Name
Abstract | ||
|---|---|---|
In this paper, we propose an optimal power allocation scheme for multiple unmanned aerial vehicles (UAVs) communications that maximizes the sum rates at the UAVs. The proposed scheme exploits the location information of multiple UAVs and adapts the transmit power based on the UAV distance from the transmitting base station (BS). The location information enables the BS to dynamically adapt the transmit power over the UAVs entire flight time to maximize the average sum rate. The average sum rate and power allocated to the UAVs during the flight time are used as the performance metrics. In addition, the proposed scheme is compared with the fixed power allocation scheme, and the results give useful insight into UAV location-aware communication. The simulation results show that at low transmit power, a sum rate improvement can be achieved when the adaptive power transmission scheme is applied as compared to a fixed transmit power schemes. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/tencon.2018.8650530 | TENCON IEEE Region 10 Conference Proceedings |
Keywords | Field | DocType |
Power adaptation,Location-aware communication,UAV,Fixed trajectory | Resource management,Base station,Transmitter power output,Computer science,Signal-to-noise ratio,Electronic engineering,Exploit,Location aware,Power transmission,Trajectory | Conference |
ISSN | Citations | PageRank |
2159-3442 | 0 | 0.34 |
References | Authors | |
0 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Minsoo Jeong | 1 | 0 | 0.34 |
| Igbafe Orikumhi | 2 | 0 | 1.01 |
| Sunwoo Kim | 3 | 66 | 11.00 |