Peer review for proposal – Group D

[khaukhau]

• Novelty of the project

  • The project proposal is well-prepared and detailed; thus, its novelty is highlighted by the idea of visualizing digital modulation schemes. To enhance the novelty, it is worth integrating the real-data feeds from the actual wireless network to demonstrate how modulation schemes perform under different network conditions

• Comment on Approach

  • Technology/library used
  • In terms of the suitability of an interactive app, usage of R and Shiny framework would be a great choice. For the product, it is recommended to use other specialized tools to create 3D-printed sculptures.
  • Monte Carlo Simulation
  • While Monte Carlo simulations are mentioned as the method for data collection, there is limited detail on the specific parameters, scenarios, and assumptions considered in the simulations. The group could provide more transparency regarding the simulation methodology to ensure the credibility and reproducibility of the results.

• Suggestion on new features

  • If you have time and want to go the extra mile, we suggest creating a tool on the Shiny app to allow users to select different modulation techniques. Thus, they could directly compare the performance through interactive visualizations. However, the current workload of the project is already heavy, and the current features are interesting and advanced enough for the project.

• Question

  • The proposal is generally clear, but it lacks interpretation of how 3D printed models will help for computational visualization. More clarification is needed. On the other hand, which aspects of these modulation schemes would be highlighted? Also, are there any characteristics or metrics that would be illustrated in the 3D sculpture?
  • The proposal mentioned in the motivation that "how digital communication systems work is not widespread due to their complicated and counterintuitive working principles". However, the proposal itself gives many technical terms (i.e. phase shift keying, coding gain, etc.) without explaining them in layman's terms. It is quite difficult for us to comprehend the entirely of the proposal without prior knowledge of the area. The high-level view is abstract while the research questions jump too immediately to the technical aspects. We would suggest adjusting the proposal for a better balance or transition of high-level and low-level, helping the non-experts to have the background knowledge to understand the questions and analysis. Debriefing the technical terms and simplifying the analysis will be important in the final presentation as well.

• Commendation

  • The combination of artistic elements (3D-printing sculpture) and the technical data visualization (app) is highly praised. Within this interdisciplinary approach, it not only makes the team learning process escalate, but also helps engage the audience at the presentation day.

[PhiSon1990]

Thank you for your comment.

Approach:

-Technology/library used: Our group can create 3D plot by using software and using 3D printer.

• Monte Carlo Simulation: We choose this method because of its advantages. Firstly, Monte Carlo Simulation is a computational technique used to assess risk, model complex systems, and aid decision-making processes by generating multiple scenarios based on probabilistic inputs. Additionally, Its versatility allows for the analysis of various problems across different disciplines, offering insights into uncertainty, optimizing processes, and validating models. Despite requiring computational resources, it is cost-effective compared to real-world experiments and provides a means to understand sensitivity to input parameters while facilitating informed decision-making.

  Suggestion on new features: We will consider to use the R-Shiny to create the app.

  Question:

  Response for Question 1:

The proposal outlines a plan to address the complexity of digital communication systems through visualization, focusing on modulation schemes such as Binary Phase Shift Keying (BPSK), Quadrature Phase Shift Keying (QPSK), and Quadrature Amplitude Modulation (QAM). However, the connection between the Monte Carlo simulations, computational visualization, and 3D printed models needs further elaboration. The proposal could benefit from explaining how the insights gained from the simulations will inform the design of the 3D models and how these models will enhance understanding of the modulation schemes.

Regarding the aspects to be highlighted, the proposal mentions performance metrics like bit error rate (BER), spectral efficiency, and power efficiency. It would be helpful to specify which of these metrics or characteristics would be visually represented in the 3D sculptures. For instance, the sculptures could emphasize the trade-off between spectral and power efficiencies, or they could illustrate how different modulation schemes perform in terms of BER under varying signal-to-noise ratios (SNR).

Response for Question 2:

In the Report, my group will give more detail about modulation techniques and applications to help the non-experts can understand as below :

Background Information:

Firstly, the role of modulation schemes in the wireless communication systems and the evolution of wireless communication systems. Secondly, provide simplified explanations of key technical terms such as phase shift keying, coding gain, and modulation schemes like BPSK, QPSK, and QAM. Use analogies or everyday examples to illustrate these concepts, making them more understandable to non-experts.

Analysis and Visualization:

Simplify the analysis methodology by breaking down complex technical processes into digestible steps. Emphasize the relevance of each analysis method to the broader research questions and provide examples or visual aids to facilitate understanding.

[tienvu95]

Thanks group D for the comment and and Son for the response. Given this level of details, I don't have much to add.