK: http://www.scopus.com/inward/record.url?scp=85099654189&partnerID=8YFLogxK
dc.identifier.other PURE FILEURL: https://research.aalto.fi/files/55668041/Adaptive_Physical_Layer_Selection_for_Bluetooth.pdf
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/102557
dc.description.abstract The main target of this article is to propose a simple Received Signal Strength Indicator- (RSSI-) based adaptive Physical Layer (PHY) selection approach for Bluetooth Low Energy 5.0 (BLE 5) and compare the performance of adaptive PHY selection with the performance of individual PHY. This article also validates the simulation results acquired from the in-house developed Ray Tracing (RT) tool with the BLE 5 measurements conducted in a corridor of the TUAS building, Aalto University. The performance metrics considered for the analysis are RSSI, throughput, and outage ratio. The impact of different transmission power on BLE 5 is also analyzed. The obtained simulation results indicate a Root Mean Square Error (RMSE) of about 4.6 dB between the measured and the simulated RSSI at 2.4 GHz frequency. By investigating these results, an adaptive PHY selection algorithm is proposed in this article. The adaptive PHY selection approach enhances the mean throughput of the system and improves the outage ratio as well. In the light of acquired results, the adaptive PHY selection scheme shows significant performance gain and is found more beneficial in the case of an environment with mixed RSSI samples, i.e., a mix of low and high RSSI values. en
dc.format.extent 10
dc.format.mimetype application/pdf
dc.language.iso en en
dc.publisher John Wiley and Sons Ltd
dc.relation.ispartofseries Wireless Communications and Mobile Computing en
dc.relation.ispartofseries Volume 2021 en
dc.rights openAccess en
dc.title Adaptive Physical Layer Selection for Bluetooth 5: Measurements and Simulations en
dc.type A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä fi
dc.description.version Peer reviewed en
dc.contributor.department Department of Communications and Networking
dc.identifier.urn URN:NBN:fi:aalto-202102021859
dc.identifier.doi 10.1155/2021/8842919
dc.type.version publishedVersion

Files in this item

Files Size Format View

There are no open access files associated with this item.

This item appears in the following Collection(s)

Show simple item record

Search archive

Advanced Search

article-iconSubmit a publication