References & Further Reading

References

1. C. E. Shannon, A Mathematical Theory of Communication, 1948

   The foundational paper of information theory. Already outlines the framework used throughout this book.

2. Y. Polyanskiy, H. V. Poor, and S. Verdú, Channel coding rate in the finite blocklength regime, 2010

   The central reference for URLLC and short-packet communication. Normal approximation, meta-converse, and dispersion $V$.

3. T. L. Marzetta and B. M. Hochwald, Capacity of a mobile multiple-antenna communication link in Rayleigh flat fading, 1999

   The non-coherent MIMO pre-log result. Introduces Grassmannian input distributions.

4. B. M. Hochwald and T. L. Marzetta, Unitary space-time modulation for multiple-antenna communications in Rayleigh flat fading, 2000

   Explicit unitary space-time code constructions for non-coherent block-fading MIMO.

5. L. Zheng and D. N. C. Tse, Communication on the Grassmann manifold: a geometric approach to the noncoherent multiple-antenna channel, 2002

   Non-coherent DMT analysis on the Grassmannian manifold.

6. T. O'Shea and J. Hoydis, An introduction to deep learning for the physical layer, 2017

   Foundational paper for autoencoder-based end-to-end physical layer learning.

7. L. Stein, M. Lotz, and others, Neural network-based channel coding for short packets, 2018

   Discussion of neural-network approaches to short-block channel coding for URLLC-style scenarios.

8. R.-J. Essiambre, G. Kramer, P. J. Winzer, G. J. Foschini, and B. Goebel, Capacity limits of optical fiber networks, 2010

   The GN-model analysis of optical fibre capacity, including the nonlinear Shannon peak.

9. E. Ip and A. P. T. Lau, Digital equalization of chromatic dispersion and polarization mode dispersion, 2008

   Digital back-propagation for optical coherent systems; the foundation of modern optical DSP.

10. M. Secondini and E. Forestieri, Scope and limitations of the nonlinear Shannon limit, 2017

    Critical analysis of the GN-model Shannon peak; discusses when the model fails and what corrections are needed.

11. G. Böcherer, F. Steiner, and P. Schulte, Bandwidth efficient and rate-matched low-density parity-check coded modulation, 2015

    Probabilistic Amplitude Shaping (PAS), the shaping framework now deployed in 400ZR optical coherent systems.

12. G. Durisi, T. Koch, and P. Popovski, Toward massive, ultra-reliable, and low-latency wireless communication with short packets, 2016

    Tutorial on short-packet communication for URLLC and mMTC, bridging finite-blocklength theory and 5G design.

13. G. Caire, G. Taricco, and E. Biglieri, Bit-Interleaved Coded Modulation, 1998

    BICM foundation. Cited in the book roadmap.

14. H. El Gamal, G. Caire, and M. O. Damen, Lattice Coding and Decoding Achieve the Optimal Diversity-Multiplexing Tradeoff of MIMO Channels, 2004

    LAST codes. Ch 17 CommIT contribution.

15. P. Elia, K. R. Kumar, S. A. Pawar, P. V. Kumar, H.-f. Lu, and G. Caire, Explicit Space-Time Codes Achieving the Diversity-Multiplexing Gain Tradeoff, 2006

    CDA codes. Ch 13 CommIT contribution.

16. 3GPP, TS 38.214: NR; Physical layer procedures for data, 3GPP (Release 17), 2023

    5G NR URLLC MCS tables (Table 5.1.3.1-3).

17. Optical Internetworking Forum, Implementation Agreement 400ZR, OIF-400ZR-01.0, 2020

    First mass-market deployment of PAS in optical coherent systems.

Further Reading

• Modern approaches to non-coherent MIMO

  W. Yang, G. Durisi, and E. G. Larsson, "High-SNR capacity of wireless communication channels in the noncoherent setting: a primer," AEU Int. J. Electron. Commun., vol. 97, pp. 73–85, 2018.

  Comprehensive primer on non-coherent MIMO capacity results, with pointers to Grassmannian code constructions.

• Ultra-reliable finite-blocklength design

  P. Popovski et al., "Wireless access for ultra-reliable low- latency communication: principles and building blocks," IEEE Network, vol. 32, no. 2, pp. 16–23, 2018.

  Design principles for URLLC links grounded in finite-blocklength theory.

• End-to-end learning for optical fibre

  B. Karanov et al., "End-to-end deep learning of optical fiber communications," J. Lightwave Tech., vol. 36, no. 20, pp. 4843–4855, 2018.

  Application of autoencoder framework to optical fibre channels, with empirical results on learned constellations.

• Near-field MIMO for 6G

  E. Björnson et al., "Reconfigurable intelligent surfaces: three myths and two critical questions," IEEE Commun. Mag., vol. 58, no. 12, pp. 90–96, 2020.

  Discussion of near-field effects at XL-MIMO arrays, relevant to 6G coded modulation design.

• Overview of 6G research directions

  G. P. Fettweis et al., "ON-OFF structure of 6G mobile wireless: The Tactile Internet and Human-Machine Interfaces," IEEE Commun. Mag., 2023.

  Survey of 6G research directions including new coded-modulation requirements.