J. Saloranta, G. Destino and H. Wymeersch, "Comparison of different beamtraining strategies from a rate-positioning trade-off perspective," 2017 European Conference on Networks and Communications (EuCNC), Oulu, 2017, pp. 1-5. doi: 10.1109/EuCNC.2017.7980738
Comparison of different beamtraining strategies from a rate-positioning trade-off perspective
|Author:||Saloranta, Jani1; Destino, Giuseppe1; Wymeersch, Henk2|
1University of Oulu
2Chalmers University of Technology
|Online Access:||PDF Full Text (PDF, 0.2 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2018051824221
Institute of Electrical and Electronics Engineers,
|Publish Date:|| 2018-05-18
In next generation of mobile networks, the 5G, millimeter-wave communication is considered one of the key technologies. It allows high data rate as well as the utilization of large antennas for massive multiple-input-multiple-output (MIMO) and beamforming. However, it is mandatory that transmitter and receiver perform a training of their beams in order to gain all the beneﬁts of a large array gain. In this paper, we study the impact of the beamtraining overhead on the data rate when an exhaustive or hierarchical strategy is used. Also, we show that the beamtraining phase can be used for positioning and, in this regard, we study the trade-off between positioning and data rate.
European Conference on Networks and Communications
2017 European Conference on Networks and Communications
|Type of Publication:||
A4 Article in conference proceedings
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
The research leading to these results has received funding from the Academy of Finland, Fundamental of Simultaneous Localization and Communications (FALCON) as well as the European Union H2020 5GPPP under grant no. 723247 and supported by the Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIP) (No.B0115-16-0001, 5GCHAMPION).
|EU Grant Number:||
(723247) 5G CHAMPION - 5G Communication with a Heterogeneous, Agile Mobile network in the Pyunchang wInter Olympic competioN
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