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Main positions:Professor
Other Post:NULL
Degree:Doctoral Degree in Engineering
School/Department:College of Electronic and Information Engineering

Yang Fengfan

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Gender:Male

Education Level:东南大学

Alma Mater:Southeast University

Paper Publications

Space-Time Labeling Diversity for WLAN Based on 8-PSK Modulation
Date of Publication:2018-01-01 Hits:

Affiliation of Author(s):电子信息工程学院
Journal:PROCEEDINGS OF 2018 15TH INTERNATIONAL BHURBAN CONFERENCE ON APPLIED SCIENCES AND TECHNOLOGY (IBCAST)
Key Words:Labeling diversity (LD) STBC EXIT chart boosted space-time scheme FEC
Abstract:Recently, an efficient error performance scheme named as labeling diversity has been proposed in the literature for wireless local area network (WLAN). This paper proposes labeling diversity for 8-phase shift keying (8-PSK) modulation named as boosted space-time scheme. A pair of labeling map is opted for this scheme by maximizing the utility function in asymptotic coding gain under the supposition of error-free feedback. Furthermore, labeling diversity is employed with the space-time forward error correction (FEC) codes like convolution and turbo codes for point to point communication scenarios. Since non-line of sight (NLOS) point to point communication scenario is assumed therefore Rayleigh distributed channel model is selected which remains constant for single space-time block code (STBC). The STBC used in boosted space-time scheme is non-orthogonal therefore maximum likelihood (ML) soft de-mapper is employed at the receiver. The convergence of iterative decoding between soft de-mapper and decoder is analyzed by the extrinsic information transfer (EXIT) chart. The validity of the convergence of iterative decoding is also verified by Monte Carlo simulation. It is evident from the simulation results that bit error rate (BER) performance of boosted space-time scheme is superior to the conventional space-time scheme under identical conditions. Moreover, the boosted space-time scheme with convolution code performs better for low signal-to-noise ratio (SNR) regime in comparison to boosted space-time scheme with turbo code. However, for high SNR regime, turbo coding scheme outperforms the convolution scheme. In addition, turbo coding scheme provides better BER performance to the convolution scheme under non-iterative decoding.
ISSN No.:2151-1403
Translation or Not:no
Date of Publication:2018-01-01
Co-author:Mughal, Shoaib,Umar, Rahim
Correspondence Author:Mughal, Shoaib,Yang Fengfan
Date of Publication:2018-01-01