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Development of wireless coexistence systems

Development of wireless coexistence systems

서명 / 저자사항
Development of wireless coexistence systems / Chenglong Shao
Seoul :   Graduate School, Korea Unversity,   2019  
viii, 116장 : 삽화, 도표 ; 26 cm
기타형태 저록
Development of Wireless Coexistence Systems   (DCOLL211009)000000083186  
학위논문(박사)-- 고려대학교 대학원: 컴퓨터·전파통신공학과, 2019. 2
0510   6YD36   355  
지도교수: 이원준  
참고문헌: 장 105-116
이용가능한 다른형태자료
PDF 파일로도 이용가능;   Requires PDF file reader(application/pdf)  
Wireless coexistence , Single-technology interference , Cross-technology interference,,
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085 0 ▼a 0510 ▼2 KDCP
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100 1 ▼a 昭成龍
245 1 0 ▼a Development of wireless coexistence systems / ▼d Chenglong Shao
246 1 1 ▼a 무선 공존 시스템의 개발
260 ▼a Seoul : ▼b Graduate School, Korea Unversity, ▼c 2019
300 ▼a viii, 116장 : ▼b 삽화, 도표 ; ▼c 26 cm
500 ▼a 지도교수: 이원준
502 1 ▼a 학위논문(박사)-- ▼b 고려대학교 대학원: ▼c 컴퓨터·전파통신공학과, ▼d 2019. 2
504 ▼a 참고문헌: 장 105-116
530 ▼a PDF 파일로도 이용가능; ▼c Requires PDF file reader(application/pdf)
653 ▼a Wireless coexistence ▼a Single-technology interference ▼a Cross-technology interference
776 0 ▼t Development of Wireless Coexistence Systems ▼w (DCOLL211009)000000083186
900 1 0 ▼a Shao, Chenglong, ▼e
900 1 0 ▼a 이원준, ▼e 지도교수
945 ▼a KLPA


No. 원문명 서비스
Development of wireless coexistence systems (41회 열람)
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No. 1 소장처 과학도서관/학위논문서고/ 청구기호 0510 6YD36 355 등록번호 123060845 도서상태 대출가능 반납예정일 예약 서비스 B M
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No. 소장처 청구기호 등록번호 도서상태 반납예정일 예약 서비스
No. 1 소장처 세종학술정보원/5층 학위논문실/ 청구기호 0510 6YD36 355 등록번호 153081447 도서상태 대출가능 반납예정일 예약 서비스



The last two decades have witnessed the prosperity of various wireless technologies such as RFID (radio frequency identification), Wi-Fi, ZigBee, and Bluetooth. As the key solutions to provide the last-mile connectivity for the Internet of Things (IoT), they are adopted to form complementary wireless systems in terms of power consumption, data rate, and so forth. Unfortunately, coexistence among wireless devices inevitably incurs interference which is a ticking time bomb for this type of “IoTification.” Typically, wireless devices compete for access to the same frequency spectrum. When relatively few devices are operating in an environment, everything works fine. As more devices are added, interference problems begin to crop up, leading to reduced throughput. This necessitates interference harmonization guidelines to achieve better coexistence among such devices.

In this thesis, we propose several novel solutions to solve interference problems for building better wireless coexistence systems. Particularly, we focus on RFID, RF-powered sensor networks (RPSNs), Wi-Fi, ZigBee, and Bluetooth, which are the representative enabling technologies in the IoT era. Regarding RFID and RPSNs, we are concerned about the single-technology interference issues arising when numerous RFID tags and RFpowered sensor devices coexist in an RFID system and an RPSN, respectively. Operating in the same 2.4 GHz unlicensed band, Wi-Fi, ZigBee, and Bluetooth are studied from the perspective of cross-technology interference when they coexist in the same environment.

Firstly, we propose ProTaR, a Probabilistic Tag Retardation-based protocol to address the RFID tag collision/interference issue in the midst of missing RFID tag identification in a large-scale RFID system. ProTaR leverages a mask to distill partial bits from the 96-bit ID of each tag for the characterization of tag uniqueness. In addition, a bit vector is constructed by an RFID reader to inform each tag of the transmissions of others. This idea successfully eliminates the tag collisions and hence makes full utilization of tag responses. Experimental results show that ProTaR achieves 100% identification accuracy regardless of missing tag ratio. Furthermore, extensive simulations present that ProTaR enables a time-efficiency improvement of up to 88% in comparison with existing solutions.

Secondly, we present a subtle MAC (Medium Access Control)-layer design in an RPSN, called FarMac, which aims at interference-free data collection from numerous sensor devices that can be recharged via the emerging wireless power transfer (WPT) technique. FarMac leverages a centralized algorithm to achieve multi source WPT for maximizing the transferred power to a lethargic sensor device that needs energy replenishment before conveying its data. In addition, each lethargic sensor device executes a distributed algorithm to compute its necessary energy harvesting time. Furthermore, FarMac achieves concurrent WPT and data collection via an interference cancellation technique. Simulation results show that FarMac guarantees network resilience and improves network throughput by up to 41% in comparison with a benchmark approach.

Thirdly, we take aim to design a novel Wi-Fi interference-resilient ZigBee decoder, called PolarScout, when low-power ZigBee networks coexist with Wi-Fi. Unlike several existing solutions that need clear signal preamble, tremendous signal strength difference between ZigBee and Wi-Fi, and Wi-Fi interference recognition in prior to ZigBee decoding, PolarScout aims at direct ZigBee decoding in a more generic and challenging case where Wi-Fi interference may feature a wide range of power levels and arises within a ZigBee packet at an arbitrary position. At the heart of PolarScout lies a subtle shell-shaping technique that harnesses a customized pulse to smooth the shell of a group of successive signal samples. Experimental results validate the superiority of PolarScout and its resilience to a wide range of Wi-Fi interference types.

Fourthly, we present BuSAR, a novel approach to account for the coexistence/interference problem between Bluetooth piconets and dense Wi-Fi networks. BuSAR embodies the first work to aim at mitigating the cross technology interference from Bluetooth to highly-dense Wi-Fi networks in a distributed manner. At the heart of BuSAR lies a subtle technique called Bluetooth slot availability randomization, which exploits the redundancy of erroneous Bluetooth packets for Wi-Fi throughput boost. With BuSAR adopted, multiple Bluetooth piconets are guaranteed to operate independently and only a lightweight algorithm is needed to be implemented at each Bluetooth device. Both theoretical analysis and experimental results are provided to show the feasibility of BuSAR.


1 Introduction 1
 1.1 Background 1
 1.2 Motivation 3
 1.3 Thesis Outline 4
2 State of The Art 6
 2.1 Single-Technology Coexistence 6
  2.1.1 Tag Coexistence in RFID Systems 6
  2.1.2 Sensor Coexistence in RF-Powered Sensor Networks 7
 2.2 Cross-Technology Coexistence 8
  2.2.1 Coexistence between ZigBee and Wi-Fi Networks 8
  2.2.2 Coexistence between Bluetooth and Wi-Fi Networks 10
3 Missing RFID Tag Identification under Large-Scale Tag Coexistence 12
 3.1 Introduction 12
 3.2 Preliminaries 14
  3.2.1 System Model and Problem Formulation 14
  3.2.2 Motivation 16
 3.3 ProTaR Design 16
  3.3.1 Phase 1: PID Formation 17
  3.3.2 Phase 2: Bit Vector Construction 17
  3.3.3 Phase 3: Request Broadcasting 20
  3.3.4 Phase 4: Tag Transmission 20
  3.3.5 Phase 5: Discombobulating Tag Retransmission 21
 3.4 Experimental Results 23
 3.5 Simulative Evaluation 26
  3.5.1 Setup and Performance Metrics 26
  3.5.2 ProTaR Investigation 26
  3.5.3 Performance Comparison 29
 3.6 Discussion 31
 3.7 Conclusion 32
4 Heterogeneous Sensor Coexistence-aware MAC Design in RF-Powered Sensor Networks 33
 4.1 Introduction 33
 4.2 Preliminaries 36
  4.2.1 System Model 36
  4.2.2 Multi-SK-based WPT 37
 4.3 FarMac Design 39
  4.3.1 Stage 1: Channel Access for LSDs 39
  4.3.2 Stage 2: Power Transfer SK Allocation 41
  4.3.3 Stage 3: Charging Time Determination 43
  4.3.4 Stage 4: Channel Access for ESDs 45
  4.3.5 Stage 5: Concurrent WPT and Data Collection 45
  4.3.6 Stage 6: Data Transmission Termination 46
 4.4 Performance Evaluation 47
  4.4.1 Setup and Performance Metrics 47
  4.4.2 FarMac Evaluation for Regular Topology 48
  4.4.3 FarMac Investigation for Random Topology 49
 4.5 Conclusion 52
5 Taming Coexisting Wi-Fi Interference in ZigBee Networks 53
 5.1 Introduction 53
 5.2 Preliminaries 56
  5.2.1 ZigBee Primer 56
  5.2.2 Wi-Fi Primer 58
 5.3 PolarScout Core: Shell-Shaping 58
  5.3.1 The Stimulus for Shell-Shaping 58
  5.3.2 Shell-Shaping in Practice 61
  5.3.3 Post-Shell-Shaping Operation 63
 5.4 PolarScout Enhancement 63
  5.4.1 CFO Estimation 63
  5.4.2 Frame Arrival Detection 64
  5.4.3 Frame Demarcation and Channel Estimation 66
  5.4.4 Interference-aware Shell-Shaping 67
 5.5 PolarScout Discussion 68
 5.6 Performance Evaluation 69
  5.6.1 Implementation and Settings 69
  5.6.2 Pre-processing-related Operations 70
  5.6.3 Practical Shell-Shaping 73
  5.6.4 PolarScout-based ZigBee Decoding 74
 5.7 Conclusion 77
6 Interference Mitigation for Better Bluetooth/Wi-Fi Coexistence 78
 6.1 Introduction 78
 6.2 Preliminaries 80
  6.2.1 Bluetooth Primer 81
  6.2.2 Wi-Fi Primer 82
  6.2.3 Problem Domain 83
 6.3 BuSAR Core: Slot Availability Randomization 83
  6.3.1 Motivation 83
  6.3.2 Design Details 84
  6.3.3 Determination of p 86
 6.4 BuSAR Enhancement 87
  6.4.1 SAM-oriented Packet Format 87
  6.4.2 SAM Channel Selection 88
  6.4.3 Clock Drift Compensation 88
 6.5 Discussion 89
  6.5.1 Theoretical Analysis 89
  6.5.2 Change of BuSAR Environment and BT Link Type 93
 6.6 Performance Evaluation 94
  6.6.1 Prototype Implementation 94
  6.6.2 Microbenchmark 96
  6.6.3 BuSAR in B2W Scenario 97
  6.6.4 BuSAR in W2B Scenario 98
  6.6.5 Comparison among BuSAR and Other BT Modes 100
 6.7 Conclusion 102
7 Conclusion 103