Table 2 Parameter setting.

From: A novel energy-efficiency framework for UAV-assisted networks using adaptive deep reinforcement learning

Sl.No

Parameters

Value

1.

UAV step distance

[0–20] m

2.

Path loss exponent

2

3.

Bandwidth

1 MHz

4.

SINR threshold/Noise power

5 dB/ − 130 dBms

5.

Maximum transmit power

20 dBm

6.

Nominal battery capacity

16,000 mAh

7.

Weight per UAV/Number of UAVs

16 kg/[2-12]

8.

Velocity/Ground user direction

\(\left[ {0,15} \right]m/s\,/\,\left[ {0,2\pi } \right]\)

9.

Model/ Number of Ground Users

GMM/400

10.

Policy/.maxStep/Episodes

\(\varepsilon\)-greedy/1500/250

11.

Batch size/Replay memory size

1024/10,000

12.

Activation function/Hidden layers

ReLu/2 (128,64)

13.

Discount factor/learning rate

0.95/0.0001

14.

Loss function/Optimizer

MSELoss/RMSprop