Enabling Multi-Carrier Relay Selection by Sensing Fusion and Cascaded ANN for Intelligent Vehicular Communications
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ArticleDate
2020-04-07Online Publication Date
2020-04-07Print Publication Date
2021-07-15Permanent link to this record
http://hdl.handle.net/10754/662483
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Cooperative relaying has been adopted as one of the most important techniques to enhance the energy efficiency and coverage. Multi-carrier relay selection is an efficient method to allocate spatial/spectral resources in cooperative relay networks and provides diversity gain. However, the implementation of multicarrier relay selection is not straightforward, and could render the high system complexity (for centralized implementation schemes) or long processing delay (for distributed implementation schemes). These issues hinder the promotion and implementation of multicarrier relay selection for intelligent vehicular communications. To mitigate aforementioned issues, we propose an enabling technique of multi-carrier relay selection based on sensing fusion (SF) and cascaded artificial neural networks (CANNs) for intelligent vehicular communications. We employ two well-known multicarrier relay selection schemes, i.e. bulk and per-subcarrier relay selection, to verify the effectiveness of the CANN based enabling technique. With the powerful processing ability with intelligent vehicles, the numerical results illustrate a promising vision of applying CANNs to enable multi-carrier relay selection for fast deployment in intelligent vehicular communication networks.Citation
Dang, S., Wen, M., Mumtaz, S., Li, J., & Li, C. (2020). Enabling Multi-Carrier Relay Selection by Sensing Fusion and Cascaded ANN for Intelligent Vehicular Communications. IEEE Sensors Journal, 1–1. doi:10.1109/jsen.2020.2986322Journal
IEEE Sensors JournalAdditional Links
https://ieeexplore.ieee.org/document/9058719/https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=9058719
ae974a485f413a2113503eed53cd6c53
10.1109/JSEN.2020.2986322