Abstract
In next generation cellular networks, machine to machine (M2M) communications is a promising technology. Localization is a fundamental problem in M2M communications, as unknown machine (UM) location information is essential for several prospectives, such as tracking, quality of service (QoS) and energy efficiency (EE). In this paper, we propose a time difference of arrival (TDOA) based localization architecture for M2M communications over cellular networks. A weighted least square (WLS) based algorithm is adopted in the proposed TDOA localization architecture. The algorithm estimates the location of UM using the TDOA from the location information of anchor machines (AMs). Simulation results show that the accuracy improves when the number of AM increases. Besides, localization accuracy with randomly distributed AMs is found better than that with AMs placed in a fixed pattern.
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