Table 1 Simulation parameters [30]
From: Improving load balancing techniques by location awareness at indoor femtocell networks
Load balancing algorithm | Epoch time | 1 min |
α | 50 % | |
β | 20 % | |
Tinterpolation | 60 min | |
Propagation model | Outdoor-outdoor | Winner II C2 |
Outdoor-indoor | Winner II C4 | |
Indoor-indoor | Winner II A1 | |
Indoor-outdoor | Winner II A2 | |
Base station model | EIRP | 3 (femto)/43 (macro) dBm |
Directivity | Omni (femto)/tri-sector (macro) | |
Access | Open (femto)/open (macro) | |
Mobile station model | Noise figure | 9 dB |
Noise density | −174dBm/Hz | |
Traffic model | Calls | Poisson (avg. 0.43calls/user · h) |
Duration | Exponential (avg. 100 s) | |
Mobility model | Outdoor | 3 km/h, random direction & wrap-around |
Indoor | Random Waypoint | |
Service model | Voice over IP | 16 kbps |
RRM model | Bandwidth | 5 MHz (25 PRBs) |
Access control | Directed retry (threshold = −44 dBm) | |
Cell reselection | Criteria S, R | |
Handover | Events A3, A5 | |
Scheduler | Time domain: round-robin Frequency domain: best channel | |
Time resolution | 100 ms |