HOME > 상세정보

상세정보

Measurement-driven SCell selection in LTE-A carrier aggregation

Measurement-driven SCell selection in LTE-A carrier aggregation

자료유형
학위논문
개인저자
이상민 李相敏
서명 / 저자사항
Measurement-driven SCell selection in LTE-A carrier aggregation / Sangmin Lee
발행사항
Seoul :   Graduate School, Korea University,   2018  
형태사항
iv, 80장 : 삽화(일부천연색), 도표 ; 26 cm
기타형태 저록
Measurement-driven SCell Selection in LTE-A Carrier Aggregation   (DCOLL211009)000000079851  
학위논문주기
학위논문(박사)-- 고려대학교 대학원: 컴퓨터학과(정보통신대학) 전산학전공, 2018. 2
학과코드
0510   6YD36   345  
일반주기
지도교수: 이원준  
서지주기
참고문헌: 장 78-80
이용가능한 다른형태자료
PDF 파일로도 이용가능;   Requires PDF file reader(application/pdf)  
비통제주제어
LTE-Advanced , Carrier Aggregation,,
000 00000nam c2200205 c 4500
001 000045932675
005 20180418103839
007 ta
008 171228s2018 ulkad bmAC 000c eng
040 ▼a 211009 ▼c 211009 ▼d 211009
085 0 ▼a 0510 ▼2 KDCP
090 ▼a 0510 ▼b 6YD36 ▼c 345
100 1 ▼a 이상민 ▼g 李相敏
245 1 0 ▼a Measurement-driven SCell selection in LTE-A carrier aggregation / ▼d Sangmin Lee
260 ▼a Seoul : ▼b Graduate School, Korea University, ▼c 2018
300 ▼a iv, 80장 : ▼b 삽화(일부천연색), 도표 ; ▼c 26 cm
500 ▼a 지도교수: 이원준
502 1 ▼a 학위논문(박사)-- ▼b 고려대학교 대학원: ▼c 컴퓨터학과(정보통신대학) 전산학전공, ▼d 2018. 2
504 ▼a 참고문헌: 장 78-80
530 ▼a PDF 파일로도 이용가능; ▼c Requires PDF file reader(application/pdf)
653 ▼a LTE-Advanced ▼a Carrier Aggregation
776 0 ▼t Measurement-driven SCell Selection in LTE-A Carrier Aggregation ▼w (DCOLL211009)000000079851
900 1 ▼a Lee, Sang Min, ▼e
900 1 0 ▼a 이원준 ▼g 李源埈, ▼e 지도교수
945 ▼a KLPA

전자정보

No. 원문명 서비스
1
Measurement-driven SCell selection in LTE-A carrier aggregation (25회 열람)
PDF 초록 목차

소장정보

No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 과학도서관/학위논문서고/ 청구기호 0510 6YD36 345 등록번호 123058357 도서상태 대출가능 반납예정일 예약 서비스 B M
No. 2 소장처 과학도서관/학위논문서고/ 청구기호 0510 6YD36 345 등록번호 123058358 도서상태 대출가능 반납예정일 예약 서비스 B M

컨텐츠정보

초록

Since Long-Term Evolution (LTE) commercial network has introduced, the user's mobile Internet experience has changed. Get high-quality video content wherever and whenever you need it, and get popular social network services with fast and easy Internet connectivity. In addition, the demand for higher video quality and larger smartphone displays increases mobile data traffic. According to the Cisco Visual Networking Index (VNI) released in 2017, worldwide mobile data traffic is expected to grow 63% in 2016 and sevenfold in 2016-2021. According to VNI, 4G traffic accounts for 69% of total traffic, while 4G connections represent only 26% of mobile connections in 2016, but mobile networking technology advances will result in a rapid increase in mobile data traffic per connection. In order to cope with such explosive mobile data traffic, mobile network operators will increase the spectrum bandwidth of LTE Advanced and LTE-Advanced Pro, and among the advanced technologies such as Carrier Aggregation (CA), Device-to-Device Communications and Cooperative MultiPoints provide greater capacity expansion by consolidating multiple component carriers for higher data rate transmission in discrete spectrum bands.
CA applied to Korea's commercial cellular network in mid-2013. However, CA performance in commercial networks has not been well studied yet. Therefore, this paper shows how CA technology is applied to a commercial network and how it is performed. Extensive drive field testing has been conducted to compare the performance of CA technologies and non-CA technologies in high-density urban and sub-urban areas using commercial eNBs and UEs. A downlink (DL) CA with a 2-component carrier (CC) of 30 MHz aggregate bandwidth (BW) was used in the network with a CC of 20 MHz BW in band 7 and one CC in band 5 to 10 MHz BW. Measurements During the sub-city drive test, the CA's maximum DL data rate was close to the theoretical peak transmission rate of 225 Mbps, reaching 203 Mbps and confirming that the average DL data rate was 76 Mbps. For comparison, the maximum DL data rate for a single carrier Band 7 was 141 Mbps and the same DL data rate was 51 Mbps.
However, the CA throughput level accounts for 97% and 96.6% of the sum of the two single-carrier throughputs for cities with high-density cities and sub-cities. In our analysis, this performance degradation is due to a lack of support for flexible PCell-SCell configurations using measurement event A6. The CA needs a very fast connection between the various MAC layer entities of the CC involved in the CA operation. Because this high-speed connection was not supported between different eNBs at the time of the drive test, the CA between two bands belonging to different eNBs was not possible. Also, one PCell can be mapped to only one SCell, even if the adjacent cell has better conditions than the current SCell. In this context, this paper proposes a load-aware Secondary Serving Cell (SCell) change algorithm for LTE-Advanced Carrier Aggregation (CA) system to improve cell edge performance. We found that the standardized SCell change algorithm had performance drawbacks because the actual measurement data was analyzed and event A6 was used only based on RSRP (Reference Signal Received Power) measurements. To this end, the proposed algorithm utilizes the signal-to-interference-and-noise ratio (SINR) and user throughput estimates of available physical resource blocks (PRBs) for SCell change decision. System-level simulation results show approximately 11% performance improvement in high-density urban scenarios compared to event A6-based SCell change algorithms.

목차

Abstract…………………………………………………...1
Chapter 1	Introduction	4
Chapter 2	Overview of LTE Systems	7
2.1	LTE System Architecture	11
2.2	LTE Protocol Architecture	15
Chapter 3	Overview of Carrier Aggregation	36
3.1	Motivation of Carrier Aggregation	36
3.2	Deployment Scenarios	37
3.3	Radio Protocol Impact	40
3.4	Cell Management	43
3.5	Mobility Management	47
Chapter 4	Performance of Carrier Aggregation	53
4.1	Measurement Environment	53
4.2	Measurement Results of CA systems	61
Chapter 5	Enhancement of SCell Selection Scheme	66
5.1	SCell change in LTE-Advanced	66
5.2	Proposed SCell Change Scheme	70
5.3	Performance Analysis of proposed scheme	72
Chapter 6	Conclusion and Remarks	76

관련분야 신착자료