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العنوان
Waveform candidates and Massive MIMO in 5G cellular system \
المؤلف
Moharam,Mohamed Hussein Badr el-din
هيئة الاعداد
باحث / محمد حسين بدر الدين محرم
مشرف / هادية محمد سعيد الحناوي
مشرف / ممدوح السيد جودة
مناقش / عبد الحليم عبد النبي ذكري
تاريخ النشر
2019
عدد الصفحات
112p.:
اللغة
الإنجليزية
الدرجة
الدكتوراه
التخصص
الهندسة الكهربائية والالكترونية
تاريخ الإجازة
1/1/2019
مكان الإجازة
جامعة عين شمس - كلية الهندسة - قسم هندسة الإلكترونيات والاتصالات الكهربية
الفهرس
Only 14 pages are availabe for public view

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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.
Enhanced Particle Swarm Optimization hybrid Clipping Partial Transmit Sequence (EPSO hybrid C-PTS) and Enhanced harmony Search Optimization hybrid Clipping Partial Transmit Sequence (EHS hybrid C-PTS) are proposed which are used for optimization to solve the problem of PAPR in FBMC system. The first optimization method is a joint optimization of PSO based Cauchy mutation which is applied on the hybrid clipping PTS. The second optimization method is considered as harmony search improvement by adapting the pitch adjustment rate (PAR), also bandwidth of adjustment (bw) to be updated dynamically to select minimum PAPR value.
The two optimization method applied on the proposed scheme to show the success of obtaining optimum weighting factor which helps to reduce the PAPR.
Simulation is performed to analyze the PAPR, BER, PSD and complexity analysis performance of the FBMC based OQAM of the proposed techniques. The simulation results show the efficiency of the proposed techniques in achieving perfect PAPR reduction value of 2.9 dB which, improves the results than previously proposed solutions by a percentage of 70%-72%.
The contribution of this thesis focuses on four main topics: 1) the performance analysis of applying FBMC communication in the transmitter and receiver using FBMC FMT, SMT and CMT systems 2) the performance analysis of adding identical 32×32 MIMO antennas configuration at FBMC communication with rician fading channel, 3) the performance analysis of applying proposed PAPR reduction methods on FBMC to evaluate CCDF, BER, complexity analysis and PSD, and 4) the hardware measurement analysis of using software defined radio (SDR) implementation for the proposed method.