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Table 2 Simulation parameters

From: Novel learning-based spatial reuse optimization in dense WLAN deployments

Parameter

Value

Description

K

4

Number of nodes in hidden and exposed scenarios

 

63

Number of nodes in cellular scenario

NH nb

8

Number of hidden layer neurons in hidden and exposed scenarios

 

126

Number of hidden layer neurons in cellular scenario

μ

0.001

Learning rate

η

0.01,0.001

Optimization update rate

MaxEpochs nb

1000

Maximum number of training epochs

MSE des

10−6

Desired mean squares error

FL des

0.4

Desired fail limit (Mbps)

FNr des

0.1

Desired fail number ratio

OfflineDSe nb

15

Offline data set entries number

T ON

10 s

Data collection interval duration

MIN PCSA

−110 dBm

Minimum PCS threshold value

MAX PCSA

−60 dBm

Maximum PCS threshold value

DEF PCSA

−82 dBm

Default PCS threshold value

MAX TPC

15 dBm

Maximum transmit power value

MIN TPC

0 dBm

Minimum transmit power value

DEF TPC

6 dBm

Default transmit power value

Load

20 Mbps

Traffic load per device in hidden and exposed scenarios

 

4 Mbps

Traffic load per device in cellular scenario

X T

20 Mbps

Target throughput per device in hidden and exposed scenarios

 

4 Mbps

Target throughput per device in cellular scenario

NSS

1

Number of spatial streams (antennas)

B

5 GHz

Frequency band

BW

20 MHz

Channel bandwidth

MCS

MCS 7

Modulation and coding scheme (no rate control)