PAPR Reduction Technique for Universal Filter Multi Carrier
Keywords:
5G, Multi carrier systems, OFDM, UFMC, PAPR, Firefly algorithmAbstract
With the rapid growth of wireless communication in recent years, the need for high-speed data transmission has been
increased. The mobile telecommunication industry faces the problem of providing the technology that can able to support a variety of
services ranging from voice communication with a bit rate of few kbps to wireless multimedia in which bit rate up to Gbps. Many
system waveforms have been proposed for 5G communication where UFMC is an adequate waveform candidate for 5G communication
network due to MIMO compatability, but it also suffers from Peak to average power ratio(PAPR) as in Orthogonal Frequency Division
Multiplexing (OFDM). This project concentrates on reducing the PAPR for universal filtered multicarrier signal by using signal
scrambling technique with natural inspired search algorithms as optimizers. The signal scrambling technique is a base method for
reducing the crest factor in multicarrier communication which inherits the same method for UFMC with Fireflies Algorithm (FA) as
optimizers which is a natural inspired search algorithm.