الفهرس | Only 14 pages are availabe for public view |
Abstract This thesis analyzes the Peak to Average power Ratio (PAPR) reduction performance in 5G communication. In this thesis Filter Bank Multicarrier (FBMC) is used as a waveform candidate for fifth generation 5G communication. High PAPR is always a problem in multicarrier communication system. FBMC is also a multicarrier communication system, so it also suffers from high PAPR problem. To reduce the PAPR, several PAPR reduction techniques have been proposed over the last few decades. selective level mapping, partial transmit sequence, clipping and Companding are promising techniques, which are used in PAPR reduction of multicarrier communication system. The theoretical principles behind FBMC are discussed elaborating on the advantages and disadvantages of FBMC system. This is followed by investigation of the PAPR in FBMC transceiver including theoretical analysis and simulation. Therefore, one of the main thesis objectives is to conduct a comparative study of the most current PAPR reduction techniques. This leads to fully understand the advantages and disadvantages of each one separately. Filter Bank Multi-Carrier (FBMC) has been proposed to solve the problems of spectral efficiency and adjacent channel leakage power as the one of waveform in 5G communication system. This solution has added implications for the Peak-to-Average Power Ratio (PAPR) problem. Previous works are listed, analyzed, and compared to get a clear picture of the challenge and the required issues to be handled. Moreover, two new PAPR reduction techniques are proposed and compared with others in literatures. This thesis, proposes two novel trends in mitigating the peak average of power problem in Filter bank multicarrier FBMC system as waveform candidate in fifth generation 5G communication system. The first proposed technique is divided to two parts, the first part introduced a propose approach based on Convolutional Constellation Mapping “CCM”. The second one based on merge between proposed CCM with companding (A law and μ law) technique. The second proposed technique also divided to two parts, first part introduced approach referred to as selective Iterative Clipping and Filter “SCaF” and its performance evaluation. The second part depend on a combination of SCaF with conventional Partial Transmit Sequence PTS PAPR technique, and it is referred to as selective Iterative Clipping Filtering _ Partial Transmit Sequence “SCaF_PTS” which gives significant performance improvement compared to the clipping and PTS techniques taken separately. Our proposed techniques simulations resulted in a significant reduction in PAPR, and slightly change the Bit Error Rate BER and Power spectral density PSD as compared to the original FBMC system All the simulations are performed in MATLAB program |