Femto-Assisted Cooperative Location Tracking in Macro/Femto Heterogeneous Networks

• Main Authors: Lee, Ke-Ting, 李可婷
• Other Authors: Feng, Kai-Ten
• Format: Others
• Language: en_US
• Published: 2013
• Online Access: http://ndltd.ncl.edu.tw/handle/03094139102984643679

碩士 === 國立交通大學 === 電信工程研究所 === 101 === Location estimation and tracking for mobile stations (MSs) have attracted a significant amount of attention in recent years. In indoor environment where the signals from global positioning system (GPS) are either weak or blocked, signal sources from long term evolution advanced (LTE-A) system can be adopted to provide location estimation for MS. Based on the range signals from macro base station (mBS), femto BS (fBS), and neighbor MSs which can be cooperated in LTE-A heterogeneous networks (HetNet), we propose femto-assisted cooperative location tracking (FACLT) algorithm to estimate MS's position especially for indoor environments with insufficient signal inputs from mBSs. Since fBSs are usually deployed by users in their residential or business buildings, the locations of these fBSs generally cannot be known exactly. We depict the imprecise fBSs' positions as belief information to investigate a cooperative location tracking problem based on Bayesian estimation method and utilize particle filtering technique to develop the FACLT algorithm. The femto-assisted location tracking (FALT) scheme based on FACLT algorithm is proposed for practical HetNet scenario. Moreover, a simplified FALT (FALT-S) scheme is proposed to reduce the computation cost resulting from the particle filter in original FACLT method. Performance evaluation is conducted based on the LTE-A HetNet environments. Compared to conventional scheme (i.e. Cell Identification), simulation results show that the proposed FACLT algorithms can provide better location estimation of MS in different scenarios through the assisted fBS and cooperative MSs.