Artificial intelligent power prediction for efficient resource management of WCDMA mobile network
This paper presents a method of predicting changes of power consumption at Node B of a wideband code division multiple access (WCDMA) mobile network due to dynamic resource allocation such as movement of unit equipment (UE), handover call from adjacent cell and accommodation of new service request....
Saved in:
| Main Authors: | , , , |
|---|---|
| Format: | Conference Paper |
| Language: | en_US |
| Published: |
2017
|
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Institution: | Universiti Tenaga Nasional |
| Language: | en_US |
Be the first to leave a comment!