Bit Error Probability Llr
Request full-text Computation of Instantaneous Bit Error Probability from Log-Likelihood RatioArticle with 93 Reads1st Bijan ROHANI2nd Kambiz HOMAYOUNFARAbstractThis paper presents bit error probability for qpsk a simple and accurate method for computing the Bit Error bit error probability for bpsk Probability (BEP) from Log-Likelihood Ratio (LLR). We emphasize the difference between BEP and LLR in bit error probability matlab order to rule out the direct use of LLR as a measure of transmission quality. This in turn leads to a simple algebraic expression for mapping LLR to BEP. In effect, we derive a reliability metric that gives the probability that a decoded bit is incorrect, and works as a stochastic time-series for Adaptive Modulation and Coding (AMC), Channel Quality Indication (CQI), and physical layer procedures.Do you want to read the rest of this article?Request full-text CitationsCitations4ReferencesReferences3CQI Measurement and Reporting in LTE: A New Framework[Show abstract] [Hide abstract] ABSTRACT: One problem with channel quality measurement in Long-Term Evolution (LTE) is how to define channel quality. Another is how to report it. We present a new framework for calculating the Channel Quality Indicator (CQI) and describe methods for efficient CQI reports that comply with LTE signaling schemes.Article · Kambiz HomayounfarBijan RohaniReadCapacity Enhancement of VoIP over LTE by Stochastic Adaptive Modulation and Coding[Show abstract] [Hide abstract] ABSTRACT: The Erlang capacity of Voice over Internet Protocol (VoIP) over Long-Term Evolution (LTE) is enhanced by using stochastically adaptive modulation and coding (SAMC). A Channel Quality Indicator (CQI) is derived which makes no assumption about radio channel characteristics and is therefore highly robust against mobility patterns. In effect, SAMC minimizes the number of physical layer (PHY) re-transmissions caused by Hybrid Automatic-Repeat Request (HARQ). Simulation results indicate that SAMC doubles Erlang capacity of VoIP over LTE whi
from GoogleSign inHidden fieldsBooksbooks.google.com - Using a simple yet rigorous approach, Algebraic and Stochastic Coding Theory makes the subject of coding theory easy to understand for readers with a thorough knowledge of digital arithmetic, Boolean and modern algebra, and probability theory. It explains the underlying principles of coding theory and...https://books.google.com/books/about/Algebraic_and_Stochastic_Coding_Theory.html?id=AXSTnm1nXzwC&utm_source=gb-gplus-shareAlgebraic and Stochastic Coding TheoryMy libraryHelpAdvanced Book SearchBuy eBook - $87.16Get this book in printCRC PressAmazon.comBarnes&Noble.comBooks-A-MillionIndieBoundAll sellers»Algebraic and Stochastic Coding TheoryDave https://www.researchgate.net/publication/253619401_Computation_of_Instantaneous_Bit_Error_Probability_from_Log-Likelihood_Ratio K. Kythe, Prem K. KytheCRC Press, Mar 5, 2012 - Computers - 512 pages 0 Reviewshttps://books.google.com/books/about/Algebraic_and_Stochastic_Coding_Theory.html?id=AXSTnm1nXzwCUsing a simple yet rigorous approach, Algebraic and Stochastic Coding Theory makes the subject of coding theory easy to understand for readers with a thorough knowledge of digital arithmetic, Boolean and https://books.google.com/books?id=AXSTnm1nXzwC&pg=PA302&lpg=PA302&dq=bit+error+probability+llr&source=bl&ots=4g4VI9QshW&sig=Chs3tzawtyR0TG_mDRj6W7uXEgw&hl=en&sa=X&ved=0ahUKEwjl--nEp7DPAhUf3YMKHXZcAlQQ6AEITjAH modern algebra, and probability theory. It explains the underlying principles of coding theory and offers a clear, detailed description of each code. More advanced readers will appreciate its coverage of recent developments in coding theory and stochastic processes. After a brief review of coding history and Boolean algebra, the book introduces linear codes, including Hamming and Golay codes. It then examines codes based on the Galois field theory as well as their application in BCH and especially the Reed–Solomon codes that have been used for error correction of data transmissions in space missions. The major outlook in coding theory seems to be geared toward stochastic processes, and this book takes a bold step in this direction. As research focuses on error correction and recovery of erasures, the book discusses belief propagation and distributions. I
be down. Please try the request again. Your cache administrator is webmaster. Generated Sun, 02 Oct 2016 12:47:47 GMT by s_hv995 (squid/3.5.20)
be down. Please try the request again. Your cache administrator is webmaster. Generated Sun, 02 Oct 2016 12:47:47 GMT by s_hv995 (squid/3.5.20)