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Used in bercoding and BERTool Performance Results via Simulation Section Overview Using Simulated Data to Compute Bit and Symbol Error Rates Example: Computing Error Rates Comparing Symbol Error Rate and Bit Error http://ieeexplore.ieee.org/iel1/26/12645/00582796.pdf Rate Performance Results via the Semianalytic Technique When to Use the Semianalytic Technique Procedure for the Semianalytic Technique Example: Using the Semianalytic Technique Theoretical Performance Results Computing Theoretical Error Statistics Plotting Theoretical Error Rates Comparing Theoretical and Empirical Error Rates Error Rate Plots Section Overview Creating Error Rate Plots Using semilogy Curve Fitting for Error Rate Plots Example: Curve Fitting for an Error https://www.mathworks.com/help/comm/ug/bit-error-rate-ber.html Rate Plot BERTool Start BERTool The BERTool Environment Computing Theoretical BERs Using the Semianalytic Technique to Compute BERs Run MATLAB Simulations Use Simulation Functions with BERTool Run Simulink Simulations Use Simulink Models with BERTool Manage BER Data Error Rate Test Console Creating a System Methods Allowing You to Communicate with the Error Rate Test Console at Simulation Run Time Debug Mode Run Simulations Using the Error Rate Test Console Bit Error Rate Simulations For Various Eb/No and Modulation Order Values This is machine translation Translated by Mouse over text to see original. Click the button below to return to the English verison of the page. Back to English × Translate This Page Select Language Bulgarian Catalan Chinese Simplified Chinese Traditional Czech Danish Dutch English Estonian Finnish French German Greek Haitian Creole Hindi Hmong Daw Hungarian Indonesian Italian Japanese Korean Latvian Lithuanian Malay Maltese Norwegian Polish Portuguese Romanian Russian Slovak Slovenian Spanish Swedish Thai Turkish Ukrainian Vietnamese Welsh MathWorks Machine Translation The automated translation of this page is provided by a general purpose third party translator tool. MathWorks does not warrant, and disclaims all liability for, th
About Articles Submission Guidelines Research Open Access Approximations of the packet error rate under quasi-static fading in direct and relayed linksPaulFerrand1Email author, Jean-MarieGorce1 and ClaireGoursaud1EURASIP Journal on Wireless Communications and Networking20152015:12DOI: http://jwcn.eurasipjournals.springeropen.com/articles/10.1186/s13638-014-0239-4 10.1186/s13638-014-0239-4© Ferrand et al.; licensee Springer.2015Received: 24June2014Accepted: 30December2014Published: 25January2015 AbstractThe packet error rate (PER) is a metric of choice to compute the practical performance of communication systems experiencing block fading, e.g., fading processes whose coherence time is relatively slow when compared to the symbol transmission rate. For these types of channels, we derive a closed-form asymptotic expression which approximates the value of the error rate PER for high signal-to-noise ratio (SNR). We also provide another approximation based on a unit-step formulation of the symbol error rate (SER). We show that the two approximations are related and may be derived from one another, thereby allowing us to obtain closed-form approximations of the block fading PER in both coded and uncoded systems. We then show how these approximations may be used bit error rate in practice, through the derivation of a packet error outage (PEO) metric covering the case where the links experience shadowing on top of block fading, as well as asymptotically optimal power allocations in relay channels under a block fading hypothesis. Keywords Packet error rate Slow fading channels Block fading channel Relay channel 1 IntroductionMost of the existing literature on performance evaluation of fading channels is concentrated on the symbol error rate of the links. A good review of these results as well as an interesting framework for the evaluation of symbol error rates in fading channels is available in the book of Simon and Alouini [1]. These results are focused on the symbol error rate of fading channels; when the fading is relatively fast compared to the symbol transmission duration, with proper interleaving, one can extend them to packet error rates [2]. On the other hand, when the fading is much slower than the packet transmission time, one has to consider that most symbols in the packet will experience the same fading state - a model known as block fading or quasi-static fading. A metric of choice for perform
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