Exploiting second order statistics of the received signals in AF relay cooperative network for compound channel estimation
Pages 667 - 672
Abstract
In this paper we address the channel estimation issue in amplify and forward (AF) relay network by exploiting the temporal statistics of the fading channel. A robust channel estimator that offers good performance is proposed for dual hop AF systems which can be used with any type of correlated channels. The linear minimum mean square error (LMMSE) estimation technique used in existing methods require apriori knowledge of exact autocorrelation function (ACF) of the channel at the receiver. Time domain channel correlation mismatch can degrade the performance of LMMSE estimator. The proposed method offers a realistic solution as the interpolation factor is extracted from the received signal itself. Since it can accommodate the temporal variations of the channel effectively, this method offers flexibility in estimating any generalised correlated channels. The mean square error (MSE) and bit error rate (BER) performance of the proposed technique are evaluated through computer simulation studies and are compared with that of a related method referred in the literature. The improvement in the system performance owes to the enhanced correlation matching.
References
[1]
F. Gao, T. Cui, and A. Nallanathan. On channel estimation and optimal training design for amplify and forward relay networks. Wireless Communications, IEEE Transactions on, 7(5):1907--1916, 2008.
[2]
M. Hayes. Statistical digital signal processing and modeling. Wiley-India, 2009.
[3]
G. Huang, Y. Wang, and J. Coon. Performance of multihop decode-and-forward and amplify-and-forward relay networks with channel estimation. In Communications, Computers and Signal Processing (PacRim), 2011 IEEE Pacific Rim Conference on, pages 352--357. IEEE, 2011.
[4]
S. Kay. Statistical signal processing. 1993.
[5]
Y. Li, Q. Yin, L. Sun, H. Chen, and H. Wang. A channel quality metric in opportunistic selection with outdated csi over nakagami-m fading channels. Vehicular Technology, IEEE Transactions on, (99):1--1, 2010.
[6]
F. Liu, Z. Chen, X. Zhang, and D. Yang. Channel estimation for amplify and forward relay in ofdm system. In Wireless Communications, Networking and Mobile Computing, 2008. WiCOM'08. 4th International Conference on, pages 1--4. IEEE, 2008.
[7]
C. Mavrokefalidis, A. Rontogiannis, and K. Berberidis. Training design in single relay af cooperative systems with correlated channels. In Acoustics, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on, pages 3316--3319. IEEE, 2011.
[8]
C. Patel and G. Stuber. Channel estimation for amplify and forward relay based cooperation diversity systems. Wireless Communications, IEEE Transactions on, 6(6):2348--2356, 2007.
[9]
C. Patel, G. Stuber, and T. Pratt. Statistical properties of amplify and forward relay fading channels. Vehicular Technology, IEEE Transactions on, 55(1):1--9, 2006.
[10]
M. Patzold. Mobile fading channels. england, 2002.
[11]
L. Scharf and C. Demeure. Statistical signal processing: detection, estimation, and time series analysis, volume 148. Addison-Wesley Reading, MA, 1991.
[12]
S. Vaseghi. Advanced signal processing and digital noise reduction, volume 46. Wiley, 1996.
[13]
C. Wang, H. Chen, Q. Yin, A. Feng, and A. Molisch. Multi-user two-way relay networks with distributed beamforming. Wireless Communications, IEEE Transactions on, (99):1--12, 2011.
[14]
Y. Zheng and C. Xiao. Simulation models with correct statistical properties for rayleigh fading channels. Communications, IEEE Transactions on, 51(6):920--928, 2003.
Index Terms
- Exploiting second order statistics of the received signals in AF relay cooperative network for compound channel estimation
Recommendations
Outage probability and channel capacity for the Nth best relay selection AF relaying over INID Rayleigh fading channels
Cooperative diversity systems have recently been proposed as a way to form virtual antenna schemes without utilizing collocated multiple antennas. In this paper, we consider the Nth best opportunistic amplify-and-forward (AF) cooperative diversity ...
Smart cooperative relay schemes in LTE-advanced system
ICUIMC '12: Proceedings of the 6th International Conference on Ubiquitous Information Management and CommunicationCooperative relaying is considered as the most cost-efficient method in 3GPP LTE-Advanced in terms of coverage prolongation and transmission efficiency. In this paper, we analyze the best performing cooperative relaying scheme between the Amplify-- and--...
Distributed BLAST with relay selection for multi-antenna AF relaying
By examining the diversity–multiplexing tradeoff (DMT) of an amplify-and-forward (AF) multi-antenna multi-relay network, a procedure to select the optimal number of relays and relay candidates is established. Subsequently, a distributed BLAST ...
Comments
Information & Contributors
Information
Published In
August 2012
1307 pages
ISBN:9781450311960
DOI:10.1145/2345396
- Editors:
- Sabu M. Thampi,
- El-Sayed El-Afry,
- Javier Aguiar,
- General Chairs:
- K. Gopalan,
- Sabu M. Thampi
Copyright © 2012 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]
Sponsors
- ISCA: International Society for Computers and Their Applications
- RPS: Research Publishing Services
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 03 August 2012
Check for updates
Author Tags
Qualifiers
- Research-article
Conference
ICACCI '12
Sponsor:
- ISCA
- RPS
ICACCI '12: 2012 International Conference on Advances in Computing, Communications and Informatics
August 3 - 5, 2012
Chennai, India
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 57Total Downloads
- Downloads (Last 12 months)0
- Downloads (Last 6 weeks)0
Reflects downloads up to 03 Mar 2025
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in