Simultaneous Localization and Communications With Massive MIMO-OTFS | IEEE Journals & Magazine | IEEE Xplore

Simultaneous Localization and Communications With Massive MIMO-OTFS


Abstract:

Next generation cellular network is expected to provide the simultaneous high-accuracy localization and ultra-reliable communication services, even in high mobility scena...Show More

Abstract:

Next generation cellular network is expected to provide the simultaneous high-accuracy localization and ultra-reliable communication services, even in high mobility scenarios. To that end, the novel orthogonal time frequency space (OTFS) modulation has been developed as a promising physical-layer transmission technique, evident by the outstanding performance in terms of robustness against time-frequency selective fading over the orthogonal frequency division multiplexing (OFDM) counterpart. However, when OTFS meets massive multiple-input multiple-output (MIMO), the specific conditions, under which the delay-Doppler (DD) domain channel model holds, are not identified. In addition, the channel estimation and localization performance in such system is rarely studied. In this work, we target at these new challenges, and conduct comprehensive modelling, performance analysis, and algorithm design for massive MIMO-OTFS based simultaneous localization and communications. Specifically, we derive new channel models for the massive MIMO-OTFS system, which captures both time-frequency dispersion and spatial wideband effects. The specific conditions, under which the new models hold has been unveiled as well. Based on the new models, we establish the theoretical foundations for channel estimation and localization, by deriving the Cramér-Rao lower bounds of channel parameter and location estimation errors. Such bounds have been achieved with the newly designed low-complexity channel estimation and localization algorithms. Numerical simulations of the proposed framework with prevailing pulse functions are also conducted and the results validate the proposed designs and analysis.
Published in: IEEE Journal on Selected Areas in Communications ( Volume: 41, Issue: 12, December 2023)
Page(s): 3908 - 3924
Date of Publication: 09 October 2023

ISSN Information:

Funding Agency:


I. Introduction

Simultaneous localization and communications(SLAC) becomes a new feature in the fifth-generation (5G) and beyond cellular networks. This technique can facilitate various applications, such as Internet-of-Things (IoTs) and autonomous driving [1]. The bridge between the localization and communications is the propagation channel, which is used for data transfer while carrying position-dependent information. Typical channel parameters with position dependence include the received signal strength (RSS), time of arrival (ToA), angle of arrival (AoA), Doppler shift, and others. The acquisition of these parameters is dependent on the physical layer signal design and processing of the communications systems.

References

References is not available for this document.