Waveform candidates and Massive MIMO in 5G cellular system

Abstract

The aim of this dissertation is analyzing the performance to reduce PAPR in 5G connection. An important aim of the 5G technology is attaining high data rate (10 Gbps). Because there exist limited frequency resources, the spectrum frequency shall be used efficiently to obtain a high data rate. Also to use white space, there is a need for cognitive radio networks. In a very low cognitive radio network, the outside radiation band is required. OFDM isn`t selected in 5G system due to reduce bandwidth efficiency. 5G connections need a novel waveform like FBMC that has a lot of uses in different 5G projects worldwide. A problem that always faces the multicarrier communication system is the High PAPR. Since FBMC is a multi-carrier communication system, it as well is affected by PAPR tricky. Active constellation extension(ACE), Tone reservation(TR), partial transmits sequence, clipping &filtering are four promising methods used to reduce PAPR for a FBMC system. In this thesis a hybrid technique of TR and ACE is used, this technique shows an outstanding performance improvement in comparison to the hybrid scheme of TR and ACE techniques taken separately. Also, the hybrid clipping PTS has given better PAPR reduction performance than that used in TR-ACE.