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....
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| Main Authors: | , , , |
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| Format: | Conference Paper |
| Language: | en_US |
| Published: |
2017
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| Institution: | Universiti Tenaga Nasional |
| Language: | en_US |