A Long Short-Term Memory Network-Based Radio Resource Management for 5G Network

Nowadays, the Long-Term Evolution-Advanced system is widely used to provide 5G communication due its improved network capacity and less delay during communication. The main issues in are insufficient user resources burst errors, because it creates losses data transmission. In order overcome this, an effective Radio Resource Management (RRM) required be developed network. this paper, Long Short-Term Memory (LSTM) proposed develop radio resource management LSTM-RRM for assigning adequate power bandwidth desired equipment of Moreover, Grid Search Optimization (GSO) identifying optimal hyperparameter values LSTM. management, a request queue avoid unwanted allocation transmission minimized by using frequency interleaving guard level insertion. performance method has been analyzed terms throughput, outage percentage, dual connectivity, User Sum Rate (USR), Threshold (TSR), Outdoor (OSR), threshold guaranteed rate, indoor outdoor rate. rate 1400 m building distance up 75.38% compared existing QOC-RRM.