From: Profit optimization in multi-service cognitive mesh network using machine learning
Parameter | Value |
---|---|
Number of mesh routers | 10 |
Number of clients | 100 |
Number of primary users | 4 |
Number of channels per a PU | 20 |
Total number of channels | 80 |
Number of messages per client | Random |
Type of interface per node | 802.11 b |
MAC layer | IEEE 802.11 b |
Transmission power | 0.1 watt |
Packet size | 512 |
λ1 (arrival rate of SUs class 1) | 1 |
λ2 (arrival rate of SUs class 2) | 1 |
Blocking probably constraint for a PU | 0.015 |