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Table 1 Simulation parameters

From: Energy-efficient offloading and resource allocation for mobile edge computing enabled mission-critical internet-of-things systems

Parameters

Value

Cell radius

250 m

IoT device number, K

[4, 24]

Number of APs, N

3

Data volume, \({\mathbb {U}}_k\)

\({\mathbb {U}}_k \in [60,100]\) bytes

Output data size, \({\mathbb {D}}_k\)

\({\mathbb {D}}_k \in [30,50]\) bytes

Required computation resource \({\mathbb {F}}_k\)

\({\mathbb {F}}_k \in [1\times 10^3, 1 \times 10^4]\) CPU cycles

AP computation capacity, \(L_n\)

1 G CPU cycles per second

Effective switched capacitance, \(\alpha _n\)

\(10^{-27}\)

Short packet transmission time, \(\tau _{\text {U}}\), \(\tau _{\text {D}}\)

20 ms

Latency requirement of device k, \(T_k\),

5 s

SNR loss, \(\delta\)

1.5

Decoding error probability, \(\varepsilon _k\)

\(2\times 10^{-8}\)

IoT devices distribution

Randomly uniform distribution

APs distribution

Uniformly distributed over the circle diameter

Noise power spectral density, \(N_0\)

− 130 dBm/Hz

System bandwidth, W

1 MHz

AP transmit power budget, \(P_n\)

1 W

Small scale fading

Rayleigh fading with unit variance

Distance dependent path loss

\(128.1 + 37.6 \log _{10} d\), d is in Km