Abstract
The advancement of wireless technologies with increasing number of devices has paved way for Massive Multiple Input Multiple Output (MIMO) systems. In 5G technologies, there is an integration of network domains such as Internet of Things, mm-waves, device 2 device (D2D) communications, machine type communications, vehicular networks, cognitive radio networks, etc. With hundreds of antennas at the base station, data rates and capacity increases for devices connected. To enhance quality of service to all connected devices, location identification has its importance. Based on received signal strength (RSS) and time of arrival (TOA) technique, hybrid RSS-TOA based energy detection is proposed. To reduce computational complexity, a channel densification process is designed using energy detector where signals with highest received signal power and arrival of signal at the first- time instance are considered. Performance of the proposed technique is evaluated with Root mean square error and it is compared with cramer rao lower bound. Simulation results show that the probability of detection around 0.80 is achieved for identification of Line of sight (LOS) and Non-Line of Sight (NLOS) conditions .
Published Version
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