Advances, Systems and Applications
Table 1 Main parameters
From: Dynamic deployment method based on double deep Q-network in UAV-assisted MEC systems
Parameters | Implication |
|---|---|
\({b_k}\) | the position coordinates of obstacles |
\({u_{uav,t}}\) | the position coordinates of the UAV |
\({u_{n,t}}\) | the position coordinates of terminals |
\({d_{uav,k,t}}\) | the distance between obstacle k and the UAV |
\({R_k}\) | the radius of obstacle k |
\({O_{k,t}}\) | obstacle avoidance variable |
\({d_{uav,t}}\) | the flight distance of the UAV |
\({v_{uav}}\) | flight speed of the UAV |
\(T_{uav,t}^{fly}\) | flight time of the UAV |
\({r_{uav,n,t}}\) | the uplink data transmission rate |
B | channel bandwidth |
\({P_{tr}}\) | transmitted power |
\(T_{uav,n,t}^{off}\) | the time of computation offloading |
\({D_{n,t}}\) | the task size needs to offload |
\({C_{n,t}}\) | CPU cycle |
\(E_{uav,n,t}^{fly}\) | flight energy consumption of the UAV |
\({P_f}\) | flight power |
\(E_{uav,n,t}^{off}\) | computation offloading energy consumption |
\({f_{uav}}\) | CPU frequency of the UAV |
\(E_{uav,n,t}^h\) | hovering energy consumption of the UAV |
\(E_{uav,n,t}^{total}\) | total energy consumption |
W | total power of the UAV |