On the Effectiveness of OTFS for Joint Radar Parameter Estimation and Communication

Gaudio, Lorenzo; Kobayashi, Mari; Caire, Giuseppe; Colavolpe, Giulio

doi:10.1109/twc.2020.2998583

Cited by 249 publications

(175 citation statements)

References 40 publications

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“…One can use 2-D transformations on top of OFDM, e.g. such as used in the so-called OTFS scheme [48], which may especially suited for high velocity high delay spread channels.…”

Section: • Further New Waveform Candidate Schemesmentioning

confidence: 99%

Joint Design of Communication and Sensing for Beyond 5G and 6G Systems

2021

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The 6G vision of creating authentic digital twin representations of the physical world calls for new sensing solutions to compose multi-layered maps of our environments. Radio sensing using the mobile communication network as a sensor has the potential to become an essential component of the solution. With the evolution of cellular systems to mmWave bands in 5G and potentially sub-THz bands in 6G, small cell deployments will begin to dominate. Large bandwidth systems deployed in small cell configurations provide an unprecedented opportunity to employ the mobile network for sensing. In this paper, we focus on the major design aspects of such a cellular joint communication and sensing (JCAS) system. We present an analysis of the choice of the waveform that points towards choosing the one that is best suited for communication also for radar sensing. We discuss several techniques for efficiently integrating the sensing capability into the JCAS system, some of which are applicable with NR air-interface for evolved 5G systems. Specifically, methods for reducing sensing overhead by appropriate sensing signal design or by configuring separate numerologies for communications and sensing are presented. Sophisticated use of the sensing signals is shown to reduce the signaling overhead by a factor of 2.67 for an exemplary road traffic monitoring use case. We then present a vision for future advanced JCAS systems building upon distributed massive MIMO and discuss various other research challenges for JCAS that need to be addressed in order to pave the way towards natively integrated JCAS in 6G.

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“…One can use 2-D transformations on top of OFDM, e.g. such as used in the so-called OTFS scheme [48], which may especially suited for high velocity high delay spread channels.…”

Section: • Further New Waveform Candidate Schemesmentioning

confidence: 99%

Joint Design of Communication and Sensing for Beyond 5G and 6G Systems

2021

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“…In this section we concisely review the derivation of the input-output relation of OTFS modulation (see, e.g., [18], [40]) and cast it in the notation of this paper.…”

Section: Otfs Modulation and The Proposed Estimation Algorithm A Otfs Input-output Relationmentioning

confidence: 99%

“…with Ψ p k,k [l, l ] defined as in (26). Using rectangular shaping pulses and after a suitable approximation of the cross ambiguity function as illustrated in the derivation in [18] and omitted here for the sake of brevity, the simplified version of Ψ p k,k [l, l ] is given by (27).…”

Section: Otfs Modulation and The Proposed Estimation Algorithm A Otfs Input-output Relationmentioning

confidence: 99%

“…In fact, in order to accommodate typical channel delay spreads, the CP length in several communication standards based on OFDM may be a large fraction (up to 25%) of the symbol time (see, e.g., [17] and references therein), leading to a remarkable loss in terms of capacity. On the other hand, OTFS does not need a per symbol separation, but this comes at the cost of a non-negligible increase in signal processing complexity [18]. 3 The time-frequency selective channels of interest mainly target outdoor scenarios with high mobility, since OTFS has been specifically proposed for these cases, where the Doppler spreads are significant and where there are few reflectors (or group of reflectors with similar properties), and thus a small number of multipath components [9].…”

Section: Introductionmentioning

confidence: 99%

“…This configuration of pilots and information symbols is a natural consequence of the input-output relation of OTFS, where the effect of the channel cause a cyclic shift of the transmitted symbol of a quantity proportional to the delay and Doppler shifts associated to each channel path. The estimation algorithm for OTFS is based on the ML approach of [18], with the introduction of a low-complexity pilot-based mechanism to detect channel multipath components and achieve a first coarse estimation of relevant parameters. On the other hand, for OFDM we adopt a well-known CS-based estimation algorithm based on least-absolute shrinkage and selection operator (LASSO) [28] (i.e., l 1 -norm regularized least squares minimization).…”

Section: Introductionmentioning

confidence: 99%

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OTFS vs. OFDM in the Presence of Sparsity: A Fair Comparison

Gaudio

Colavolpe

2022

IEEE Trans. Wireless Commun.

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Many recent works in the literature declare that Orthogonal Time-Frequency-Space (OTFS) modulation is a promising candidate technology for high mobility communication scenarios. However, a truly fair comparison with its direct concurrent and widely used Orthogonal Frequency-Division Multiplexing (OFDM) modulation has not yet been provided. In this paper, we present such a fair comparison between the two digital modulation formats in terms of achievable communication rate. In this context, we explicitly address the problem of channel estimation by considering, for each modulation, a pilot scheme and the associated channel estimation algorithm specifically adapted to sparse channels in the Doppler-delay domain, targeting the optimization of the pilot overhead to maximize the overall achievable rate. In our achievable rate analysis we consider also the presence of a guard interval or cyclic prefix. The results are supported by numerical simulations, for different time-frequency selective channels including multiple scattering components and under non-perfect channel state information resulting from the considered pilot schemes. This work does not claim to establish in a fully definitive way which is the best modulation format, since such choice depends on many other features which are outside the scope of this work (e.g., legacy, intellectual property, ease and know-how for implementation, and many other criteria). Nevertheless, we provide the foundations to properly compare multi-carrier communication systems in terms of their information theoretic achievable rate potential, within meaningful and sensible assumptions on the channel models and on the receiver complexity (both in terms of channel estimation and in terms of soft-output symbol detection).

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Information Theoretic Aspects of Joint Sensing and Communications

Kobayashi,

Caire

2024

Signal Processing for Joint Radar Communications

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On the Effectiveness of OTFS for Joint Radar Parameter Estimation and Communication

Cited by 249 publications

References 40 publications

Joint Design of Communication and Sensing for Beyond 5G and 6G Systems

Joint Design of Communication and Sensing for Beyond 5G and 6G Systems

OTFS vs. OFDM in the Presence of Sparsity: A Fair Comparison

Information Theoretic Aspects of Joint Sensing and Communications

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