Joint training method for transmission defects based on component hierarchy

With the advancements in information and communication technologies, our world is now a global village. Efficient and novel technologies are now available for the effective transmission of different kinds of data, along with future challenges for making these transmissions more and more effective. Various joint training procedures have been developed to improve the performance delay and throughput of communication systems. These architectures can make the communication persistent in different scenarios and enhance the capacity of a channel. A study was conducted to show the advantages of various joint training procedures for the overcoming of different transmission defects. With the implementation of these procedures, different issues in transmission like power and resource allocation, channel capacity, adaptability, and many more can be resolved very efficiently. After the thorough revision of the existing literature, the present study has identified some of the most valuable features from it. From these features, the most prominent ones are selected and their weights are computed with the use of the Analytical Hierarchy Process (AHP). To help people choose the best training methods, the MCDM procedure called TOPSIS was used to rank the available options with the help of the weights from AHP.