Wireless Channel Modeling and Implementation for Next Generation Communication System
- 주제(키워드) Channel model
- 발행기관 고려대학교 대학원
- 지도교수 오성준
- 발행년도 2015
- 학위수여년월 2015. 8
- 학위구분 박사
- 학과 대학원 컴퓨터·전파통신공학과
- 원문페이지 80 p
- 실제URI http://www.dcollection.net/handler/korea/000000060478
- 본문언어 영어
- 제출원본 000045841322
초록/요약
Recently, due to growing demands for mobile traffic, higher mobile communication capacity is needed. Following the current trend, the next generation communication systems will adopt various new technologies. First, using heterogeneous network composed of macrocells, pico-cells, and femto-cells, higher area spectral density and extension of coverage are expected. It also has come into the spotlight that devices do not connect a central node and directly communicate with each other, called by device-to-device (D2D), machine-to-machine (M2M), and internet of things (IoT). Furthermore, to increase communication capacity, new antenna techniques such as massive multiple-input and multiple-output (massive MIMO), coordinated multi-point (CoMP), and 3D beam forming and new radio access technologies such as non-orthogonal multiple access (NOMA) are introduced. These new technologies have changed physical environments of the communication systems. Due to a saturation of frequency, millimetre-wave band has come to a new candidate frequency band for the next generation communication systems. In the millimetre-wave frequency band, diffraction loss is greatly increased and propagation paths by reflection are dominant. In the millimetre-wave frequency band, the heights of base station (BS) antennas become lower to secure propagation paths by reflection. In the millimetre-wave frequency band, as 3D beam forming is used to overcome large path loss, an analysis of dominant propagation path is also important. In D2D communication environments, as the heights of transmit antenna and receiving antenna are lower than adjacent obstacles, the fading effect becomes larger. Not only changes of physical environments but computer simulation becomes complicated. The numbers of mobile stations (MSs) and BSs become largely increased. As an amount of computation of simulation is proportional to the number of pairs of MS and BS, the computational load becomes serious. As simulation methods and channel models also become complicated for realistic simulation, the complexity of simulation becomes increased. So, the efficient implementation and verification of simulation come into the picture. This thesis introduces wireless channel models considering the environments and dominant propagation paths in preparation for the changes of physical environments. For the modeling, dominant propagation path scenarios are analyzed based on geometric optics and ray tracing simulation. The methodologies of implementation and verification are also proposed for efficient and accurate simulation of the next generation communication systems.
more목차
Chapter 1 Introduction
1.1 Background
1.2 Contributions
Chapter 2 Path Loss Models for the Next Generation Communication Systems
2.1 Introduction
2.2 Ray Tracing Simulation for Channel Modeling
2.3 Path Loss Model for Propagation over Rooftops
2.3.1 Background and history of ITU-R Recommendation P.1411 Revision
2.3.2 Proposed Path Loss Model
2.3.3 Verification of the Proposed Model
2.4 Path Loss Model for Propagation within Street Canyons
2.4.1 Path Loss Model of ITU-R Recommendation P.1411
2.4.2 Proposed Path Loss Model
2.4.3 An Example Implementation of the Proposed Model
2.5 Summary
Chapter 3 An Efficient Implementation of the Channel Model
3.1 Introduction
3.2 Preliminaries
3.2.1 ITU-R Channel Model
3.2.2 ITU-R Channel Model Extension to D2D Channel
3.3 The Doppler Response-Based Fast Fading Channel Generation Mehthod
3.4 Experiment Results
3.5 Summary
Chapter 4 Verification Methodology for the Channel Model
4.1 Introduction
4.2 Functional Blocks for the Small Scale Parameters’ Generation
4.3 Verification with a Reference Code
4.4 Summary
Chapter 5 Conclusion
Bibliography
