References & Further Reading

References

1. S. Keshav, How to Read a Paper, ACM SIGCOMM Computer Communication Review, vol. 37, no. 3, pp. 83--84, 2007

   The classic guide to the three-pass paper reading method. Short (2 pages), practical, and applicable across all areas of communications and networking.

2. IEEE Signal Processing Society, Reproducible Research in Signal Processing, IEEE Signal Processing Magazine, vol. 35, no. 6, 2018

   Special issue on reproducibility in signal processing research. Includes guidelines for code sharing, data archiving, and reproducible experimental methodology.

3. T. L. Marzetta, E. G. Larsson, H. Yang, and H. Q. Ngo, Fundamentals of Massive MIMO, Cambridge University Press, 2016

   Chapter 4 provides an excellent example of rigorous simulation methodology for massive MIMO, including proper normalization, baseline definitions, and asymptotic analysis.

4. E. Bjornson, J. Hoydis, and L. Sanguinetti, Massive MIMO Networks: Spectral, Energy, and Hardware Efficiency, Foundations and Trends in Signal Processing, vol. 11, no. 3--4, 2017. [Link]

   Open-access monograph with fully reproducible simulation code. A model for how to present wireless research with complete parameter specifications and available code.

5. E. Bjornson, E. G. Larsson, and T. L. Marzetta, Massive MIMO: Ten Myths and One Critical Question, IEEE Communications Magazine, vol. 54, no. 2, pp. 114--123, 2016

   Debunks common misconceptions about massive MIMO performance claims, providing an excellent case study in critical paper evaluation.

6. R. W. Heath Jr. and A. Lozano, Foundations of MIMO Communication, Cambridge University Press, 2018

   Chapters on simulation methodology and BER computation provide detailed guidance on correct noise normalization and Monte Carlo techniques for MIMO systems.

7. A. Goldsmith, Wireless Communications, Cambridge University Press, 2005

   Standard textbook with careful attention to SNR definitions across different system models. Appendix on simulation techniques.

8. M. Pinello, S. Lops, and A. Tulino, On the Reproducibility of Wireless Channel Simulations, IEEE Transactions on Wireless Communications, 2023

   Analyzes sources of non-reproducibility in channel model implementations across different simulators and proposes calibration procedures.

9. M. C. Jeruchim, P. Balaban, and K. S. Shanmugan, Simulation of Communication Systems: Modeling, Methodology, and Techniques, Kluwer Academic/Plenum Publishers, 2nd ed., 2000

   Comprehensive reference for communication system simulation, including Monte Carlo methods, importance sampling, variance reduction, and statistical analysis of simulation output.

10. IEEE, IEEE Editorial Style Manual, IEEE, 2015

    Official guide for formatting IEEE papers, including equation numbering, figure placement, reference formatting, and notation conventions.

Further Reading

• Advanced Monte Carlo methods for communications

  Jeruchim, Balaban, and Shanmugan, *Simulation of Communication Systems*, Kluwer, 2000, Chapters 5--7

  Covers importance sampling, stratified sampling, and quasi-Monte Carlo for efficiently simulating rare events in coded systems.

• Reproducible research tools and workflows

  Sandve et al., "Ten Simple Rules for Reproducible Computational Research," *PLOS Computational Biology*, 2013

  Practical guidelines applicable to any computational research field, including version control, automation, and documentation best practices.

• System-level simulation for 5G/6G

  Vienna 5G/6G System Level Simulator documentation (open source, MATLAB)

  Hands-on tool for learning multi-cell, multi-user simulation with 3GPP-compliant channel models and scheduling algorithms.

• Writing style for technical papers

  Zobel, *Writing for Computer Science*, 3rd ed., Springer, 2014

  Practical advice on structuring arguments, writing clear prose, and responding to reviews — applicable to wireless communications despite the CS title.

• GPU-accelerated link-level simulation

  Hoydis et al., "Sionna: An Open-Source Library for Next-Generation Physical Layer Research," arXiv:2203.11854, 2022

  Demonstrates how differentiable programming and GPU acceleration are changing wireless simulation methodology, enabling end-to-end learning.

• Peer review best practices

  Smith, "The Task of the Referee," *IEEE Computer*, vol. 23, no. 4, pp. 65--71, 1990

  Classic essay on what makes a constructive review. Understanding the review process improves both your writing and your ability to read papers critically.