Orthogonal Time Frequency Space Modulation Technology

Main Article Content

Rodrigo Alberto Castillo Rodríguez

Abstract

This bibliography research gathers together the basics of the Orthogonal Time Frequency Space (OTFS) modulation technology, that will be used in the fifth generation (5G) mobile communications; it has inherent advantages in the face of the Orthogonal Frequency Division Multiplexing (OFDM) modulation technique, used in the fourth generation mobile communication (4G). One of these profits is its skill to transform a channel that randomly fades within the time-frequency space into a stationary, deterministic and non-fading channel between the transmitter and the receiver. In addition, there is the fact that OTFS modulation operates in a domain in which the channel can be characterized in a very compact way; this has significant implications for tackling the channel estimation bottlenecks that affect current multi-antenna systems and can be an implementing key technology for addressing similar problems in future massive MIMO systems. Finally, the main benefit of OTFS modulation is its ability to easily operate in extreme Doppler channels; this is not only useful in high mobility communications, but can also be an enabling technology for mmWave systems, where Doppler effects will be significantly amplified.

Article Details

How to Cite
Castillo Rodríguez, R. A. (2021). Orthogonal Time Frequency Space Modulation Technology. Tecnología En Marcha Journal, 34(1), Pág. 16–24. https://doi.org/10.18845/tm.v34i1.4818
Section
Artículo científico

References

C. An & H. G. Ryu, “High throughput mobile communication based on OTFS system with the delay-Doppler compensation”. Wireless Personal Commun., 106(2), 473-486, 2019. doi:10.1007/s11277-019-06174-8.

M. K. Ramachandran & A. Chockalingam, “MIMO-OTFS in high-Doppler fading channels: Signal detection and channel estimation,” in 2018 IEEE Global Communications Conference (GLOBECOM), pp. 206-212. IEEE, doi:10.1109/GLOCOM.2018.8647394.

R. Hadani & A. Monk, OTFS: A new generation of modulation addressing the challenges of 5G, 2018. arXiv preprint arXiv:1802.02623.

R. Hadani, S. Rakib, A. F. Molisch, C. Ibars, A. Monk, M. Tsatsanis,... & R. Calderbank, “Orthogonal time frequency space (OTFS) modulation for millimeter-wave communications systems,” in 2017 IEEE MTT-S International Microwave Symposium (IMS), pp. 681-683. IEEE, doi:10.1109/MWSYM.2017.8058662.

A. Monk, R. Hadani, M. Tsatsanis, & S. Rakib, OTFS-orthogonal time frequency space, 2016. arXiv preprint arXiv:1608.02993.

P. Raviteja, E. Viterbo, & Y. Hong, “OTFS performance on static multipath channels,” IEEE Wireless Commun. Lett., 2019. doi:10.1109/LWC.2018.2890643.

P. Raviteja, K. T. Phan, Y. Hong, & E. Viterbo, Orthogonal Time Frequency Space (OTFS) modulation based radar system, 2019. arXiv preprint arXiv:1901.09300

P. Raviteja, K. T. Phan, & Y. Hong, “Embedded pilot-aided channel estimation for OTFS in delay-Doppler channels,” IEEE Trans. Veh. Technol., 68(5), 4906-4917, 2019. doi:10.1109/TVT.2019.2906357.

W. Shen, L. Dai, J. P. An, P. Fan, & R. W. Heath, “Channel estimation for Orthogonal Time Frequency Space (OTFS) Massive MIMO,” IEEE Trans Signal Inf. Process., 2019. doi:10.1109/TSP.2019.2919411.

F. Wiffen, L. Sayer, M. Z. Bocus, A. Doufexi, & A. Nix, “Comparison of OTFS and OFDM in Ray Launched sub-6 GHz and mmWave Line-of-Sight Mobility Channels,” in 2018 IEEE 29th Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC), pp. 73-79. IEEE, doi:10.1109/PIMRC.2018.8580850.

T. Dean, M. Chowdhury, & A.Goldsmith, “A new modulation technique for Doppler compensation in frequency-dispersive channels,” in 2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), pp. 1-7. IEEE, doi:10.1109/PIMRC.2017.8292240.

A. Chockalingam, H. Hong, & E. Viterbo, E., August 27th, 2018, “Orthogonal Time Frequency Space (OTFS) Modulation” [Tutorial at VTC2018-Fall, Chicago].

Z. Ding, R. Schober, P. Fan, & H. V. Poor, OTFS-NOMA: An efficient approach for exploiting heterogenous user mobility profiles, 2019. arXiv preprint arXiv:1904.02783.