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2024 Multimedia Wireless Networks (ET5907701)

1. Introduction

1.1. Person in Charge

1.2. Course Detail

  1. LINE group:

  2. Slides on Moodle.

  3. Youtube Playlist of course recordings.

  4. WebEx Link for Online Course.

  5. Q&A Google Form.

Important

This form is only opened during the course session (automatically closed outside the course session).

Tip

Submit your Q&A immediately after raising or answering question in class.

Caution

We won't count your Q&A outside the course session.

1.3 Initial ToDo

  1. Create a GitHub account.
  2. Provide your information & gmail to be used in this course in this Google form.
  3. Read the GitHub markdown features information.
  4. Download Visual Studio Code (for study notes writing).

Tip

Read how to generate automatic Table of Content (ToC) using Markdown All in One extension.

  1. Create your own branch in this repository using this format: [year]-[student ID]-[English Name].

    Ex: 2024-d11202805-Ian Joseph Chandra

  2. Copy the content of the branch template to your own branch & update your profile information in your README.md file.

2. Course Outline

2.1. Objectives

  1. This course introduces the basic knowledge of Quality-of-Service (QoS). Four main issues will be addressed:
    1. Multimedia Applications
    2. QoS Fundamentals
    3. QoS Mechanisms
    4. Selected Standards

Note

We give an overview of the multimedia application. The fundamentals of Quality of Service (QoS) is then introduced. Some commonly used QoS Mechanisms will be given. Finally, we will use some popular wireless standards as examples to illustrate the usage of the QoS mechanisms. (The assessment for this part is through Midterm Exam).

  1. Interpersonal & teamwork skills practice through 5 assignments.

Note

Conclussion: The study shows that workers who successfully combine mathematical and interpersonal skills in the knowledge-based economies of the future should find many rewarding and lucrative opportunities.

2.2. Schedule

Date (Recording) Topic/Slide Presentations
Week 1: 2/20 Opening
Week 2: 2/27 National Holiday
Week 3: 3/5 Part-I: Multimedia Applications Assignment 1
Week 4: 3/14 QoS Fundamentals
Week 5: 3/19 OTIC Lab introduction by Auray ; QoS Fundamentals
Week 6: 3/26 QoS Mechanisms Time Management
Week 7: 4/2 QoS Mechanisms
Week 8: 4/9 QoS Mechanisms [Assignment 2]
Week 9: 4/16 QoS Mechanisms
Week 10: 4/23 Part-II: Wireless Local Area Networks (WLANs), Overview of 802.11 Networks, 802.11 MAC Introduction to 802.11ax
Week 11: 4/30 802.11 MAC
Week 12: 5/7 802.11 MAC
Week 13: 5/14 802.11e [Assignment 3]
Week 14: 5/21 802.11e
Week 15: 5/28 802.11e
Week 16: 6/4 Final Exam
Juniper eLearning - I Getting Started with Networking
Juniper eLearning - II Getting Started with Wi-Fi

2.3. Evaluation

  • Q&A/Presentation: 15%
    • Weekly: up to 15 pts (1 pt/week)
  • Assignments: 30%
  • Top 3 Students: 15%
  • Final Exam: 30%. Materials:
    • QoS Fundamentals
    • QoS Mechanisms
    • Assignments

Note

The final score of this course can be adjusted to meet the requirements from our department:

研究所 標準平均:3.1 ~3.8 (百分數:77 ~ 85.67)

Extra work for score adjustment will be given after the Final Score is released.

2.4. Assignments

A1 (Deadline: 3/5, 08.00 A.M.)

A2 (Deadline: 4/9, 08.00 A.M.)

  • Purpose: Learn to identify the problem and verify the concepts using simulation and analytical results.
  • Topics: Joint Communication and Sensing with WiFi
  • References: TBD
  • Score (15%):
    • Study note: 2 pt
    • Flowchart + source code for simulation and analysis: 3 pt
    • Numercial Results (should be identical as the paper): 3 pt
    • Oral presentation: 2 pt

A3 (Deadline: 5/14, 08.00 A.M.)

  • Purpose: Learn to identify the problem and verify the concepts using simulation and analytical results.
  • Topics: WiFi Simmulation using NS-3
  • References: TBD
  • Score (15%):
    • Study note: 2 pt
    • Flowchart + source code for analysis: 3 pt
    • Numercial Results (should be identical as the paper): 3 pt
    • Oral presentation: 2 pt

2.5. Evaluation Criteria

Evaluation Criteria

References

Samples

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