Ayotunde O. Laiyemo, Petri Luoto, Pekka Pirinen, and Matti Latva-aho, “Feasibility Studies on the Use of Higher Frequency Bands and Beamforming Selection Scheme for High Speed Train Communication,” Wireless Communications and Mobile Computing, vol. 2017, Article ID 1830987, 14 pages, 2017. doi:10.1155/2017/1830987
Feasibility studies on the use of higher frequency bands and beamforming selection scheme for high speed train communication
|Author:||Laiyemo, Ayotunde O.1; Luoto, Petri1; Pirinen, Pekka1;|
1Centre for Wireless Communications, University of Oulu, P.O. Box 4500, 90014 Oulu, Finland
|Online Access:||PDF Full Text (PDF, 2.1 MB)|
|Persistent link:|| http://urn.fi/urn:nbn:fi-fe2017101150053
|Publish Date:|| 2017-10-11
With increasing popularity of high speed trains and traffic forecast for future cellular networks, the need to provide improved data rates using higher frequency bands (HFBs) for train passengers is becoming crucial. In this paper, we modify the OFDM frame structure for HST, taking into account the increasing sensitivity to speed at HFBs. A lower bound on the SNR/SINR for a given rate for reliable communication was derived considering the physical layer parameters from the OFDM frame. We also analyze different pathlossmodels in the context of examining the required gain needed to achieve the same performance as with microwave bands. Finally, we present a time-based analogue beamforming selection approach for HST. We observed that, irrespective of the pathloss models used, the required gains are within the same range. For the same SNR/SINR at different frequency bands, the achievable data rate varies with respect to the frequency bands. Our results show the potential of the use of HFBs. However, due to the increased sensitivity of some channel parameters, a maximum frequency band of 38GHz is suggested. Evaluation of our proposed beamforming scheme indicates a close performance to the optimal SVD scheme with a marginal rate gap of less than 2 b/s/Hz.
Wireless communications and mobile computing
|Type of Publication:||
A1 Journal article – refereed
|Field of Science:||
213 Electronic, automation and communications engineering, electronics
This work was supported by the Finnish Funding Agency for Technology and Innovation, Nokia, Keysight Technologies, and Huawei Technologies.
© 2017 Ayotunde O. Laiyemo et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.