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Graduate School of Ajou University
Department of Artificial Intelligence Convergence Network
3. Theses(Master)
Precoding methods of 1-Bit Transmit Signal Vectors for Downlink Massive MIMO Systems
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.advisor | 김재현 | - |
| dc.contributor.author | 박성열 | - |
| dc.date.accessioned | 2022-11-29T02:32:31Z | - |
| dc.date.available | 2022-11-29T02:32:31Z | - |
| dc.date.issued | 2021-02 | - |
| dc.identifier.other | 30662 | - |
| dc.identifier.uri | https://dspace.ajou.ac.kr/handle/2018.oak/20056 | - |
| dc.description | 학위논문(석사)--아주대학교 일반대학원 :AI융합네트워크학과,2021. 2 | - |
| dc.description.tableofcontents | 1. Introduction 1 1.1 Background and motivation 1 1.2 Contributions 3 1.3 Thesis organization 3 2. Preliminaries 5 2.1 Notations 5 2.2 System Model 6 3. Proposed Transmit-Signal Vectors 8 3.1 Definitions and QAM Constellation 8 3.2 Formulation of Feasibility condition 12 3.3 Optimization Problem 16 4. Complexity Efficient Algorithm 19 4.1 Complexity efficient method 19 4.2 Computation complexity 20 5. Simulation Results 24 6. Conclusion 29 References 30 | - |
| dc.language.iso | eng | - |
| dc.publisher | The Graduate School, Ajou University | - |
| dc.rights | 아주대학교 논문은 저작권에 의해 보호받습니다. | - |
| dc.title | Precoding methods of 1-Bit Transmit Signal Vectors for Downlink Massive MIMO Systems | - |
| dc.title.alternative | QAM 변조 기반 1비트 DAC 하향 링크 거대 MIMO 시스템 프리코딩 기법 | - |
| dc.type | Thesis | - |
| dc.contributor.affiliation | 아주대학교 일반대학원 | - |
| dc.contributor.alternativeName | Sungyeal Park | - |
| dc.contributor.department | 일반대학원 AI융합네트워크학과 | - |
| dc.date.awarded | 2021. 2 | - |
| dc.description.degree | Master | - |
| dc.identifier.localId | 1203328 | - |
| dc.identifier.uci | I804:41038-000000030662 | - |
| dc.identifier.url | http://dcoll.ajou.ac.kr:9080/dcollection/common/orgView/000000030662 | - |
| dc.subject.keyword | 1-Bit | - |
| dc.subject.keyword | Massive MIMO | - |
| dc.subject.keyword | Precoding | - |
| dc.subject.keyword | Terabit | - |
| dc.description.alternativeAbstract | We consider multi-user massive multiple-input single-output systems (MU-MISO) for downlink with QAM constellation. Massive MISO systems is a key technique for many users in future wireless systems. The base station (BS) employs 1-bit digital-to-analog converters (DACs) for low cost and low quantization power consumption. In this systems, Non-linearity precoding method is big issue for this systems due to 1-bit DAC. We first construct a feasibility condition that guarantee the transmit vector make a noiseless received signal is placed in own decision region in QAM constellation. For the robustness at a noise, We set up a optimization propblem to a mixed integer linear programming (MILP). We propose efficient 1-bit precoding method based on the problem. Via simulation results, we demonstrate the proposed structure is feasible and robust at noise. Also, The proposed method show better performance and complexity gain than existing 1-bit precoding with QAM constellations. | - |
| dc.title.subtitle | QAM constellations | - |
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