Performance Analysis of Statistical Resampling Based Cell Search Algorithm for 3GPP LTE
G. Jayamohan, I. Arokiasamy · ASME Press eBooks · 2012
Enhanced mobility and robustness are the important key features of 3GPP Long Term Evolution (LTE), so it is more significant for User Equipments (UE) to use reliable and robust algorithms for the cell search procedure. In this paper, a reliable and robust cell search scheme based on statistical resampling technique is presented. This is a powerful statistical signal processing algorithm used for noise reduction and channel parameter estimation. This scheme uses a Monte-Carlo statistical approach and is therefore robust against noisy Rayleigh fading due to multipath propagation, and Doppler spread due to high speed mobility of UEs (about 300kmph). Along with the description of the non-parametric Bootstrap technique, this paper also provides a theoretical insight into conventional approach using coherent detection of Primary Synchronization Signals (PSS) and Secondary Synchronization Signals (SSS). Finally, this paper investigates the performance of the proposed cell search algorithm under Additive White Gaussian Noise (AWGN) and Extended Vehicular-A (EVA-300) channel conditions showing improved probability of detection of about 30% with Signal-to-Noise Ratio (SNR) of -6dB, over conventional cell search algorithms.