Full-duplex QoS Optimization using Enhanced firefly Algorithm

Abstract

The major goal is to determine how to allocate resources in a full-duplex cloud radio access network. Furthermore, due of the dispersed characteristic of the Portable Broadcasting Antenna that decreases self-interference. A full-duplex communication system enables information to be sent and processed at the same time among terminals. It has a bandwidth efficiency that is double that of a half-duplex data transmission. The goal of the research is to determine the best power allocation for the receiver transmitter whenever the flow of information is at its highest. The Enhanced Firefly Algorithm is used for efficiency. It's an improvement process that operates in the same way that a firefly's fascination to strobe does. The stronger light encourages the less brilliant firefly to come closer. It's an iterative procedure, and also the community of fireflies finally propagates on the strongest one. The matching power value is logged whenever the optimum inverted information rate is reached, and it is used to distribute amongst radio transmitter and several station receiver heads. Energy parameters are fixed to select the optimal derivative. Lastly, using NS2 to depict graphical representations, the suggested technique is superior to generalized benders decomposition (GBD)-based resource allocation (GRA) algorithm.