Reliable Beamspace Channel Estimation for Millimeter-Wave Massive MIMO Systems with Lens Antenna Array

Gao, Xinyu; Dai, Linglong; Han, Shuangfeng; Chih‐Lin, I; Wang, Xiaodong

doi:10.1109/twc.2017.2718502

Cited by 231 publications

(167 citation statements)

References 41 publications

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“…Some improved schemes following the similar idea can be found in [146], [149]. The second approach is to regard (7) as a classical sparse signal recovery problem [150]- [152]. Then, it designs f m and w m to make the sensing matrix ΨA D enjoy sufficiently low mutual coherence, which is crucial to achieve high signal recovery accuracy in CS theory [153].…”

Section: B Channel Estimation With Hybrid Architecturementioning

confidence: 99%

Millimeter Wave Communications for Future Mobile Networks

Xiao

Mumtaz

Huang

et al. 2017

IEEE J. Select. Areas Commun.

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989

530

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Abstract-Millimeter wave (mmWave) communications have recently attracted large research interest, since the huge available bandwidth can potentially lead to rates of multiple Gbps (gigabit per second) per user. Though mmWave can be readily used in stationary scenarios such as indoor hotspots or backhaul, it is challenging to use mmWave in mobile networks, where the transmitting/receiving nodes may be moving, channels may have a complicated structure, and the coordination among multiple nodes is difficult. To fully exploit the high potential rates of mmWave in mobile networks, lots of technical problems must be addressed. This paper presents a comprehensive survey of mmWave communications for future mobile networks (5G and beyond). We first summarize the recent channel measurement campaigns and modeling results. Then, we discuss in detail recent progresses in multiple input multiple output (MIMO) transceiver design for mmWave communications. After that, we provide an overview of the solution for multiple access and backhauling, followed by analysis of coverage and connectivity. Finally, the progresses in the standardization and deployment of mmWave for mobile networks are discussed.

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Section: B Channel Estimation With Hybrid Architecturementioning

confidence: 99%

Millimeter Wave Communications for Future Mobile Networks

Xiao

Mumtaz

Huang

et al. 2017

IEEE J. Select. Areas Commun.

Self Cite

989

530

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show abstract

“…For example, when the carrier frequency is 28 GHz and the bandwidth is 1 GHz, a maximum speed of 30 m/s results in the small channel coherence time of 0.36 ms. However, the symbol duration is in the order of 1 ns, which means that the small channel coherence time still contains 400,000 symbols [17].…”

Section: Problem Formulationmentioning

confidence: 99%

“…A channel estimation scheme based on simultaneous weighted orthogonal matching pursuit (SWOMP) in [6] whitens the spatial noise components to improve the estimation accuracy using the OMP method. However, due to the limited beamspace resolution, the sparsity of beamspace channel may be impaired by power leakage [17], which brings extra challenges for the sparse recovery. To solve this problem, a distributed grid matching pursuit (DGMP)-based channel estimation scheme is developed to iteratively detect and adjust arXiv:2002.06377v1 [eess.SP] 15 Feb 2020 the channel support [7].…”

Section: Introductionmentioning

confidence: 99%

High-Resolution Channel Estimation for Frequency-Selective mmWave Massive MIMO Systems

2020

IEEE Trans. Wireless Commun.

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In this paper, we develop two high-resolution channel estimation schemes based on the estimating signal parameters via the rotational invariance techniques (ESPRIT) method for frequency-selective millimeter wave (mmWave) massive MIMO systems. The first scheme is based on two-dimensional ESPRIT (TDE), which includes three stages of pilot transmission. This scheme first estimates the angles of arrival (AoA) and angles of departure (AoD) and then pairs the AoA and AoD. The other scheme reduces the pilot transmission from three stages to two stages and therefore reduces the pilot overhead. It is based on one-dimensional ESPRIT and minimum searching (EMS). It first estimates the AoD of each channel path and then searches the minimum from the identified mainlobe. To guarantee the robust channel estimation performance, we also develop a hybrid precoding and combining matrices design method so that the received signal power keeps almost the same for any AoA and AoD. Finally, we demonstrate that the proposed two schemes outperform the existing channel estimation schemes in terms of computational complexity and performance.Index Terms-Millimeter wave communications, channel estimation, hybrid precoding, massive MIMO.

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“…A k is determined by the AoDs of the k-th user, which can be determined at a low average overhead [11], since the angle coherence time is much longer than the traditional channel coherence time.…”

Section: A Proposed Rdscmentioning

confidence: 99%

Channel Feedback Codebook Design for Millimeter-Wave Massive MIMO Systems Relying on Lens Antenna Array

Shen

Dai

et al. 2018

IEEE Wireless Commun. Lett.

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Abstract-The recently proposed millimeter-wave (mmWave) massive MIMO system relying on a lens antenna array (LAA) significantly reduces the number of radio frequency (RF) chains using beam selection. A high data rate can be achieved based on the reduced-dimensional equivalent channel after beam selection. In frequency division duplexing (FDD) systems, the equivalent channel has to be signaled back to the base station (BS) via a feedback channel based on a codebook. However, no dedicated codebook has been proposed for LAA-aided mm-Wave systems. To fill this gap, in this paper, we propose a reduced-dimensional subspace codebook (RDSC) for LAA-aided mmWave massive MIMO systems. Specifically, under the recently proposed concept of angle coherence time, we first generate the large-dimensional vectors in the channel subspace, which is determined by the angles-of-departure (AoDs) of the dominant paths. Then, based on these vectors in the channel subspace, we create the RDSC by considering both the lens and the beam selector. Finally, the equivalent channel is quantized using the proposed RDSC and fed back to the BS. Finally, we carry out mathematical performance analysis of the proposed RDSC and show that its feedback overhead is rendered proportional to the relatively small number of dominant paths per user. The analytical results are verified by our simulations.

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Reliable Beamspace Channel Estimation for Millimeter-Wave Massive MIMO Systems with Lens Antenna Array

Cited by 231 publications

References 41 publications

Millimeter Wave Communications for Future Mobile Networks

Millimeter Wave Communications for Future Mobile Networks

High-Resolution Channel Estimation for Frequency-Selective mmWave Massive MIMO Systems

Channel Feedback Codebook Design for Millimeter-Wave Massive MIMO Systems Relying on Lens Antenna Array

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