Title :
Energy-efficient positioning for cellular networks with unknown path loss exponent
Author :
Yang Li ; Xu Zhu ; Yufei Jiang ; Yi Huang ; Eng Gee Lim
Author_Institution :
Dept. of Electr. Eng. & Electron., Univ. of Liverpool, Liverpool, UK
Abstract :
We propose a received signal strength (RSS) based energy-efficient positioning approach for cellular networks with unknown path loss exponent (PLE). A low-complexity searching algorithm is proposed for PLE estimation and a low-complexity lateration algorithm is proposed to provide the searching criteria. Simulation results show that the proposed positioning method achieves an accuracy similar to that of the nonlinear least square (NLS) algorithm, while requiring a much lower complexity.
Keywords :
cellular radio; computational complexity; least squares approximations; PLE estimation; cellular networks; low-complexity lateration algorithm; low-complexity searching algorithm; nonlinear least square algorithm; received signal strength based energy-efficient positioning approach; unknown path loss exponent; Accuracy; Complexity theory; Energy efficiency; Maximum likelihood estimation; Position measurement; Simulation;
Conference_Titel :
Consumer Electronics - Taiwan (ICCE-TW), 2015 IEEE International Conference on
Conference_Location :
Taipei
DOI :
10.1109/ICCE-TW.2015.7217022