References & Further Reading

References

  1. M. K. Ramachandran, A. Chockalingam, MIMO-OTFS in High-Doppler Fading Channels: Signal Detection and Channel Estimation, 2018

    Foundational MIMO-OTFS paper. Establishes the DD-angle tensor model, precoding, and MP detection.

  2. P. Raviteja, K. T. Phan, Y. Hong, E. Viterbo, Interference Cancellation and Iterative Detection for Orthogonal Time Frequency Space Modulation, 2018

    MP detection framework for MIMO-OTFS. Core reference for §3.

  3. R. Hadani, S. Rakib, M. Tsatsanis, A. Monk, A. J. Goldsmith, A. F. Molisch, R. Calderbank, Orthogonal Time Frequency Space Modulation, 2017

    Original OTFS framework. Foundation for MIMO extension.

  4. A. M. Sayeed, Deconstructing Multiantenna Fading Channels, 2002

    Beamspace transform and virtual channel representation. Foundation for §2.

  5. R. W. Heath Jr., N. González-Prelcic, S. Rangan, W. Roh, A. M. Sayeed, An Overview of Signal Processing Techniques for Millimeter Wave MIMO Systems, 2016

    mmWave MIMO survey. Reference for §2 beamspace, §3 hybrid beamforming.

  6. O. El Ayach, S. Rajagopal, S. Abu-Surra, Z. Pi, R. W. Heath Jr., Spatially Sparse Precoding in Millimeter Wave MIMO Systems, 2014

    Hybrid precoding for sparse mmWave channels. Reference for §3.

  7. L. Zheng, D. N. C. Tse, Diversity and Multiplexing: A Fundamental Tradeoff in Multiple-Antenna Channels, 2003

    DMT framework. Foundation for §4.

  8. İ. E. Telatar, Capacity of Multi-Antenna Gaussian Channels, 1999

    Classical MIMO capacity. Reference in §4 for ergodic capacity.

  9. D. N. C. Tse, P. Viswanath, Fundamentals of Wireless Communication, Cambridge University Press, 2005

    MIMO and OFDM fundamentals. Cross-referenced throughout.

  10. W. U. Bajwa, J. Haupt, A. M. Sayeed, R. Nowak, Compressed Channel Sensing: A New Approach to Estimating Sparse Multipath Channels, 2010

    Compressed sensing for sparse wireless channels. Reference for §2.

  11. J. Jeganathan, A. Ghrayeb, L. Szczecinski, Spatial Modulation: Optimal Detection and Performance Analysis, 2008

    Spatial modulation framework. Reference in §4.

  12. C. A. Balanis, Antenna Theory: Analysis and Design, Wiley, 4th ed., 2016

    Classical antenna theory. Reference for §1 steering vectors.

  13. H. L. Van Trees, Detection, Estimation, and Modulation Theory, Vol. IV: Optimum Array Processing, Wiley, 2002

    Array processing foundations. Reference for §2 steering matrices.

  14. M. Mézard, A. Montanari, Information, Physics, and Computation, Oxford University Press, 2009

    Belief propagation theory. Reference for §3 MP convergence.

  15. P. A. Bello, Characterization of Randomly Time-Variant Linear Channels, 1963

    Classical doubly-selective channel characterization. Foundation for §1.

Further Reading

Additional resources on MIMO-OTFS and related topics.

  • MIMO fundamentals

    Tse, Viswanath (Cambridge 2005); Paulraj, Nabar, Gore, *Introduction to Space-Time Wireless Communications* (Cambridge 2003)

    Classical MIMO theory. Foundation for the extensions in this chapter.

  • Hybrid beamforming and mmWave MIMO

    Heath, González-Prelcic, Rangan, Roh, Sayeed (IEEE JSTSP 2016); El Ayach et al. (IEEE TWC 2014)

    Hybrid analog-digital precoding. Deeper treatment of §3 hybrid architectures.

  • Compressed sensing for MIMO

    Bajwa, Haupt, Sayeed, Nowak (IEEE PROC 2010); Candès, Tao, *Decoding by Linear Programming* (IEEE TIT 2005)

    Compressed-sensing theory applicable to MIMO-OTFS beamspace estimation.

  • Tensor methods for MIMO

    Comon, Jutten, *Handbook of Blind Source Separation* (2010); Kolda, Bader (SIAM Rev. 2009)

    Tensor decomposition (CP, Tucker) methods used for MIMO-OTFS channel estimation.

  • Message passing and belief propagation

    Mézard, Montanari, *Information, Physics, and Computation* (2009); Pearl, *Probabilistic Reasoning in Intelligent Systems* (1988)

    BP foundations. Essential for §3 MP convergence theory.

  • Spatial modulation and antenna selection

    Jeganathan, Ghrayeb, Szczecinski (IEEE COML 2008); Renzo, Haas, Ghrayeb, Sugiura, Hanzo (IEEE PROC 2014)

    Alternative MIMO paradigms complementing spatial multiplexing.

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