Table 5 Simulation parameters.

From: Adaptive AI-enhanced computation offloading with machine learning for QoE optimization and energy-efficient mobile edge systems

Parameter category

Parameter

Value

Network parameters

Number of users (N)

50–200

Number of edge servers (M)

4–10

Channel bandwidth

20 MHz

Path loss exponent

2.8

Noise power

− 174 dBm/Hz

Carrier frequency

2.4 GHz

Coverage radius

100 m

User device

CPU frequency

1–2 GHz

Local computing power

0.5–1 W

Transmission power

0.1–0.5 W

Battery capacity

5000 mAh

Mobility speed

0–10 m/s

Edge server

Server CPU frequency

3.0 GHz

Server computing power

10–20 W

Server memory

16–32 GB

Maximum users per server

50

Task parameters

Input data size

0.1–5 MB

Required CPU cycles

1000–5000 Megacycles

Task deadline

100–500 ms

Task arrival rate

1–10 tasks/s

AI algorithm

DRL learning rate

0.001

Discount factor

0.95

Epsilon (ε-greedy)

0.1

Batch size

32

Memory size

10,000

GA population size

100

GA generations

50

FL aggregation rounds

10