Tracking High-Speed Users Using SNR-CQI Mapping in LTE-A Networks

The task of estimating, tracking and controlling the speed of user equipment (UE), particularly with speed above allowed limits, is a challenge which has a significant impact on radio resource and mobility management in Long Term Evolution (LTE). This is very essential to control the speed and avoid traffic accidents with the help of the LTE networks application. In this paper, we propose an algorithm that relies on transmitting Channel Quality Indicator CQI bits through LTE network’s to remote IP Multimedia Subsystem (IMS) application server to analyze and to map the UE speed and to determine if the UE is above the speed limit. The paper presents a new approach to estimate, track, and control users moving above speed limits in LTE-Advanced (LTE-A) networks using mapping of the uplink CQI index of the UE since the CQI range can provide an indication to the system regarding the movement and the speed of the UE. The approach can be achieved by sending an emergency warning message to the evolved base station (eNB) that sends a downlink (DL) signal to the control channel to activate a radio frequency identification (RFID) unit mounted on the car. The mapping system via the RFID sends a control signal to the Engine Control Unit (ECU), traction control (TC), electronic stability program (ESP) and automatic brake system (ABS) mounted in the car to reduce the speed if the alarm is activated to the inattentive driver. The proposed system has been simulated and evaluated using the Vienna system level simulator. The results show that the estimation of the CQI is dropped significantly to (2–3) as the UEs speed is increased to 150 km/h. Thus, with the availability of estimation of CQI at LTE-A networks, action can be made to warn or reduce the UE speed. Finally, the proposed system can be utilized in recent and future trends of controlling smart cars for long range as the 5G-Internet of Things (IoT) tries deeply to accomplish this system but for short range.