Abstract
An energy-efficient two-way (TW) full-duplex (FD) network with the assistance of an unmanned aerial vehicle (UAV) is proposed, where the UAV acts as a mobile relay to assist the information exchange between two terrestrial transceivers. In particular, the self-interference (SI) channel gains follow complex Gaussian distribution and the perfect channel state information (CSI) of SI channels is unavailable at the receiver. To maximize the energy efficiency (EE), UAV flight speeds are controlled and power adaptation at the UAV relay is performed. The genetic algorithm (GA) is applied to efficiently obtain the optimal solution. Numerical results show that our scheme performs better than the one-way (OW) FDR scheme, fixed power (FP) and fixed flight speed (FS) policy. In addition, the SI cancellation factor on the EE is also demonstrated.
| Original language | English |
|---|---|
| Title of host publication | 2020 IEEE 92nd Vehicular Technology Conference, VTC 2020-Fall - Proceedings |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| ISBN (Electronic) | 9781728194844 |
| DOIs | |
| Publication status | Published - Nov 2020 |
| Externally published | Yes |
| Event | 92nd IEEE Vehicular Technology Conference, VTC 2020-Fall - Virtual, Victoria, Canada Duration: 18 Nov 2020 → … |
Publication series
| Name | IEEE Vehicular Technology Conference |
|---|---|
| Volume | 2020-November |
| ISSN (Print) | 1550-2252 |
Conference
| Conference | 92nd IEEE Vehicular Technology Conference, VTC 2020-Fall |
|---|---|
| Country/Territory | Canada |
| City | Virtual, Victoria |
| Period | 18/11/20 → … |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
ASJC Scopus subject areas
- Computer Science Applications
- Electrical and Electronic Engineering
- Applied Mathematics
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