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Matlab활용 범용 필터링을 위한 새로운 SLM-UFMC 모델 5G 기술에서의 전력비연구


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Matlab활용 범용 필터링을 위한 새로운 SLM-UFMC 모델 5G 기술에서의 전력비연구

Farooq Sijal Shawqi, Lukman Audah, Salama A.Mostafa,Saraswathy Shamini Gunasekaran,외 저 | 아진

출간일
2020-07-12
파일형태
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16 M
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콘텐츠 소개
목차
한줄서평

콘텐츠 소개

The new generation of wireless communication systems has adopted dierent
waveforms. The universal filtered multicarrier is one of the adopted candidates
that has symmetry with various numerology designs. However, the high peak to
average power ratio is one of the major limitations faced by universal filter
multicarrier (UFMC) designers. Moreover, recent studies utilize cubic metric along
with the peak to average power ratio (PAPR) to show the power back-oeect of the
signal in which the PAPR metric identifies the maximum peak and the cubic metric
(CM) identifies the Out of Band emission and In-Band distortion. Most of the
current solutions, such as amplitude clipping, tone reservation, and active
constellation extension, decrease the PAPR but cause degradation to the bit error
rate. Selected mapping is one of the promising techniques that is recently used to
solve the PAPR and CM problems without causing bit error rate (BER) degradation.
In this paper, the selected mapping (SLM) is integrated with UFMC to reduce the
PAPR and CM without aecting the BER of 5G networks. The SLM-UFMC solution
model is simulated by MATLAB and the results show that the SLM-UFMC model
presents better PAPR and CM performance without BER degradation. The PAPR
has been decreased to 1.5 dB with respect to eight-phase rotation vectors and the
CM decreased to 1.25 dB compared to the conventional UFMC.

목차

제 1편 : MATLAB 기본편
1. MATLAB 기본사용편 ···················· 003
1.1 MATLAB 시작하기 ·························· 003
명령창(command Window)에서의 입력 005
도움말(Help)의 이용 ······························· 007
1.2 입력 오류의 수정 ····························· 008
계산의 중지 ·············································· 009
MATLAB 종료하기 ································· 009
1.3 연산과 변수의 할당 ·························· 009
연산자 우선순위 ······································· 011
내장함수 ···················································· 012
1.4 데이터의 표현 ··································· 013
1.5 변수의 처리 ······································· 015
변수 이름 ·················································· 015
clear 명령어 ············································· 016
특수변수와 정수 ······································· 017
whos 명령어 ············································ 017
1.6 벡터와 행렬 ······································· 018
벡터 ··························································· 018
행렬 ·························································· 023
스크린 출력과 억제 ································· 024
1.7 랜덤(Random)수와 복소수 ·············· 025
랜덤 수 ····················································· 025
복소수 ······················································· 027
1.8 기호를 이용한 연산 ·························· 028
기호식에서의 치환 ··································· 029
1.9 코드 파일 ·········································· 030
스크립트 코드 파일 ································· 030
코멘트의 추가 ·········································· 032
함수 코드 파일 ···································· 033
사용자 정의함수 ······································ 036
1.10 간단한 그래프의 생성 ····················· 037
ezplot을 이용한 그래프 ·························· 037
plot을 이용한 그래프 ·························· 039
3차원 그래프 ··········································· 042
1.11 MATLAB과 엑셀(Excel)의 접속 043 엑셀 데이터 불러오기 ····························· 043
데이터 가져오기 옵션 ························· 046
스크립트 생성 옵션 ································· 049
함수 생성 옵션 ········································ 049
생성된 데이터를 엑셀파일로 저장하기 ·· 050

제 2편 : 연구논문
A New SLM-UFMC Model for Universal Filtered Multi-Carrier to
Reduce Cubic Metric and Peak to Average Power Ratio in 5G
Technology

1. Introduction 51
2. Materials and methods 54
3. Mathematical Models 55
4. UFMC Based SLM System 58
5. Results and Discussion 59
6. Conclusions 67
7. References 68

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