PREDICTION OF 5G CELLULAR NETWORK USER MOVEMENT IN JABODETABEK AREA FOR RESOURCE AND MOBILITY MANAGEMENT USING LONG SHORT-TERM MEMORY METHOD
The development of communication systems worldwide has given birth to various new technologies that are rapidly developing, such as the 5G network launched in 2018. The rapid increase in the use of cellular data services demands more efficient network management. Problems begin to emerge with the...
Saved in:
Main Author: | Rafinanda Benyamin, Fabian |
---|---|
Format: | Final Project |
Language: | Indonesia |
Online Access: | https://digilib.itb.ac.id/gdl/view/85095 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Institut Teknologi Bandung |
Language: | Indonesia |
Similar Items
-
PREDICTION OF USER MOBILITY FOR HANDOVERS IN 5G NETWORKS IN JAKARTA USING THE LONG SHORT-TERM MEMORY METHOD
by: Timoteo, Adriel -
LONG TERM DEPENDENCE WITH LONG SHORT-TERM MEMORY MODELS
by: CHAN MING WEI
Published: (2021) -
HANDOVER METHOD EXPLORATION USING LONG SHORT-TERM MEMORY NETWORK FOR 5G NETWORK
by: Zayn Murteza, Ali -
STOCK MOVEMENT ANALYSIS OF ONLINE MARKETPLACE IN INDONESIA USING LONG-SHORT TERM MEMORY MODEL WITH HYPERPARAMETER TUNING
by: Miranda, Shereva -
The Implementation of Long-Short Term Memory for Tourism Industry in Malaysia
by: Taib, Siti Aishah Tsamienah, et al.
Published: (2025)