Introduction
Big data mining and predictive analysis
The process of big data mining
Networking technology for big data mining and analysis
Network description
Classification of network variables
No. | Type | Service | Energy consumption(dBm) | Bandwidth (MHz) | Load |
---|---|---|---|---|---|
001 | Macro BS | Voice, Data | 11.19 | 40 | Low |
002 | Micro BS | Data | 23.51 | 25 | Normal |
003 | Pico BS | Voice | 3.13 | 20 | High |
004 | WIFI | Media | 1.57 | 20 | Low |
… | … | … | … | … | … |
Network assessment
Networking model of data mining analysis
Data analysis
Data processing
Principal components
Multiple regression based on principal components
Simulation analysis
Type | No. | Coverage radius/m | BS power/dBm | Band-width/MHz | Noise power/dBm | Subcarrier bandwidth/MHz | Interference power | Coding efficiency | Channel | User number |
---|---|---|---|---|---|---|---|---|---|---|
Macro BS | 1 | 500 | 152.88 | 40 | 10–11 | 0.125 | 2 × 10–6 | 0.8 | Gaussian channel | 500 |
Micro BS | 5 | 200 | 126.21 | 25 | ||||||
Pico BS | 2 | 120 | 70.23 | 20 | ||||||
Femo BS | 12 | 90 | 56.44 | 20 |
No. | Power consumption | Rate/MHz | Covered area(m2) | Service user | User density | remaining ratio |
---|---|---|---|---|---|---|
1 | 11.193 | 642.45 | 0.78316 | 52 | 66.398 | 0.038462 |
2 | 2.2387 | 128.92 | 0.3612 | 10 | 27.685 | 0 |
3 | 23.506 | 1350.6 | 0.21365 | 111 | 519.53 | 0.054054 |
4 | 10.074 | 578.96 | 0.6783 | 46 | 67.817 | 0.021739 |
5 | 10.298 | 591.46 | 0.6354 | 49 | 77.117 | 0.061224 |
6 | 9.1786 | 527.44 | 0.67319 | 43 | 63.875 | 0.046512 |
7 | 3.1342 | 179.87 | 0.64824 | 14 | 21.597 | 0 |
8 | 4.0296 | 231.41 | 0.70465 | 18 | 25.545 | 0 |
9 | 1.5671 | 89.973 | 0.55709 | 7 | 12.565 | 0 |
10 | 3.5819 | 205.65 | 0.23256 | 17 | 73.1 | 0.058824 |
11 | 2.4626 | 141.31 | 0.44876 | 11 | 24.512 | 0 |
12 | 3.8058 | 218.79 | 0.23432 | 17 | 72.551 | 0 |
13 | 1.791 | 102.74 | 0.61651 | 8 | 12.976 | 0 |
14 | 2.0148 | 115.66 | 0.73454 | 9 | 12.253 | 0 |
15 | 4.7012 | 269.85 | 0.12355 | 21 | 169.97 | 0 |
16 | 4.7012 | 270.25 | 0.19236 | 21 | 109.17 | 0 |
17 | 2.0148 | 115.74 | 0.75604 | 9 | 11.904 | 0 |
18 | 2.6864 | 154.27 | 0.66115 | 12 | 18.15 | 0 |
19 | 3.358 | 192.75 | 0.39868 | 15 | 37.624 | 0 |
20 | 2.2387 | 128.52 | 0.51771 | 10 | 19.316 | 0 |
Power consumption | capacity | Covered area | Service user | User density | Remaining ratio | |
---|---|---|---|---|---|---|
Power consumption | 1.0000 | 1.0000 | − 0.1220 | 0.9998 | 0.8550 | 0.7146 |
Capacity | 1.0000 | 1.0000 | − 0.1222 | 0.9998 | 0.8551 | 0.7145 |
Covered area | − 0.1220 | − 0.1222 | 1.0000 | − 0.1210 | − 0.5084 | − 0.0263 |
Service user | 0.9998 | 0.9998 | − 0.1210 | 1.0000 | 0.8551 | 0.7226 |
User density | 0.8550 | 0.8551 | − 0.5084 | 0.8551 | 1.0000 | 0.4779 |
Remaining ratio | 0.7146 | 0.7145 | − 0.0263 | 0.7226 | 0.4779 | 1.0000 |
Principal component matrix | ||||||
---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | 6 | |
Power consumption | 0.1108 | − 0.0594 | − 0.0038 | − 0.0233 | − 0.0305 | 0.9913 |
Capacity | 0.8402 | − 0.4498 | − 0.0357 | − 0.1932 | − 0.1892 | − 0.1314 |
Coverage area | − 0.0050 | − 0.0719 | 0.9881 | 0.0751 | − 0.1130 | − 0.0016 |
Service user | 0.2414 | − 0.1290 | 0.0235 | 0.6500 | 0.7085 | 0.0024 |
User density | 0.4727 | 0.8787 | 0.0641 | 0.0100 | − 0.0124 | − 0.0001 |
Remaining ratio | 0.0050 | − 0.0108 | − 0.1328 | 0.7307 | − 0.6696 | − 0.0051 |
Initial eigenvalue | |||
---|---|---|---|
Component | Total | Variation | Accumulation |
1 | 4.3624 | 0.7271 | 0.7271 |
2 | 1.1421 | 0.1904 | 0.9174 |
3 | 0.4455 | 0.0743 | 0.9917 |
4 | 0.0499 | 0.0083 | 1.000 |
5 | 0.0000 | 0.0000 | 1.000 |
6 | 0.0001 | 0.0000 | 1.000 |