Table 2 5GPA factors for performance modeling
From: Performance prediction and enhancement of 5G networks based on linear regression machine learning
5GPA factors | Testing values | Model’s default values |
|---|---|---|
Channel center frequency | Low (Sub-6): CCF = {n28} Mid (Sub-6): CCF = {n3, n7, n78} High (mmWave): CCF = {n258, n260} | Low (Sub-6): CCF = {n28} Mid (Sub-6): CCF = {n3, n7, n78} High (mmWave): CCF = {n258, n260} |
Channel bandwidth | n28: CBW = {5, 10, 15, 20, 30} MHz n3: CBW = {5, 10, 15, 20, 25, 30, 40} MHz n7: CBW = {5, 10, 15, 20, 25, 30, 40, 50} MHz n78: CBW = {10, 15, 20, 25, 30, 40, 50, 60, 70, 80, 90, 100} MHz n258: CBW = {50, 100, 200, 400} MHz n260: CBW = {50, 100, 200, 400} MHz | n28: CBW = 30 MHz n3: CBW = 40 MHz n7: CBW = 50 MHz n78: CBW = 100 MHz n258: CBW = 400 MHz n260: CBW = 400 MHz |
Deployment environments | Macrocell: Env = {RMa, UMa} Microcell: Env = {UMi} | Macrocell: Env = {RMa, UMa} Microcell: Env = {UMi} |
Connection density | NUEs = {5, 10, 15, 20, 25, 30, 35, 40} | NUEs = 10 |
Coverage area | CAgNB = {D1, D2, D3, D4, D5, D6, D7} meters, based on Table1 | CAgNB = 100 m |
Packet length | PLen = {64, 128, 256, 512, 1024, 2048, 4096} bytes | PLen = 1024 B |
Packet interarrival time | PIAT = {8 × 10–4, 1 × 10–4} s (or: RDR = {10,50} Mbps) | PIAT = 8 × 10–4 s (RDR = 10 Mbps) |
Transport protocol | TP = TCP, UDP | TP = UDP |
Network protocol | NP = IPv4, IPv6 | NP = IPv6 |