Error Rate Analysis For Bit Loaded Coded Mimo Ofdm
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Request full-text Error-rate analysis for bit-loaded coded MIMO-OFDMArticle in IEEE Transactions on Vehicular Technology 59(5):2340 - 2351 · July 2010 with 20 ReadsDOI: 10.1109/TVT.2010.2041804 · Source: IEEE Xplore1st Mohammad Mohammadnia-Avval2nd Chris Snow3rd Lutz Lampe40.03 · University of British Columbia - VancouverAbstractBit-loaded orthogonal frequency-division multiplexing (OFDM) with convolutional coding is a powerful technique for transmission over quasi-static frequency-selective fading channels. Further enhancements in data rate are achieved by combining loaded OFDM with multiple-input-multiple-output (MIMO) transmission. Motivated by the lack of appropriate error-rate analysis techniques for this popular type of transmission system, in http://ieeexplore.ieee.org/iel5/25/5484898/05404412.pdf?arnumber=5404412 this paper, we develop a novel analytical method for bit-error-rate (BER) and frame-error-rate (FER) estimation of bit-loaded coded OFDM and MIMO-OFDM systems using singular value decomposition (SVD), operating over frequency-selective quasi-static channels with nonideal interleaving. Then, we introduce three different applications of the proposed analysis. First, we compare the performance of several OFDM bit-loading schemes and propose a hybrid loading https://www.researchgate.net/publication/224110992_Error-rate_analysis_for_bit-loaded_coded_MIMO-OFDM scheme that selects the best loading for each channel realization from a number of candidates. Second, we introduce three adaptive interleaving schemes: 1) selecting the best interleaver from a number of predefined interleavers; 2) a novel adaptive bit-interleaving algorithm based on the pairwise error probability; and 3) a spatial interleaving scheme for MIMO-OFDM-SVD systems with separate information sources. Third, we introduce an adaptive coded-modulation algorithm by using our BER and FER estimation techniques.Do you want to read the rest of this article?Request full-text CitationsCitations8ReferencesReferences35M-QAM BER Analysis of ZF MIMO Transmissions with Stochastic Interference Model for LTE"ise-Ratio (SNR) domains, without considering the symbol mapping. The authors of [4] give BER calculation for Orthogonal Space-Time Block Codes (OSTBCs), [5] investigates the BER of Linear Minimum Mean-Square Error (LMMSE) receiver with. In [6] analytical expressions have been given for the BER of convolutional coded MIMO system for high SNR domain. [7] provides calculations for the case of bit-loaded Orthogonal Frequency-Division Multiplexing (OFDM). The goal of this paper is to provide a general solution for the BER calculation of MIMO, considering a
Request full-text Bit error rate analysis of coded OFDM for digital audio broadcasting system, employing parallel concatenated convolutional turbo codesArticle · April 2015 with 21 ReadsDOI: 10.1109/SPICES.2015.7091461 1st Naveen Jacob2nd https://www.researchgate.net/publication/283864539_Bit_error_rate_analysis_of_coded_OFDM_for_digital_audio_broadcasting_system_employing_parallel_concatenated_convolutional_turbo_codes U. Sripati11.45 · National Institute of Technology KarnatakaAbstractIn this paper we present http://www.academia.edu/10158810/Performance_Evaluation_of_Various_Channel_Coding_Techniques_for_Mimo-Ofdm a study of Bit Error Rate (BER), for Digital Audio Broadcasting (DAB) system, employing Coded OFDM with different channel coding schemes. Analysis is carried out for convolutional coded and turbo coded data in an Additive White Gaussian Channel (AWGN) based on different constraint lengths and code generator polynomials error rate used for coding. A comparative study on the computational complexity is also done by applying an audio signal and measuring the data processing time per frame, on computers with different processor speeds. It is shown that a coding gain of approximately 6 dB is achieved using turbo coding when compared to convolutional coding, at a cost of higher computational complexity.Do error rate analysis you want to read the rest of this article?Request full-text CitationsCitations1ReferencesReferences16BER Performance of Polar Coded OFDM in Multipath Fading"Soft-decision FEC decoding makes use of the fact that some bits are received less ambiguously than others. Convolutional codes and turbo codes been used with OFDM [5]–[7], but we have not seen any work that used polar codes with OFDM. Polar codes are a new form of FEC introduced in 2009 by Arıkan, who proved they can achieve the capacity of any binary memoryless symmetric (BMS) channel with efficient encoding and decoding [8]. "[Show abstract] [Hide abstract] ABSTRACT: Orthogonal Frequency Division Multiplexing (OFDM) has gained a lot of popularity over the years. Due to its popularity, OFDM has been adopted as a standard in cellular technology and Wireless Local Area Network (WLAN) communication systems. To improve the bit error rate (BER) performance, forward error correction (FEC) codes are often utilized to protect signals against unknown interference and channel degradations. In this paper, we apply soft-decision FEC, more specifically polar codes and a convolutional code, to an OFDM system in a quasi-st
is experimenting with adspdfPerformance Evaluation of Various Channel Coding Techniques for Mimo-Ofdm6 PagesPerformance Evaluation of Various Channel Coding Techniques for Mimo-OfdmUploaded byIjesrt JournalViewsconnect to downloadGetpdfREAD PAPERPerformance Evaluation of Various Channel Coding Techniques for Mimo-OfdmDownloadPerformance Evaluation of Various Channel Coding Techniques for Mimo-OfdmUploaded byIjesrt JournalLoading PreviewSorry, preview is currently unavailable. You can download the paper by clicking the button above.GET pdf ×CloseLog InLog InwithFacebookLog InwithGoogleorEmail:Password:Remember me on this computerorreset passwordEnter the email address you signed up with and we'll email you a reset link.Need an account?Click here to sign up Job BoardAboutPressBlogPeoplePapersTermsPrivacyCopyrightWe're Hiring!Help Center Find new research papers in:PhysicsChemistryBiologyHealth SciencesEcologyEarth SciencesCognitive ScienceMathematicsComputer Science Academia © 2016