Title
Application of DFT-based channel estimation for accurate signal cancellation in Cloud-Txn multi-layer broadcasting system
Abstract
Cloud transmission (Cloud-Txn) with layer-division-multiplexing (LDM) was proposed as a candidate Physical Layer (PHY) technology for the next generation digital TV broadcasting system. In this paper, we investigate the performance of the upper-layer signal cancellation with DFT-based channel estimation techniques, due to their capability of providing near-optimal performance for challenging channels with long delay spread at low Signal to Noise Ratio (SNR). Both Pilot-Aided (PA) and Decision-Directed (DD) techniques are investigated and their performances are compared. The major issue with DFT-based techniques is the “edge effect” for OFDM systems with Null spectrum on either side of the useful spectrum, which serves as guard band. A Cloud-Txn/LDM system usually requires very accurate channel estimation to achieve very low residual upper-layer signal after the cancellation. In this case, the “edge effect” becomes a significant impairment. In this paper, we evaluate different data-padding methods to reduce the “edge effect”, which fill the Null spectrum with Virtual Pilots (VP). It is shown that, with proper data-padding technique, 30 to 40 dB signal cancellation can be achieved.
Year
DOI
Venue
2014
10.1109/BMSB.2014.6873491
BMSB
Keywords
Field
DocType
layer-division-multiplexing,data padding technique,ldm,dft based channel estimation application,television broadcasting,pilot aided,phy technology,cloud-txn multilayer broadcasting system,next generation digital tv broadcasting system,ofdm modulation,physical layer,near optimal performance,cloud-txn,accurate signal cancellation,terrestrial tv broadcasting,virtual pilots,dft based channel estimation techniques,cloud transmission,upper layer signal cancellation,signal cancellation,null spectrum,pa,snr,decision directed techniques,ofdm systems,low signal to noise ratio,edge effect,vp,dd techniques,channel estimation,interpolation,ofdm,signal to noise ratio,mobile communication
Residual,Computer science,Signal-to-noise ratio,Delay spread,Communication channel,Real-time computing,Physical layer,Guard band,PHY,Orthogonal frequency-division multiplexing
Conference
ISSN
Citations 
PageRank 
2155-5044
4
0.57
References 
Authors
2
8
Name
Order
Citations
PageRank
Liang Zhang146492.08
Yiyan Wu21610180.83
Wei Li342256.67
Heung Mook Kim447265.04
sung ik park562681.37
Pablo Angueira639047.52
Jon Montalban730537.04
Manuel Vélez827240.08