Abstract
Machine to machine (M2M) communication is a promising technology to enhance both spectral efficiency and energy efficiency in cellular networks. To achieve those benefits, localization of unknown machine in M2M communications are crucial for several perspectives, such as power control to mitigate interference, improve energy efficiency and reduce traffic burden on the base stations (BSs). In this paper, we propose time of arrival (TOA) and time difference of arrival (TDOA) based localization techniques for M2M communications over cellular networks. The algorithm estimates the location of unknown machine using TOA and TDOA from the location information of anchor machines. Weighted least square (WLS) and maximum likelihood (ML) based localization algorithms are espoused for the proposed localization techniques. Extensive simulations are carried out for evaluating the localization performance of the proposed techniques. Besides, simulation results show that the TDOA localization technique provides higher localization accuracy.
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