NDLI: Data-Aided Noise Reduction for Long-Range Fading Prediction in Adaptive Modulation Systems

Content Provider	IEEE Xplore Digital Library
Author	Tao Jia Duel-Hallen, A. Hallen, H.
Copyright Year	1967
Abstract	The long-range prediction (LRP) of fading signals enables adaptive transmission methods for rapidly varying mobile radio channels encountered in vehicular communications, but its performance is severely degraded by the additive noise and interference. A data-aided noise reduction (DANR) method is proposed to enhance the accuracy of fading prediction and to improve the spectral efficiency of adaptive modulation systems enabled by the LRP. The DANR includes an adaptive pilot transmission mechanism, robust noise reduction (NR), and decision-directed channel estimation. Due to improved prediction accuracy and low pilot rates, the DANR results in higher spectral efficiency than previously proposed NR techniques, which rely on oversampled pilots. It is also demonstrated that DANR-aided LRP increases the coding gain of adaptive trellis-coded modulation (ATCM). Finally, for low-to-medium signal-to-noise ratio (SNR) values, we show that LRP-enabled adaptive modulation performs better for realistic reflector configurations than for the conventional Jakes model (JM) data set.
Sponsorship	IEEE Vehicular Technology Society
Starting Page	2358
Ending Page	2362
Page Count	5
File Size	1125139
File Format	PDF
ISSN	00189545
Volume Number	62
Issue Number	5
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-06-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Modulation Signal to noise ratio Adaptation models Predictive models Channel estimation Fading Noise reduction prediction methods Adaptive modulation adaptive signal processing fading channels
Content Type	Text
Resource Type	Article
Subject	Applied Mathematics Automotive Engineering Computer Networks and Communications Electrical and Electronic Engineering Aerospace Engineering

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Improved long-range prediction with data-aided noise reduction for adaptive modulation systems

Prediction of State Transitions in Rayleigh Fading Channels

Performance of adaptive coded modulation enabled by long-range fading prediction with data-aided noise reduction

Rate adaptation using long range channel prediction based on discrete prolate spheroidal sequences

Variable forgetting factor linear least squares algorithm for frequency selective fading channel estimation

Spectral Efficiency of Adaptive MQAM/OFDM Systems With CFO Over Fading Channels

Effect of channel estimation errors on MRC diversity in Rician fading channels

Interference aspects of adaptive modems over slow Rayleigh fading channels

Pilot-symbol-aided channel estimation for OFDM in wireless systems

Data-Aided Noise Reduction for Long-Range Fading Prediction in Adaptive Modulation Systems

Similar Documents

Improved long-range prediction with data-aided noise reduction for adaptive modulation systems

Prediction of State Transitions in Rayleigh Fading Channels

Performance of adaptive coded modulation enabled by long-range fading prediction with data-aided noise reduction

Rate adaptation using long range channel prediction based on discrete prolate spheroidal sequences

Variable forgetting factor linear least squares algorithm for frequency selective fading channel estimation

Spectral Efficiency of Adaptive MQAM/OFDM Systems With CFO Over Fading Channels

Effect of channel estimation errors on MRC diversity in Rician fading channels

Interference aspects of adaptive modems over slow Rayleigh fading channels

Pilot-symbol-aided channel estimation for OFDM in wireless systems

Data-Aided Noise Reduction for Long-Range Fading Prediction in Adaptive Modulation Systems