Publications
Detailed Information
Bayesian OMP-based Joint Active User Detection and Channel Estimation for Massive Machine Type Communications : mMTC에서의 BOMP 기반 사용자 검출 및 채널 추정 기법
DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | 이광복 | - |
dc.contributor.author | 이의택 | - |
dc.date.accessioned | 2018-05-29T03:27:43Z | - |
dc.date.available | 2018-05-29T03:27:43Z | - |
dc.date.issued | 2018-02 | - |
dc.identifier.other | 000000149372 | - |
dc.identifier.uri | https://hdl.handle.net/10371/141507 | - |
dc.description | 학위논문 (석사)-- 서울대학교 대학원 : 공과대학 전기·정보공학부, 2018. 2. 이광복. | - |
dc.description.abstract | 본 논문에서는, mMTC에서 사용자 검출과 채널을 동시에 추정하기 위한 방법을 제시한다. 이를 위해 사후 확률 최대화 추정 문제를 만들어, 사용자 동작 확률, 노이즈 및 채널 분포와 같은 통계적 사전 정보를 활용할 수 있도록 한다. 또한 해당 문제를 Bayesian greedy 알고리즘인 BOMP를 적용하여 푼다. 이것을 통해 기존 방법 대비 사용자 검출과 채널 추정 성능이 향상됨을 확인한다. | - |
dc.description.abstract | In this paper, we propose a novel method to jointly estimate the activities and channel coefficients of devices in massive machine-type communications (mMTC) systems. We formulate a maximum a posteriori probability (MAP) estimation problem by exploiting the statistical prior information including the channel distribution and device activity probability. The formulated MAP problem is solved by a greedy algorithm, named Bayesian orthogonal matching pursuit (Bayesian OMP, BOMP). We observe that the proposed method improves the activity detection and channel estimation performance compared to the conventional methods. | - |
dc.description.tableofcontents | 1 INTRODUCTION 1
2 Bayesian OMP-based Joint Active User Detection and Channel Estimation for Massive Machine Type Communications 3 2.1 System Model 3 2.2 Proposed Method 5 2.2.1 A Bayesian Formulation 5 2.2.2 BOMP Algorithm 6 2.2.3 Computational complexity 7 3 Performance Analysis 9 3.1 Simulation Setup 10 3.2 Simulation Results 11 4 Conclusion 17 Abstract (In Korean) 20 | - |
dc.format | application/pdf | - |
dc.format.extent | 643357 bytes | - |
dc.format.medium | application/pdf | - |
dc.language.iso | en | - |
dc.publisher | 서울대학교 대학원 | - |
dc.subject | Massive machine-type communications | - |
dc.subject | compressed sensing | - |
dc.subject | bayesian orthogonal matching pursuit | - |
dc.subject.ddc | 621.3 | - |
dc.title | Bayesian OMP-based Joint Active User Detection and Channel Estimation for Massive Machine Type Communications | - |
dc.title.alternative | mMTC에서의 BOMP 기반 사용자 검출 및 채널 추정 기법 | - |
dc.type | Thesis | - |
dc.contributor.AlternativeAuthor | Lee Eui Taek | - |
dc.description.degree | Master | - |
dc.contributor.affiliation | 공과대학 전기·정보공학부 | - |
dc.date.awarded | 2018-02 | - |
- Appears in Collections:
- Files in This Item:
Item View & Download Count
Items in S-Space are protected by copyright, with all rights reserved, unless otherwise indicated.