الفهرس 
IntroductionOnly 14 pages are availabe for public view
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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