臺灣博碩士論文加值系統

高可靠低延遲通訊(ultra-reliable low latency communications, URLLC)為第五代行動通訊中的新應用。在5G系統設計中有一項重要的議題為增強型行動寬頻(enhanced mobile broadband, eMBB)與URLLC之多工。這篇論文探討無指示訊號之多工，使用此做法時需執行盲目分類。為了要增強URLLC資料之可信度，我們提出使用時空區塊編碼(space-time block code ) 和時頻區塊編碼(space-frequency block code ) 之盲分類方法，主要是計算一簡單前置編碼之URLLC資料之相關性。為了再進一步提升效能表現，我們也提出使用疊代解碼之方法，其中我們將STBC視為內碼並將通道碼視為外碼。模擬顯示所提出之方法可以達到低分類錯誤率且同時擁有可靠之傳輸。

Ultra-reliable low-latency communication (URLLC) is a new service in 5G mobile communications. One important issue in 5G system design is the multiplexing of enhanced-mobile-broadband (eMBB) and URLLC traffics. This thesis investigates the indicator-free multiplexing scenario in which blind classification is conducted at receiver. To enhance the reliability of URLLC data, we propose including space-time block code (STBC) or space-frequency block code (SFBC) in a blind classification scheme, conducted by calculating the correlation of URLLC data precoded by a simple method. To further improve that performance, we also propose using an iterative decoding scheme treating the STBC as an inner and the channel code as an outer code. Simulations show that the proposed methods can achieve low classification error rate and at the same time have reliable transmission.

摘要.................................................................................... I
Abstract................................................................................II
Acknowledgements ..................................................................... III
Contents .............................................................................. IV
List of Tables ........................................................................ VI
List of Figures........................................................................VII
Chapter 1 Introduction
1.1 Motivation...........................................................................1
1.2 Review ..............................................................................2
1.3 Proposed algorithms .................................................................3
1.4 Outline..............................................................................4
Chapter 2 eMBB and URLLC multiplexing system in 5G
2.1 Introduction of eMBB, URLLC and mMTC ................................................5
2.2 eMBB and URLLC multiplexing for downlink.............................................7
2.3 Multiplexing method with indicator / indicator-free..................................9
2.4 Existing method.....................................................................11
Chapter 3 Blind classification with STBC and SFBC
3.1 Introduction of STBC and SFBC ......................................................14
3.2 Proposed blind classification in MISO system........................................17
3.2.1 Performance analysis for MISO system..............................................22
3.3 Proposed blind classification in MIMO system........................................26
3.3.1 Performance analysis for MIMO system..............................................29
3.4 Further discussions ................................................................30
3.5 High dimensional STBC...............................................................32
Chapter 4 Iterative decoding of STBC/SFBC encoded URLLC data
4.1 Proposed method.....................................................................35
4.2 Iterative detection and decoding....................................................36
4.2.1 Turbo code........................................................................37
4.2.2 Turbo equalization ...............................................................39
4.3 MIMO soft de-mapping................................................................41
4.3.1 Sphere decoding...................................................................42
Chapter 5 Simulations
5.1 STBC/SFBC blind classification......................................................46
5.2 Iterative detection and decoding....................................................52
Chapter 6 Conclusions...................................................................58
References..............................................................................60

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