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) |