Course title
1M1160001
Advanced Wireless Signal Processing

SUGA Norisato
Course content
Students will gain advanced knowledge and simulation skills in key technological elements such as source coding, error control, modulation and demodulation, access technologies, radio wave propagation, antenna technologies, fading resilience, and OFDM techniques. Students are required to watch and comprehend approximately 100 minutes of pre-recorded lectures before each class session and actively participate in the exercises. Additionally, supplementary assignments will be provided after each exercise to reinforce understanding. In the latter half of the course, students will investigate and present research findings from internationally renowned academic journals (each student will give approximately two presentations), aiming to understand the latest technological trends in advanced wireless communication systems.
Purpose of class

The primary objective of this course is to develop a comprehensive understanding of the key technological components of wireless communication systems and to acquire knowledge about cutting-edge wireless communication systems and services. Additionally, through simulation exercises using MATLAB, students will aim to enhance their understanding of wireless communication technologies and learn analytical methods.
Goals and objectives
  1. Understand and utilize specialized elemental technologies such as coding, decoding, modulation and demodulation in wireless communications.
  2. Understand and explain the practical details of applied technologies in wireless communications, such as multiple connections, antenna signal processing, and anti-fading technologies.
  3. Understand and explain the overview and characteristics of wireless communication systems and issues of system technology from a professional perspective.
Relationship between 'Goals and Objectives' and 'Course Outcomes'

Exercises Survey and presentation Total.
1. 20% 20% 40%
2. 20% 10% 30%
3. 10% 20% 30%
Total. 50% 50% -
Language
Japanese
Class schedule

Class schedule HW assignments (Including preparation and review of the class.) Amount of Time Required
1. Overview
-Recent mobile communication service and trend of technologies
-Introduction of MATLAB simulation
Preparation for wireless communication service and technologies 100minutes
review of wireless communication service and technologies 30minutes
Exercise 0: Preparation for MATLAB simulation 60minutes
2. Mobile communications technologies (1)
-Coding and decoding schemes
-Exercise 1:
Digital data generation
Preparation for coding and decoding schemes 100minutes
Review of coding and decoding schemes 30minutes
Exercise 1: MATLAB simulation of digital data generation 60minutes
3. Mobile communications technologies (2)
-Error control schemes
-Exercise 2:
Convolutional encoding and Viterbi decoding
Preparation for error control schemes 100minutes
Review of error control schemes 30minutes
Exercise 2: MATLAB simulation of convolutional encoding and Viterbi decoding 60minutes
4. Mobile communications technologies (3)
-Modulation schemes
-Demodulation schemes
-Exercise 3:
QPSK modulation and demodulation
Preparation for modulation and demodulation schemes 100minutes
Review of modulation and demodulation schemes 30minutes
Exercise 3: MATLAB simulation of QPSK modulation and demodulation 60minutes
5. Mobile communications technologies (4)
-Multiple access schemes
-Spread spectrum transmission schemes
-CDMA schemes
Preparation for multiple access schemes 100minutes
Review of multiple access schemes 90minutes
6. Mobile communications technologies (5)
-Propagation
-Link budget
-Fading
Preparation for propagation, link budget and fading 100minutes
Review of propagation, link budget and fading 30minutes
Exercise 4: visualization of signal constellation diagrams for signals affected by Rayleigh fading 60minutes
7. Mobile communications technologies (6)
-OFDM, OFDMA schemes
-Exercise 4:
QPSK-OFDM transmission
Preparation for antenna technologies (Diversity, AAA and MIMO) 100minutes
Review of antenna technologies (Diversity, AAA and MIMO) 30minutes
Exercise 5: MATLAB simulation of QPSK-OFDM transmission 60minutes
8. Mobile communications technologies (7)
-Antenna technologies (AAA and MIMO)
-Anti-fading schemes (Diversity schemes)
Preparation for OFDM, OFDMA schemes 100minutes
Review of OFDM, OFDMA schemes 30minutes
Exercise 6: analysis of BER characteristics of SDM in MIMO systems 60minutes
9. Survey and Presentation on Latest Research (1) Survey of recent papers from IEEE Wireless Communications Letters 120minutes
Review of presentation content 70minutes
10. Survey and Presentation on Latest Research (2) Survey of recent papers from IEEE Wireless Communications Letters 120minutes
Review of presentation content 70minutes
11. Survey and Presentation on Latest Research (3) Survey of recent papers from IEEE Wireless Communications Letters 120minutes
Review of presentation content 70minutes
12. Survey and Presentation on Latest Research (4) Survey of recent papers from IEEE Wireless Communications Letters 120minutes
Review of presentation content 70minutes
13. Survey and Presentation on Latest Research (5) Survey of recent papers from IEEE Wireless Communications Letters 120minutes
Review of presentation content 70minutes
14. Survey and Presentation on Latest Research (6) Survey of recent papers from IEEE Wireless Communications Letters 120minutes
Review of presentation content 70minutes
Total. - - 2660minutes
Evaluation method and criteria
The course evaluation consists of Exercises (50%) and Paper Survey & Presentation (50%), with a passing grade requiring an overall score of 60% or higher.
For Exercises, achieving the specified results will earn approximately 80% (40 points out of 50).
For the Paper Survey & Presentation, including the minimum required content in the presentation will earn approximately 60% (30 points out of 50).
Feedback on exams, assignments, etc.
ways of feedback specific contents about "Other"
Textbooks and reference materials
Text for the class
Andrea Goldsmith, "Wireless Communications," Cambridge University Press.
Prerequisites
Proficiency in Fourier Transform, Linear Algebra, and Probability and Statistics is required.
Experience in data analysis using MATLAB is desirable.
Office hours and How to contact professors for questions
  • Office hours: Tuesday 12:30~13:10
  • e-mail (any time)
Regionally-oriented
Development of social and professional independence
    Active-learning course
    Course by professor with work experience
    Work experience Work experience and relevance to the course content if applicable
    Applicable Engaged in research and development of wireless LAN
    Education related SDGs:the Sustainable Development Goals
      Last modified : Fri Mar 14 04:13:39 JST 2025