CPU Usage Estimation for 5G UE by mmWave Carrier Aggregation

5G networks bring a major advance in bandwidth extension through millimeter wave (mmWave). Previously impractical services such as enhanced mobile broadband (eMBB), ultra-reliable latency communications (URLCC), and machine type communications (mMTC) can be applied with QoS (Quality of Service) and QoE (Quality of Experience) for users connected to the network. Under mmWave, higher data rates are achieved with the multiple-input multiple-output (MIMO) and carrier aggregation (CA), meeting several demands of the user. However, a significant increase in user equipment (UE) capabilities is required over very high data rates, reflecting extra CPU processing demands and battery consumption, which can reach critical levels faster with potential disconnection. Considering the CPU processing growth in UE over such a situation, this work presents an estimation model to obtain processing growth curves according to the network features on mmWave. As a result, the obtained CPU monitoring functions can predict the longer battery life for UE data throughput demands.