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Small-cell on/off control scheme based on the number of users

Small-cell on/off control scheme based on the number of users

자료유형
학위논문
개인저자
박진웅, 朴珍雄
서명 / 저자사항
Small-cell on/off control scheme based on the number of users / Jin Woong Park
발행사항
Seoul :   Graduate School, Korea University,   2020  
형태사항
iv, 54장 : 도표 ; 26 cm
기타형태 저록
Small-cell on/off control scheme based on the number of users   (DCOLL211009)000000127333  
학위논문주기
학위논문(박사)-- 고려대학교 대학원: 컴퓨터·전파통신공학과, 2020. 2
학과코드
0510   6YD36   380  
일반주기
지도교수: 오성준  
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참고문헌: 장 51-54
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비통제주제어
on/off control , sleep mode control , energy saving , Small cell,,
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100 1 ▼a 박진웅, ▼g 朴珍雄
245 1 0 ▼a Small-cell on/off control scheme based on the number of users / ▼d Jin Woong Park
260 ▼a Seoul : ▼b Graduate School, Korea University, ▼c 2020
300 ▼a iv, 54장 : ▼b 도표 ; ▼c 26 cm
500 ▼a 지도교수: 오성준
502 1 ▼a 학위논문(박사)-- ▼b 고려대학교 대학원: ▼c 컴퓨터·전파통신공학과, ▼d 2020. 2
504 ▼a 참고문헌: 장 51-54
530 ▼a PDF 파일로도 이용가능; ▼c Requires PDF file reader(application/pdf)
653 ▼a on/off control ▼a sleep mode control ▼a energy saving ▼a Small cell
776 0 ▼t Small-cell on/off control scheme based on the number of users ▼w (DCOLL211009)000000127333
900 1 0 ▼a Park, Jin Woong, ▼e
900 1 0 ▼a 오성준, ▼g 吳誠埈, ▼e 지도교수
945 ▼a KLPA

전자정보

No. 원문명 서비스
1
Small-cell on/off control scheme based on the number of users (16회 열람)
PDF 초록 목차

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 과학도서관/학위논문서고/ 청구기호 0510 6YD36 380 등록번호 123064007 도서상태 대출가능 반납예정일 예약 서비스 B M
No. 2 소장처 과학도서관/학위논문서고/ 청구기호 0510 6YD36 380 등록번호 123064008 도서상태 대출가능 반납예정일 예약 서비스 B M

컨텐츠정보

초록

Small-cell technology has become one of the key features in modern wireless communications, increasing the total data rate and covering the hot-spot and shadowing areas of a macro-cell. However, challenges still exist in realizing and optimizing the small-cell networks. One technological barrier in optimal operations of small-cell networks is related to energy efficiency. To improve the energy efficiency of small-cells, small-cell on/off control schemes have been proposed in which small-cells turn on when the number of active users reaches a certain threshold value called on-threshold. However, there are several issues in applying the small-cell on/off control schemes to practical situations and theoretical analysis of small-cell on/off schemes has not yet been extensively published.
In the first part of the dissertation, a distributed iterative threshold control scheme with minimal increase in hardware complexity is proposed for practical implementations. The basic idea of the scheme is to increase or decrease the on-threshold value of a small-cell adaptively based on the average data-rate of the small-cell networks. Using simulations, it is showed that the proposed scheme reduces energy consumption without degrading the quality of service and improves system adaptability to network traffic time-variation compared with conventional on/off control schemes. 
In the second part of the dissertation, various analytical formulas for performance metrics of small-cell on/off schemes are provided to understand and optimize the small-cell on/off control schemes. For analysis, the small-cell on/off control schemes are modeled as Markov chains with the number of active users as the state variable. Next, closed form expressions for sleep-mode and active-mode steady state probabilities are derived. Using these expressions, analytical expressions for various quantities such as sleep- and active-mode probabilities, switching probability, expected small-cell energy consumption, the average consumed energy per transmitted bit, expected sleep-mode duration, expected energy saving, and energy saving probability are obtained. In particular, it is showed that successful energy saving with on/off control is possible if and only if the on-threshold value is greater than or equal to a certain minimum threshold value by proving that the expected small-cell power consumption is a strictly decreasing function of the on-threshold value. Moreover, a mathematical expression is provided to obtain the optimum on-threshold value that minimizes the average consumed energy per transmitted bit. With simulation results, not only the validity of the analytical results is verified but also it is discussed how the theoretical results can be used in system performance evaluation and optimization. 

목차

1 Introduction 1
2 Distributed Iterative Threshold Control Scheme 6
 2.1 Introduction  6
 2.2 System Model   7
 2.3 Previous works on Sleep mode control  8
  2.3.1 Dynamic small cell on-off scheme 8
  2.3.2 Dual-threshold sleep mode control scheme  9
 2.4 Distributed Iterative Threshold Control 9
 2.5 Simulation Result and Analysis 12
 2.6 Summary 16
3 User-Number Threshold Based Small-Cell On/Off Control Scheme: Performance Evaluation and Optimization 17
 3.1 Introduction  17
 3.2 System Model  18
  3.2.1 Network layout and base-station model 18
  3.2.2 Small-cell on/off schemes and Markov chains  19
 3.3 Performance of Single and Dual Threshold On/Off Schemes  22
  3.3.1 Steady state probabilities  23
  3.3.2 The range of on-threshold values for successful energy saving 24
  3.3.3 Optimum on-threshold value that minimizes the average consumed energy per transmitted bit   25
  3.3.4 Expected sleep-mode duration, expected energy saving and probability of energy saving failure 26
 3.4 Numerical results  28
 3.5 Summary   37
 3.6 Lemma 3 37
 3.7 Proof of Theorem 1   39
 3.8 Proof of Corollary 1   43
 3.9 Proof of Theorem 2  44
 3.10 Proof of Corollary 2 45
 3.11 Proof of Lemma 2  45
 3.12 Proof of Theorem 3  46
 3.13 Proof of Proposition 1  46
 3.14 Proof of Proposition 2  47
 3.15 Proof of Proposition 3  47
4 Conclusion 49
Bibliography 51