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http://hdl.handle.net/10603/427466
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DC Field | Value | Language |
---|---|---|
dc.coverage.spatial | Low complexity signal detector for FBMC QAM system | |
dc.date.accessioned | 2022-12-18T09:22:25Z | - |
dc.date.available | 2022-12-18T09:22:25Z | - |
dc.identifier.uri | http://hdl.handle.net/10603/427466 | - |
dc.description.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 | |
dc.format.extent | xvii, 129p. | |
dc.language | English | |
dc.relation | p.117-128 | |
dc.rights | university | |
dc.title | Low complexity signal detector for FBMC QAM system | |
dc.title.alternative | ||
dc.creator.researcher | Subalatha M | |
dc.subject.keyword | Engineering and Technology | |
dc.subject.keyword | Computer Science | |
dc.subject.keyword | Telecommunications | |
dc.subject.keyword | Low Complexity Signal Detector | |
dc.subject.keyword | Filter Bank Multicarrier | |
dc.subject.keyword | Multiuser Detection | |
dc.subject.keyword | Multi User Multiple Input Multiple Output | |
dc.subject.keyword | 5G Wireless Communication | |
dc.subject.keyword | Offset Quadrature Amplitude Modulation | |
dc.description.note | ||
dc.contributor.guide | Jayashri S and Raja J | |
dc.publisher.place | Chennai | |
dc.publisher.university | Anna University | |
dc.publisher.institution | Faculty of Information and Communication Engineering | |
dc.date.registered | ||
dc.date.completed | 2021 | |
dc.date.awarded | 2021 | |
dc.format.dimensions | 21cm | |
dc.format.accompanyingmaterial | None | |
dc.source.university | University | |
dc.type.degree | Ph.D. | |
Appears in Departments: | Faculty of Information and Communication Engineering |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
01_title.pdf | Attached File | 25.07 kB | Adobe PDF | View/Open |
02_prelim pages.pdf | 1.27 MB | Adobe PDF | View/Open | |
03_contents.pdf | 16.32 kB | Adobe PDF | View/Open | |
04_abstracts.pdf | 130.92 kB | Adobe PDF | View/Open | |
05_chapter1.pdf | 405.68 kB | Adobe PDF | View/Open | |
06_chapter2.pdf | 430.44 kB | Adobe PDF | View/Open | |
07_chapter3.pdf | 200.19 kB | Adobe PDF | View/Open | |
08_chapter4.pdf | 186 kB | Adobe PDF | View/Open | |
09_chapter5.pdf | 632.57 kB | Adobe PDF | View/Open | |
10_chapter6.pdf | 266.94 kB | Adobe PDF | View/Open | |
11_annexures.pdf | 242.33 kB | Adobe PDF | View/Open | |
80_recommendation.pdf | 143.59 kB | Adobe PDF | View/Open |
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