Title
An improved pilot-assisted SNR estimation for MBSFN downlink transmission
Abstract
Signal-to-noise ratio (SNR) is a crucial parameter for adaptive transmission in orthogonal frequency division multiplexing (OFDM) systems. For the OFDM-based multicast/broadcast over single frequency network (MBSFN) system, the downlink transmission channels is quite frequency selective, which is a great challenge for SNR estimation in user terminals with simple implementation. We develop a pilotassisted algorithm operated in transform domain to improve estimation performance. The proposed estimation algorithm is robust to frequency and time selectivity, and is suited to different pilot patterns. Simulations show that the proposed estimator is insensitive to different type of channels, and is superior to conventional methods.
Year
DOI
Venue
2012
10.1109/ICC.2012.6364136
ICC
Keywords
Field
DocType
frequency selectivity,improved pilot-assisted snr estimation,mbsfn,time selectivity,snr estimation,ofdm modulation,orthogonal frequency division multiplexing,mbsfn downlink transmission,pilot-assisted algorithm,ofdm-based multicast/broadcast over single frequency network,adaptive transmission,broadcast communication,transform domain,ofdm,snr,ofdm systems,signal-to-noise ratio,multicast communication,signal to noise ratio,estimation
Broadcasting,Single-frequency network,Computer science,Downlink transmission,Computer network,Communication channel,Real-time computing,Multicast,Orthogonal frequency-division multiplexing,Estimator,Broadcast communication network
Conference
Volume
Issue
ISSN
null
null
1550-3607 E-ISBN : 978-1-4577-2051-2
ISBN
Citations 
PageRank 
978-1-4577-2051-2
0
0.34
References 
Authors
2
3
Name
Order
Citations
PageRank
Fan Yang11259.47
Wei Huang200.34
Huai-Zong Shao35013.46