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Multiple delay estimation using genetic algorithm-based MCMC in non-orthogonal random access
journal contributionposted on 2020-03-01, 00:00 authored by R Han, L Bai, J Yi, J Liu, Jinho ChoiJinho Choi
In machine-type communication (MTC), since multiple active devices are located randomly in a cell, the arrival time of multiple signals can be different. A priori information on the arrival time of multiple signals is helpful to estimate more specific parameters such as the number of signals, which is essential to employ the successive interference cancellation (SIC) to improve throughput of a non-orthogonal random access (NORA) system. In this letter, we propose an approach to estimate the round-trip delay (RTD) of multiple signals based on Markov chain Monte Carlo (MCMC) and Genetic Algorithm (GA). Simulation results show our proposed GA-based MCMC method can achieve high performance with low complexity.
JournalIEEE wireless communications letters
Pagination398 - 401
Publication classificationC1 Refereed article in a scholarly journal
Science & TechnologyTechnologyComputer Science, Information SystemsEngineering, Electrical & ElectronicTelecommunicationsComputer ScienceEngineeringEstimationComplexity theoryGenetic algorithmsDelaysSilicon carbideMarkov processesMonte Carlo methodsMarkov chain Monte Carlogenetic algorithmmultiple delay estimationmachine-type communicationsnon-orthogonal random access