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E-grāmata: Coexistence of IMT-Advanced Systems for Spectrum Sharing with FSS Receivers in C-Band and Extended C-Band

  • Formāts: EPUB+DRM
  • Izdošanas datums: 06-Dec-2017
  • Izdevniecība: Springer International Publishing AG
  • Valoda: eng
  • ISBN-13: 9783319705880
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  • Formāts: EPUB+DRM
  • Izdošanas datums: 06-Dec-2017
  • Izdevniecība: Springer International Publishing AG
  • Valoda: eng
  • ISBN-13: 9783319705880

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This book provides information regarding spectrum sharing between wireless systems, motivated by emerging new technologies. Readers will benefit from information about how to conduct research on the interference mitigation between IMT-Advanced and FSS. The author presents a deterministic analysis for interference to noise ratio (I/N), adjacent channel interference ratio (ACIR), field strength, and path loss propagation, in order to determine the separation distances in the co-channel interference (CCI) and adjacent channel Interference (ACI) scenarios. An analytical model is discussed, for the shielding mitigation technique based on the deterministic analysis of the propagation model. The shielding technique has been developed based on test bed measurements for evaluating the attenuation of the proposed materials. Matlab™ and Transfinite Visualyse Pro™ have been used as simulation tools for the verification of the obtained results, whereas the IMT-Advanced parameters have been represented by Worldwide Interoperability for Microwave Access (WiMAX) 802.16e.

1 Introduction
1(8)
1.1 Research Background
1(1)
1.2 Problem Statement
2(1)
1.3 Research Objective
3(1)
1.4 Scope of Work
4(1)
1.5 Book Significance and Contribution
5(1)
1.6 Book Outlines
6(3)
References
7(2)
2 Literature Review
9(34)
2.1 Introduction
9(1)
2.2 Radio Propagation
9(4)
2.2.1 Radio Coverage
10(1)
2.2.2 Radio Propagation Model
11(2)
2.3 Coexistence, Spectrum Sharing and ITU Allocation in 3400--4200 MHz Band
13(2)
2.4 Fixed Satellite Services Deployment Topology and System Design
15(1)
2.5 Vision for IMT-Advanced System Concept
16(1)
2.6 Interference Types and Assessment Methods
17(1)
2.7 Coexistence Criterion and Interference Model for Minimum Separation Distance
18(3)
2.8 Spectrum Allocation and Harmonization
21(2)
2.8.1 Traditional Compatibility and Sharing Analysis Method Using ACLR and ACS
22(1)
2.8.2 The Block Edge Mask (BEM) Approach
22(1)
2.8.3 The Power Flux Density (PFD) Mask Model
22(1)
2.8.4 Hybrid Model
23(1)
2.9 Spectrum Emission Mask
23(1)
2.10 Antenna Shielding Mitigation Technique
24(1)
2.11 Mitigation Using Smart Antenna Technologies
25(8)
2.11.1 Direction-of-Arrival Estimation
28(2)
2.11.2 Direction of Arrive Estimation Using MUSIC Algorithm
30(1)
2.11.3 High-Resolution DOA for Uniform Linear Array (ULA) Using Improved-MUSIC Algorithm
31(1)
2.11.4 The Angle of Arrived Signals Calculation
32(1)
2.12 Previous Assessments of Interference Between FSS and Broadband Terrestrial Services
33(3)
2.13 Summary
36(7)
References
36(7)
3 Interference Assessment Methodology
43(22)
3.1 Introduction
43(1)
3.2 Assessment Methodology
43(2)
3.3 Propagation Model Parameters
45(2)
3.4 Receiver Blocking and Adjacent Channel Interference Ratio (ACIR) Coexistence Model
47(4)
3.5 Interference Assessment Scenarios
51(3)
3.6 Minimum Separation Distance Simulation
54(9)
3.6.1 Simulated Parameters
55(1)
3.6.2 Protection Ratio Methodology
55(2)
3.6.3 Area Analysis
57(1)
3.6.4 Separation Distance Between WiMAX and FSS of 36 MHz
58(2)
3.6.5 Separation Distance Between WiMAX and FSS at 0.23 MHz
60(3)
3.7 Summary
63(2)
References
63(2)
4 FSS Shielding and Antenna Discrimination as an Interference Mitigation Technique
65(16)
4.1 Introduction
65(1)
4.2 Shielding Experiment and Tools
65(2)
4.3 Field Measurements
67(5)
4.4 Fixed-Satellite Service Receiver Shielding
72(2)
4.5 The Coexistence Analysis of FSS with WiMAX Using Shielding
74(3)
4.6 Antenna Discrimination Impact
77(2)
4.7 Summary
79(2)
Reference
80(1)
5 I-MUSIC Algorithm and Fixed Null Insertion
81(22)
5.1 Introduction
81(1)
5.2 Problem Identification
81(2)
5.3 Improving MUSIC Algorithm for High-Resolution DOA Detection
83(6)
5.3.1 Steering Vector
83(1)
5.3.2 Improved Music Algorithm
84(2)
5.3.3 I-MUSIC Validation
86(3)
5.4 Least Mean Square (LMS) Algorithm Implementation
89(1)
5.5 Implementation of Interference Mitigation Algorithm
90(3)
5.6 The Coexistence Scenarios Between WiMAX and FSS
93(1)
5.7 The Assessment Results
94(4)
5.8 Effect of Mitigation Techniques with Different Guard Band
98(2)
5.9 The Coexistence Possibilities of Using 40 dB Shielding and Fixed Null Within 0.2 km Separation Distance
100(1)
5.10 Summary
101(2)
References
102(1)
6 Conclusions and Future Work
103(4)
6.1 Conclusions
103(2)
6.2 Future Work
105(2)
Appendix A List of Author's Related Publications 107(4)
Appendix B MEASAT-3 Satellite for C-Band 111(4)
Appendix C Mathematical Equations 115(6)
Appendix D Null Synthesized Algorithm for Minimum Separation Distance 121(14)
Appendix E Visualyse Professional 135(2)
Appendix F Experiment Setup and Minimum Separation Distance Simulation Results 137(12)
Index 149
Dr. Lway Faisal Abdulrazak was born in Iraq in 1982. He received his B.Sc in Electrical and Telecommunication Engineering from Omer Almokhtar University, Libya in 2005 with Second honors degree; and he received his MSc and PhD degree in Electrical Electronics and Telecommunication Engineering from Universiti Teknologi Malaysia, in 2007 and 20011, respectively. Currently he is a lecturer at Cihan University - Sulaimanyia Campus, Iraq. He published more that 35 paper in different international journals and conferences. His research interests include IMT-Advanced, Digital Signal Processing, Radio Propagation and Wireless interference analysis.