Publication:
Signal to noise ratio estimation in OFDM based cooperative communication system

dc.citedby4
dc.contributor.authorManzoor S.en_US
dc.contributor.authorOthman N.S.en_US
dc.contributor.authorid25825314900en_US
dc.contributor.authorid56426823300en_US
dc.date.accessioned2023-05-29T06:52:40Z
dc.date.available2023-05-29T06:52:40Z
dc.date.issued2018
dc.descriptionAdaptive control systems; Cooperative communication; Estimation; Frequency estimation; Mean square error; Orthogonal frequency division multiplexing; Cooperative relay communications; NMSE; Normalized mean square error; Signal to noise ratio estimation; Spectral efficiencies; Time synchronization; Transmission error; Transmission power; Signal to noise ratioen_US
dc.description.abstractIn this paper, Signal to noise ratio estimation in Orthogonal Frequency Division Multiplexing based cooperative communication system is proposed. SNR estimation is needed for the best and optimized recovery of the data at the receiver and been used for adaptive control and coding purposes in the communication systems. The cooperative relay communication system takes advantage of the broadcast nature of the wireless channel to improve the communication between the source node and a destination node with the aid of one or more relay nodes. The system harnesses the new form of spatial diversity and combat multipath fading, thereby improving the spectral efficiency, and reducing the transmission error, system outages, and transmission power. OFDM modulated system is used for the implementation of cooperative communication system in MATLAB�. The estimator makes use of two identical halves property of time synchronization preamble used in OFDM systems and relies on autocorrelation of the same. The current estimator is compared with SISO SNR estimation method in-terms of normalized mean square error (NMSE) and estimated SNR. Results shows that the proposed estimator provides enhanced performance in SNR estimation as compared to SISO systems. � 2017 IEEE.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1109/MICC.2017.8311738
dc.identifier.epage89
dc.identifier.scopus2-s2.0-85050636040
dc.identifier.spage84
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85050636040&doi=10.1109%2fMICC.2017.8311738&partnerID=40&md5=dcc882e536170ff283ebeaeacc867abc
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23876
dc.identifier.volume2017-November
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitle2017 IEEE 13th Malaysia International Conference on Communications, MICC 2017
dc.titleSignal to noise ratio estimation in OFDM based cooperative communication systemen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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