Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/427466
Title: Low complexity signal detector for FBMC QAM system
Researcher: Subalatha M
Guide(s): Jayashri S and Raja J
Keywords: Engineering and Technology
Computer Science
Telecommunications
Low Complexity Signal Detector
Filter Bank Multicarrier
Multiuser Detection
Multi User Multiple Input Multiple Output
5G Wireless Communication
Offset Quadrature Amplitude Modulation
University: Anna University
Completed Date: 2021
Abstract: In recent years due to the benefits of multi-user scenarios and high data rates, filter-bank multicarrier (FBMC) system has emerged as a prominent technique in next-generation 5G wireless communication systems. In most cases, it is coupled with an Offset QAM (OQAM) modulation to maximize the Nyquist rate and spectrum efficiency. However, this is achieved at the cost of an inherent accumulative imaginary interference called intrinsic interference. In this research, some of the prominent issues related to the existing FBMC-OQAM are explored and its potential integrity constraints with existing MIMO and signal detection techniques also studied. Meanwhile, to meet the growing demands over system capacity and the data rate requirements, 5G networks widely prefer Millimeter-wave communication which impacts transceiver design and Quality of service. On the other side compactness and energy-efficiency requirements of 5G devices presents new challenges in modeling wireless transceivers. Also, there is growing concern about the achievable quality of service (QoS) over multi-user channel environments due to the inclusion of MU MIMO systems to meet the high traffic rate. Thus, future wireless systems have to satisfy the following demands: i) Improved adaptability with existing wireless design methodologies which gives superior quality with basic essential services. ii) Potential to meet the minimum quality of service under imperfect channel conditions; iii) Robust to multi-user channel environments while supporting more number of users, and iv) Area and performance efficiency for compact device modeling. newline
Pagination: xvii, 129p.
URI: http://hdl.handle.net/10603/427466
Appears in Departments:Faculty of Information and Communication Engineering

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01_title.pdfAttached File25.07 kBAdobe PDFView/Open
02_prelim pages.pdf1.27 MBAdobe PDFView/Open
03_contents.pdf16.32 kBAdobe PDFView/Open
04_abstracts.pdf130.92 kBAdobe PDFView/Open
05_chapter1.pdf405.68 kBAdobe PDFView/Open
06_chapter2.pdf430.44 kBAdobe PDFView/Open
07_chapter3.pdf200.19 kBAdobe PDFView/Open
08_chapter4.pdf186 kBAdobe PDFView/Open
09_chapter5.pdf632.57 kBAdobe PDFView/Open
10_chapter6.pdf266.94 kBAdobe PDFView/Open
11_annexures.pdf242.33 kBAdobe PDFView/Open
80_recommendation.pdf143.59 kBAdobe PDFView/Open
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