User Localization Enabled Ultra-dense Network Testbed

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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User Localization Enabled Ultra-dense Network Testbed. / Malm, Nicolas; Zhou, Liang; Menta, Estifanos; Ruttik, Kalle; Jäntti, Riku; Tirkkonen, Olav; Costa, Mario; Leppänen, Kari.

IEEE 5G World Forum, 5GWF 2018 - Conference Proceedings. Institute of Electrical and Electronics Engineers, 2018. p. 405-409 8517071.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Harvard

Malm, N, Zhou, L, Menta, E, Ruttik, K, Jäntti, R, Tirkkonen, O, Costa, M & Leppänen, K 2018, User Localization Enabled Ultra-dense Network Testbed. in IEEE 5G World Forum, 5GWF 2018 - Conference Proceedings., 8517071, Institute of Electrical and Electronics Engineers, pp. 405-409, IEEE 5G World Forum, Santa Clara, United States, 09/07/2018. https://doi.org/10.1109/5GWF.2018.8517071

APA

Malm, N., Zhou, L., Menta, E., Ruttik, K., Jäntti, R., Tirkkonen, O., ... Leppänen, K. (2018). User Localization Enabled Ultra-dense Network Testbed. In IEEE 5G World Forum, 5GWF 2018 - Conference Proceedings (pp. 405-409). [8517071] Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/5GWF.2018.8517071

Vancouver

Malm N, Zhou L, Menta E, Ruttik K, Jäntti R, Tirkkonen O et al. User Localization Enabled Ultra-dense Network Testbed. In IEEE 5G World Forum, 5GWF 2018 - Conference Proceedings. Institute of Electrical and Electronics Engineers. 2018. p. 405-409. 8517071 https://doi.org/10.1109/5GWF.2018.8517071

Author

Malm, Nicolas ; Zhou, Liang ; Menta, Estifanos ; Ruttik, Kalle ; Jäntti, Riku ; Tirkkonen, Olav ; Costa, Mario ; Leppänen, Kari. / User Localization Enabled Ultra-dense Network Testbed. IEEE 5G World Forum, 5GWF 2018 - Conference Proceedings. Institute of Electrical and Electronics Engineers, 2018. pp. 405-409

Bibtex - Download

@inproceedings{bbefe04acd9340d79ada01e3e4945b9d,
title = "User Localization Enabled Ultra-dense Network Testbed",
abstract = "We present an over-the-air testbed designed for assessing the performance of ultra-dense networks and related mobility management schemes based on tracking the location of user equipment. Location information of UEs at the physical layer of the radio access network allows for proactive and seamless handovers. This is particularly important for 5G ultra-dense networks where small cells may otherwise be overwhelmed by handover related signalling. We exploit sounding reference signals transmitted by UEs to track their location. Novel mobility management schemes can then be designed such that handover triggering is done by the network and without UE involvement. In current cellular networks, handover is triggered by downlink measurements carried out at the UE, and subsequent reporting. This work also validates our testbed's proof-of-concept software architecture based on stateless unordered worker threads. In particular, a Cloud-RAN of up to four radio transceiver points can be combined into a network overseen by one gNB. Also, dataplane support allows for experimentation with real-time data handovers. The obtained results demonstrate the feasibility of location-based handover schemes as a tool for future cellular network design.",
keywords = "location based handover, low-latency, SDR, UDN",
author = "Nicolas Malm and Liang Zhou and Estifanos Menta and Kalle Ruttik and Riku J{\"a}ntti and Olav Tirkkonen and Mario Costa and Kari Lepp{\"a}nen",
year = "2018",
month = "10",
day = "31",
doi = "10.1109/5GWF.2018.8517071",
language = "English",
pages = "405--409",
booktitle = "IEEE 5G World Forum, 5GWF 2018 - Conference Proceedings",
publisher = "Institute of Electrical and Electronics Engineers",
address = "United States",

}

RIS - Download

TY - GEN

T1 - User Localization Enabled Ultra-dense Network Testbed

AU - Malm, Nicolas

AU - Zhou, Liang

AU - Menta, Estifanos

AU - Ruttik, Kalle

AU - Jäntti, Riku

AU - Tirkkonen, Olav

AU - Costa, Mario

AU - Leppänen, Kari

PY - 2018/10/31

Y1 - 2018/10/31

N2 - We present an over-the-air testbed designed for assessing the performance of ultra-dense networks and related mobility management schemes based on tracking the location of user equipment. Location information of UEs at the physical layer of the radio access network allows for proactive and seamless handovers. This is particularly important for 5G ultra-dense networks where small cells may otherwise be overwhelmed by handover related signalling. We exploit sounding reference signals transmitted by UEs to track their location. Novel mobility management schemes can then be designed such that handover triggering is done by the network and without UE involvement. In current cellular networks, handover is triggered by downlink measurements carried out at the UE, and subsequent reporting. This work also validates our testbed's proof-of-concept software architecture based on stateless unordered worker threads. In particular, a Cloud-RAN of up to four radio transceiver points can be combined into a network overseen by one gNB. Also, dataplane support allows for experimentation with real-time data handovers. The obtained results demonstrate the feasibility of location-based handover schemes as a tool for future cellular network design.

AB - We present an over-the-air testbed designed for assessing the performance of ultra-dense networks and related mobility management schemes based on tracking the location of user equipment. Location information of UEs at the physical layer of the radio access network allows for proactive and seamless handovers. This is particularly important for 5G ultra-dense networks where small cells may otherwise be overwhelmed by handover related signalling. We exploit sounding reference signals transmitted by UEs to track their location. Novel mobility management schemes can then be designed such that handover triggering is done by the network and without UE involvement. In current cellular networks, handover is triggered by downlink measurements carried out at the UE, and subsequent reporting. This work also validates our testbed's proof-of-concept software architecture based on stateless unordered worker threads. In particular, a Cloud-RAN of up to four radio transceiver points can be combined into a network overseen by one gNB. Also, dataplane support allows for experimentation with real-time data handovers. The obtained results demonstrate the feasibility of location-based handover schemes as a tool for future cellular network design.

KW - location based handover

KW - low-latency

KW - SDR

KW - UDN

UR - http://www.scopus.com/inward/record.url?scp=85057107742&partnerID=8YFLogxK

U2 - 10.1109/5GWF.2018.8517071

DO - 10.1109/5GWF.2018.8517071

M3 - Conference contribution

SP - 405

EP - 409

BT - IEEE 5G World Forum, 5GWF 2018 - Conference Proceedings

PB - Institute of Electrical and Electronics Engineers

ER -

ID: 30254177