Channel Estimation for Orthogonal Time Frequency Space (OTFS) Massive MIMO

Shen, Wenqian; Dai, Linglong; Han, Shuangfeng; Chih‐Lin, I; Heath, Robert W.

doi:10.1109/icc.2019.8761362

Cited by 66 publications

(148 citation statements)

References 38 publications

(75 reference statements)

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“…5. Angle-delay-Doppler 3D channel, which is burst-sparse along the angle dimension, sparse along the delay dimension, and block-sparse along the Doppler dimension [151]. a sampling of the time and frequency axes at intervals △T and △f , respectively.…”

Section: Orthogonal Time and Frequency Space Of Massive Mimomentioning

confidence: 99%

“…In this part, we focus on the angle-delay-Doppler 3D structured sparsity of the OTFS channel in massive MIMO systems. The downlink channel H of the OTFS massive MIMO is a 3D tensor of dimension N e × N o × M , whose (n e , n o , m)th entry (n e ∈ {1, 2, · · · , N e }, n o ∈ {1, 2, · · · , N o }, and m ∈ {1, 2, · · · , M }) is given by [151] H ne,no,m = P p=1…”

Section: Orthogonal Time and Frequency Space Of Massive Mimomentioning

confidence: 99%

“…where T s is the system sampling interval, Ψ(τ ) is the band-limited pulse shaping filter (e.g., the Hanning window), [151]. Since the number of significant propagation paths is typically limited, the 3D time-variant channel is sparse along the delay dimension.…”

Section: Orthogonal Time and Frequency Space Of Massive Mimomentioning

confidence: 99%

See 2 more Smart Citations

An Overview of Enhanced Massive MIMO With Array Signal Processing Techniques

Wang

Gao

Jin

et al. 2019

IEEE J. Sel. Top. Signal Process.

123

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In the past ten years, there have been tremendous research progresses on massive MIMO systems, most of which stand from the communications viewpoint. A new trend of investigating massive MIMO, especially for the sparse scenario like millimeter wave (mmWave) transmission, is to re-build the transceiver design from array signal processing viewpoint that could deeply exploit the half-wavelength array and provide enhanced performances in many aspects. For example, the high dimensional channel could be decomposed into small amount of physical parameters, e.g., angle of arrival (AoA), angle of departure (AoD), multi-path delay, Doppler shift, etc. As a consequence, transceiver techniques like synchronization, channel estimation, beamforming, precoding, multi-user access, etc., can be re-shaped with these physical parameters, as opposed to those designed directly with channel state information (CSI). Interestingly, parameters like AoA/AoD and multi-path delay are frequency insensitive and thus can be used to guide the downlink transmission from uplink training even for FDD systems. Moreover, some phenomena of massive MIMO that were vaguely revealed previously can be better explained now with array signal processing, e.g., the beam squint effect. In all, the target of this paper is to present an overview of recent progress on merging array signal processing into massive MIMO communications as well as its promising future directions.Index Terms-massive MIMO, array signal processing, mmWave transmission, angle-delay-Doppler reciprocity, beam squint.

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Section: Orthogonal Time and Frequency Space Of Massive Mimomentioning

confidence: 99%

Section: Orthogonal Time and Frequency Space Of Massive Mimomentioning

confidence: 99%

See 1 more Smart Citation

An Overview of Enhanced Massive MIMO With Array Signal Processing Techniques

Wang

Gao

Jin

et al. 2019

IEEE J. Sel. Top. Signal Process.

123

View full text Add to dashboard Cite

show abstract

“…Due to its wide bandwidth [1], [2] and high spectral efficiency [3]- [5], millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) has been considered as a key technique for 5th generation (5G) wireless communications to meet the significant growth of mobile traffic. Importantly, mmWave signals usually suffer from much high free-space path loss caused by high atmospheric attenuation [6], and even worse, these signals will suffer a greater path loss when they are blocked by obstacles such as buildings, foliage, and the user's body, etc. [7].…”

Section: Introductionmentioning

confidence: 99%

“…To date, numerous works have been conducted on the application of mmWave massive MIMO in various scenarios, i.e., cellular systems [1], [5] and vehicle to everything (V2X) communications [6], [9], [11], [12]. Taking the mmWave massive MIMO V2X systems as an example, as shown in Fig.1, the BSs are built on the side of the road in the downtown area, the fast-moving vehicle users communicate with BS by mmWave within a short-range area, a vehicle directionally connects with other ones, roadside infrastructures, or pedestrians and vehicle to vehicle (V2V) and/or vehicle to infrastructure (V2I) communication links are simultaneously established.…”

Section: Introductionmentioning

confidence: 99%

A Novel NE-DFT Channel Estimation Scheme for Millimeter-Wave Massive MIMO Vehicular Communications

Zhao¹,

Zou²

2020

IEEE Access

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Having the ability to provide an ultrafast and high-rate data exchange, millimeterwave (mmWave) massive MIMO has been viewed as one of the technologies with the most potential for vehicular cellular systems in next-generation wireless communications. To alleviate the adverse influence of huge path losses, beamforming techniques are always introduced in various mmWave systems to provide sufficient channel gains. However, it is important to note that the traditional channel estimation algorithms may no longer be available in vehicular cellular networks due to the rapid movements of pedestrians and vehicles. Under this condition, this paper proposes a noise elimination-based discrete Fourier transform (DFT) channel estimation strategy, namely, the NE-DFT channel estimation strategy, for mmWave vehicular communications. Specifically, we first use the iterative cancellation method to initially estimate all path parameters. Then, to further improve the estimate accuracy, we set a decision threshold to determine the authenticity of the estimated paths. Furthermore, the energy distribution of each path in the channel is analyzed, and an additional estimation scheme is designed that enables a more accurate estimation of the previously estimated paths, which uses the comparison value between the total channel matrix energy and the actual signal matrix energy as an auxiliary judgment to successively select the path with the minimum comparison value until a sufficient number of real paths are selected. Finally, the channel matrix is reconstructed using the estimated channel parameters. Simulation results verify that the proposed NE-DFT channel estimation scheme can achieve much better NMSE performance than the conventional scheme, even in comparison with the time-variant channel. INDEX TERMS Massive MIMO, millimeter-wave (mmWave), vehicular communication, channel estimation.

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Advanced OTFS communication system with compact spectrum and power efficiency improvement

Hossain

Ryu

2021

Int J Communication

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Orthogonal time frequency space (OTFS) modulation technique is one-step more precoded system of the conventional orthogonal frequency division multiplexing (OFDM) system, i.e., a double precoded system. The OTFS system was suggested especially for the robust and reliable high-speed vehicle communications and massive multiple-input multiple-output (MIMO) systems. Nevertheless, this basic OTFS system has serious problems: high out-of-band (OOB) power emission and high peak-to-average power ratio (PAPR). This high OOB power spectrum requires a very wide guard band that can produce a great loss of frequency utilization efficiency, and the power efficiency becomes very poor due to this high PAPR problem. Therefore, in this paper, in order to mitigate these drawbacks, an advanced OTFS communication system is proposed to show the compact OOB power spectrum and power efficiency improvement.This system can be designed by discrete Fourier transform (DFT)-spread windowing and restructuring-OTFS (DFT-Spread WR-OTFS) scheme that can reduce PAPR by 2.1 dB, 0.5 dB, 1.7 dB, and 1.8 dB compared to the conventional OFDM, DFT-Spread OFDM, basic OTFS and WR-OTFS schemes, respectively. Consequently, the efficiency of the high power amplifier (HPA) is improved due to the low PAPR of the proposed system. In addition, we comprehensively evaluate the impact of PAPR reduction performance on the OOB power spectrums and bit error rate (BER) performance of each system in HPA linear and nonlinear environments. Simulation results verify that the power spectrums and the BER performance of the proposed system are better than the conventional schemes in HPA nonlinear environments.

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Channel Estimation for Orthogonal Time Frequency Space (OTFS) Massive MIMO

Cited by 66 publications

References 38 publications

An Overview of Enhanced Massive MIMO With Array Signal Processing Techniques

An Overview of Enhanced Massive MIMO With Array Signal Processing Techniques

A Novel NE-DFT Channel Estimation Scheme for Millimeter-Wave Massive MIMO Vehicular Communications

Advanced OTFS communication system with compact spectrum and power efficiency improvement

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