An analysis of the Novel Dynamic Time-Frequency Division Duplexing Scheme
Dylan Beniga
A project to understand the future of communication technology that will bring people together more than ever.
The purpose of the project is to develop simulation models of both Dynamic Time-Frequency Division Duplexing (DTFDD) and previously existing duplexing schemes using MATLAB code and then to verify if DTFDD is really displays performance enhancements over previous methods.
A duplex communication system is one in which two or more connected devices can communicate to each other in both directions and traditionally a half-duplex (HD) base station (BS) operates in either the time-division duplex (TDD) mode or the frequency-division duplex (FDD) mode in order to receive and transmit information from/to its users. DTFDD is a proposed duplexing method that combines both FDD and TDD to create a scheme that theoretically results in significant performance improvements over the traditional methods. The purpose of the project is to develop simulation models of both Dynamic Time-Frequency Division Duplexing (DTFDD) and previously existing duplexing schemes using MATLAB code and then to verify if DTFDD is really displays performance enhancements over previous methods.
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A duplex communication system is one in which two or more connected devices can communicate to each other in both directions and traditionally a half-duplex (HD) base station (BS) operates in either the time-division duplex (TDD) mode or the frequency-division duplex (FDD) mode in order to receive and transmit information from/to its users. DTFDD is a proposed duplexing method that combines both FDD and TDD to create a scheme that theoretically results in significant performance improvements over the traditional methods. The purpose of the project is to develop simulation models of both Dynamic Time-Frequency Division Duplexing (DTFDD) and previously existing duplexing schemes using MATLAB code and then to verify if DTFDD is really displays performance enhancements over previous methods.
