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Codes_MandarKulkarni_DynamicTDDSelfbackhaul

于 2019-03-22 发布
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代码说明：

说明：  5G network with NOMA performance analysis

文件列表：

Codes_MandarKulkarni_DynamicTDDSelfbackhaul, 0 , 2018-05-23
Codes_MandarKulkarni_DynamicTDDSelfbackhaul\.DS_Store, 6148 , 2016-12-16
__MACOSX, 0 , 2018-05-23
__MACOSX\Codes_MandarKulkarni_DynamicTDDSelfbackhaul, 0 , 2018-05-23
__MACOSX\Codes_MandarKulkarni_DynamicTDDSelfbackhaul\._.DS_Store, 212 , 2016-12-16
Codes_MandarKulkarni_DynamicTDDSelfbackhaul\MonteCarloSimulations, 0 , 2018-05-23
Codes_MandarKulkarni_DynamicTDDSelfbackhaul\MonteCarloSimulations\createnetwork.m, 1956 , 2016-12-16
__MACOSX\Codes_MandarKulkarni_DynamicTDDSelfbackhaul\MonteCarloSimulations, 0 , 2018-05-23
__MACOSX\Codes_MandarKulkarni_DynamicTDDSelfbackhaul\MonteCarloSimulations\._createnetwork.m, 212 , 2016-12-16
Codes_MandarKulkarni_DynamicTDDSelfbackhaul\MonteCarloSimulations\ScheduleUsers.m, 15778 , 2016-12-16
__MACOSX\Codes_MandarKulkarni_DynamicTDDSelfbackhaul\MonteCarloSimulations\._ScheduleUsers.m, 212 , 2016-12-16
Codes_MandarKulkarni_DynamicTDDSelfbackhaul\MonteCarloSimulations\AssociateUEandSBS.m, 981 , 2016-12-16
__MACOSX\Codes_MandarKulkarni_DynamicTDDSelfbackhaul\MonteCarloSimulations\._AssociateUEandSBS.m, 268 , 2016-12-16
Codes_MandarKulkarni_DynamicTDDSelfbackhaul\MonteCarloSimulations\computemetric.m, 9673 , 2016-10-21
__MACOSX\Codes_MandarKulkarni_DynamicTDDSelfbackhaul\MonteCarloSimulations\._computemetric.m, 212 , 2016-10-21
Codes_MandarKulkarni_DynamicTDDSelfbackhaul\MonteCarloSimulations\computeperformance.m, 2782 , 2018-05-23
__MACOSX\Codes_MandarKulkarni_DynamicTDDSelfbackhaul\MonteCarloSimulations\._computeperformance.m, 212 , 2018-05-23
Codes_MandarKulkarni_DynamicTDDSelfbackhaul\MonteCarloSimulations\plotAssociations.m, 1036 , 2016-04-11
__MACOSX\Codes_MandarKulkarni_DynamicTDDSelfbackhaul\MonteCarloSimulations\._plotAssociations.m, 176 , 2016-04-11
Codes_MandarKulkarni_DynamicTDDSelfbackhaul\MonteCarloSimulations\createchannel.m, 3728 , 2016-10-27
__MACOSX\Codes_MandarKulkarni_DynamicTDDSelfbackhaul\MonteCarloSimulations\._createchannel.m, 268 , 2016-10-27
Codes_MandarKulkarni_DynamicTDDSelfbackhaul\MonteCarloSimulations\main.m, 4026 , 2016-12-16
__MACOSX\Codes_MandarKulkarni_DynamicTDDSelfbackhaul\MonteCarloSimulations\._main.m, 268 , 2016-12-16
Codes_MandarKulkarni_DynamicTDDSelfbackhaul\MonteCarloSimulations\config.m, 3634 , 2018-05-23
__MACOSX\Codes_MandarKulkarni_DynamicTDDSelfbackhaul\MonteCarloSimulations\._config.m, 212 , 2018-05-23
Codes_MandarKulkarni_DynamicTDDSelfbackhaul\MonteCarloSimulations\README.txt, 1279 , 2016-12-16
__MACOSX\Codes_MandarKulkarni_DynamicTDDSelfbackhaul\MonteCarloSimulations\._README.txt, 268 , 2016-12-16
__MACOSX\Codes_MandarKulkarni_DynamicTDDSelfbackhaul\._MonteCarloSimulations, 212 , 2018-05-23
Codes_MandarKulkarni_DynamicTDDSelfbackhaul\AnalysisCodes, 0 , 2018-05-23
Codes_MandarKulkarni_DynamicTDDSelfbackhaul\AnalysisCodes\Lambda.m, 433 , 2016-09-27
__MACOSX\Codes_MandarKulkarni_DynamicTDDSelfbackhaul\AnalysisCodes, 0 , 2018-05-23
__MACOSX\Codes_MandarKulkarni_DynamicTDDSelfbackhaul\AnalysisCodes\._Lambda.m, 212 , 2016-09-27
Codes_MandarKulkarni_DynamicTDDSelfbackhaul\AnalysisCodes\RateULs.m, 5187 , 2016-11-29
__MACOSX\Codes_MandarKulkarni_DynamicTDDSelfbackhaul\AnalysisCodes\._RateULs.m, 212 , 2016-11-29
Codes_MandarKulkarni_DynamicTDDSelfbackhaul\AnalysisCodes\Lambdadash.m, 425 , 2016-09-27
__MACOSX\Codes_MandarKulkarni_DynamicTDDSelfbackhaul\AnalysisCodes\._Lambdadash.m, 212 , 2016-09-27
Codes_MandarKulkarni_DynamicTDDSelfbackhaul\AnalysisCodes\kappa.m, 312 , 2016-09-27
__MACOSX\Codes_MandarKulkarni_DynamicTDDSelfbackhaul\AnalysisCodes\._kappa.m, 212 , 2016-09-27
Codes_MandarKulkarni_DynamicTDDSelfbackhaul\AnalysisCodes\RateDLs.m, 5144 , 2016-11-29
__MACOSX\Codes_MandarKulkarni_DynamicTDDSelfbackhaul\AnalysisCodes\._RateDLs.m, 212 , 2016-11-29
Codes_MandarKulkarni_DynamicTDDSelfbackhaul\AnalysisCodes\ULSINR.m, 9104 , 2016-12-16
__MACOSX\Codes_MandarKulkarni_DynamicTDDSelfbackhaul\AnalysisCodes\._ULSINR.m, 212 , 2016-12-16
Codes_MandarKulkarni_DynamicTDDSelfbackhaul\AnalysisCodes\RateDL.m, 2306 , 2016-12-16
__MACOSX\Codes_MandarKulkarni_DynamicTDDSelfbackhaul\AnalysisCodes\._RateDL.m, 212 , 2016-12-16
Codes_MandarKulkarni_DynamicTDDSelfbackhaul\AnalysisCodes\subplus.m, 46 , 2016-09-27
__MACOSX\Codes_MandarKulkarni_DynamicTDDSelfbackhaul\AnalysisCodes\._subplus.m, 212 , 2016-09-27
Codes_MandarKulkarni_DynamicTDDSelfbackhaul\AnalysisCodes\RateDLb.m, 2795 , 2016-11-29
__MACOSX\Codes_MandarKulkarni_DynamicTDDSelfbackhaul\AnalysisCodes\._RateDLb.m, 212 , 2016-11-29
Codes_MandarKulkarni_DynamicTDDSelfbackhaul\AnalysisCodes\Lul_access.m, 3197 , 2016-12-25
__MACOSX\Codes_MandarKulkarni_DynamicTDDSelfbackhaul\AnalysisCodes\._Lul_access.m, 263 , 2016-12-25
Codes_MandarKulkarni_DynamicTDDSelfbackhaul\AnalysisCodes\Assocprob.m, 496 , 2016-12-16
__MACOSX\Codes_MandarKulkarni_DynamicTDDSelfbackhaul\AnalysisCodes\._Assocprob.m, 212 , 2016-12-16
Codes_MandarKulkarni_DynamicTDDSelfbackhaul\AnalysisCodes\RateULb.m, 2842 , 2016-11-29
__MACOSX\Codes_MandarKulkarni_DynamicTDDSelfbackhaul\AnalysisCodes\._RateULb.m, 212 , 2016-11-29
Codes_MandarKulkarni_DynamicTDDSelfbackhaul\AnalysisCodes\Ldl_backhaul.m, 2470 , 2016-12-25
__MACOSX\Codes_MandarKulkarni_DynamicTDDSelfbackhaul\AnalysisCodes\._Ldl_backhaul.m, 263 , 2016-12-25
Codes_MandarKulkarni_DynamicTDDSelfbackhaul\AnalysisCodes\Fad_typical.m, 1259 , 2016-11-16
__MACOSX\Codes_MandarKulkarni_DynamicTDDSelfbackhaul\AnalysisCodes\._Fad_typical.m, 212 , 2016-11-16
Codes_MandarKulkarni_DynamicTDDSelfbackhaul\AnalysisCodes\RateDLm.m, 4437 , 2016-11-29
__MACOSX\Codes_MandarKulkarni_DynamicTDDSelfbackhaul\AnalysisCodes\._RateDLm.m, 212 , 2016-11-29
Codes_MandarKulkarni_DynamicTDDSelfbackhaul\AnalysisCodes\RateUL.m, 2331 , 2016-12-16
__MACOSX\Codes_MandarKulkarni_DynamicTDDSelfbackhaul\AnalysisCodes\._RateUL.m, 212 , 2016-12-16
Codes_MandarKulkarni_DynamicTDDSelfbackhaul\AnalysisCodes\Lul_backhaul.m, 2061 , 2016-12-25
__MACOSX\Codes_MandarKulkarni_DynamicTDDSelfbackhaul\AnalysisCodes\._Lul_backhaul.m, 263 , 2016-12-25
Codes_MandarKulkarni_DynamicTDDSelfbackhaul\AnalysisCodes\ffunc.m, 485 , 2016-09-27
__MACOSX\Codes_MandarKulkarni_DynamicTDDSelfbackhaul\AnalysisCodes\._ffunc.m, 212 , 2016-09-27
Codes_MandarKulkarni_DynamicTDDSelfbackhaul\AnalysisCodes\config.m, 3636 , 2016-12-16
__MACOSX\Codes_MandarKulkarni_DynamicTDDSelfbackhaul\AnalysisCodes\._config.m, 212 , 2016-12-16
Codes_MandarKulkarni_DynamicTDDSelfbackhaul\AnalysisCodes\RateULm.m, 4465 , 2016-11-29
__MACOSX\Codes_MandarKulkarni_DynamicTDDSelfbackhaul\AnalysisCodes\._RateULm.m, 212 , 2016-11-29
Codes_MandarKulkarni_DynamicTDDSelfbackhaul\AnalysisCodes\README.txt, 1715 , 2016-12-16
__MACOSX\Codes_MandarKulkarni_DynamicTDDSelfbackhaul\AnalysisCodes\._README.txt, 212 , 2016-12-16
Codes_MandarKulkarni_DynamicTDDSelfbackhaul\AnalysisCodes\F.m, 430 , 2016-09-27
__MACOSX\Codes_MandarKulkarni_DynamicTDDSelfbackhaul\AnalysisCodes\._F.m, 212 , 2016-09-27
Codes_MandarKulkarni_DynamicTDDSelfbackhaul\AnalysisCodes\Ldl_access.m, 3446 , 2016-12-25
__MACOSX\Codes_MandarKulkarni_DynamicTDDSelfbackhaul\AnalysisCodes\._Ldl_access.m, 263 , 2016-12-25
Codes_MandarKulkarni_DynamicTDDSelfbackhaul\AnalysisCodes\DLSINR.m, 9004 , 2016-12-16
__MACOSX\Codes_MandarKulkarni_DynamicTDDSelfbackhaul\AnalysisCodes\._DLSINR.m, 212 , 2016-12-16
Codes_MandarKulkarni_DynamicTDDSelfbackhaul\AnalysisCodes\VaryDLfrac_backhaulsplit.m, 1139 , 2016-11-23
__MACOSX\Codes_MandarKulkarni_DynamicTDDSelfbackhaul\AnalysisCodes\._VaryDLfrac_backhaulsplit.m, 212 , 2016-11-23
Codes_MandarKulkarni_DynamicTDDSelfbackhaul\AnalysisCodes\Upsilon.m, 604 , 2016-09-27
__MACOSX\Codes_MandarKulkarni_DynamicTDDSelfbackhaul\AnalysisCodes\._Upsilon.m, 212 , 2016-09-27
__MACOSX\Codes_MandarKulkarni_DynamicTDDSelfbackhaul\._AnalysisCodes, 212 , 2018-05-23
__MACOSX\._Codes_MandarKulkarni_DynamicTDDSelfbackhaul, 212 , 2018-05-23

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    通信原理课程设计，包括各种调制，信道编码等。有解释，图形，源码。(Communication theory course design, including modulation, channel coding. Have explained, graphics, source code.)
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    <精通MATLAB>根据这本书写的相应的运筹学里的源代码，都是最基本的算法，没有进行改进(<Proficient in MATLAB> According to this writing tacticians in the corresponding source code, are the most basic algorithm, no improvements)
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