Channel Estimation for Millimeter-Wave MIMO Communications With Lens Antenna Arrays

Lu, Yang; Zeng, Yong; Zhang, Rui

doi:10.1109/tvt.2017.2779828

Cited by 64 publications

(45 citation statements)

References 50 publications

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“…measurement matrix, and h = vec(H) ∈ C N T N R ×1 . Since h is a sparse vector, we can basically use any sparse signal recovery algorithms such as orthogonal matching pursuit (OMP) to efficiently estimate h. Since N pilot T is in general significantly smaller than N T , pilot overhead of our approach is much lower than that required by conventional approaches such as least square (LS) estimation technique [4], [5]. Also note that the measurement matrix Φ in (8) is dedicated to the proposed framework of pilot training, which is essential to the design of BB pilot in Section III-C.…”

Section: A Proposed Cs Approach Based On Pilot Trainingmentioning

confidence: 99%

“…On that basis, a channel estimation (CE) scheme Z. Wan, Z. Gao for the linear lens-array has been proposed in [4]. In [5], the idea in [4] has been further extended to the problem to estimate the channels between base station (BS) using fulldimensional (FD) lens-array and multiple users with analog precoding.…”

Section: Introductionmentioning

confidence: 99%

“…To support the multi-antenna users with analog precoding, a CE scheme utilizing the image reconstruction technique has been proposed [9]. Drawback of the approaches in [4], [5] is that they require a complicated ASN, where one RF chain needs to activate all transmit antennas. Moreover, solutions in [7]- [9] require an extra complicated PSN (see Fig.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Compressive Sensing Based Channel Estimation for Millimeter-Wave Full-Dimensional MIMO With Lens-Array

Wan

Gao

Shim

et al. 2020

IEEE Trans. Veh. Technol.

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Channel estimation (CE) for millimeter-wave (mmWave) lens-array suffers from prohibitive training overhead, whereas the state-of-the-art solutions require an extra complicated radio frequency phase shift network. By contrast, lens-array using antenna switching network (ASN) simplifies the hardware, but the associated CE is a challenging task due to the constraint imposed by ASN. This paper proposes a compressive sensing (CS)-based CE solution for full-dimensional (FD) lens-array, where the mmWave channel sparsity is exploited. Specifically, we first propose an approach of pilot training under the more severe haraware constraint imposed by ASN, and formulate the associated CE of lens-array as a CS problem. Then, a redundant dictionary is tailored for FD lens-array to combat the power leakage caused by the continuous angles of multipath components. Further, we design the baseband pilot signals to minimize the total mutual coherence of the measurement matrix based on CS theory for more reliable CE performance. Our solution provides a framework for applying CS techniques to lens-array using simple and practical ASN. Simulation results demonstrate the effectiveness of the proposed scheme.

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Section: A Proposed Cs Approach Based On Pilot Trainingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Compressive Sensing Based Channel Estimation for Millimeter-Wave Full-Dimensional MIMO With Lens-Array

Wan

Gao

Shim

et al. 2020

IEEE Trans. Veh. Technol.

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“…Next, the beamspace channel coefficient for the t-th pathȟ MS,t [n] is computed based on the LS solution for (22) obtained as (28). Consequently, the residual vector r dl t−1 [n] is updated by subtracting the effect of corresponding path from the previous residual vector r dl t−1 [n] in (29) and the iteration index t is increased by 1. Finally, the aforementioned steps are repeated until the stopping criteria defined as N −1 n=0 r dl t−1 [n] − r dl t−2 [n] 2 2 > δ is fulfilled for a given threshold δ.…”

Section: B Estimation Of Toa/aoa and Beamspace Coefficients In The Dmentioning

confidence: 99%

“…However, this approach may suffer from inefficiency of Power-Amplifier (PA) at high carrier frequency, non-linearity of PA, and heat dissipation and imbalances/nonideality of the phase shifter responses. In the second approach, a low-cost implementation of mm-wave MIMO is achieved by using switching circuits together with lens antenna arrays [24]- [29]. To gain low-cost implementation with mm-wave lens MIMO, it is important to find efficient channel estimation methods.…”

Section: Introductionmentioning

confidence: 99%

Tracking Position and Orientation Through Millimeter Wave Lens MIMO in 5G Systems

Shahmansoori

Uguen

Destino

et al. 2019

IEEE Signal Process. Lett.

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Millimeter wave signals and large antenna arrays are considered enabling technologies for future 5G networks. Despite their benefits for achieving high data rate communications, their potential advantages for tracking of the location of the user terminals are largely undiscovered. In this paper, we propose a novel support detection-based channel training method for frequency selective millimeter-wave (mm-wave) multiple-input-multiple-output system with lens antenna arrays. We show that accurate position and orientation estimation and tracking is possible using signals from a single transmitter with lens antenna arrays. Particularly, the beamspace channel estimation is formulated as two sparse signal recovery problems in the downlink and uplink for the estimation of angle-of-arrival, angle-of-departure, and timeof-arrival. The proposed method offers a higher sparse detection probability compared to the compressed sensing based solutions. Finally, a joint heuristic beamformer design and user position and orientation tracking approach are proposed based on initial estimation of channel parameters obtained in the training phase.

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Chaotic sequence‐based MC‐CDMA for 5G

raj

Sankaran²,

Nagarajan³

2018

Concurrency and Computation

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Summary A unique chaotic spreading sequence‐based MC‐CDMA (multi‐carrier code division multiple accesses) is studied in this article. By employing this spreading sequence, interference effect that is inherent in a multi‐user environment can be lessened by deciding on the spreading series with suitable cross‐correlation properties. The simulation study exhibits that chaotic sequence‐based MC‐CDMA acts well in a multiuser setting, resulting in better attainable error rates. Moreover, results confirm that chaotic sequence‐based MC‐CDMA beats the Walsh Hadamard code spreading‐based MC CDMA system. The inception of MIMO (Multiple Input Multiple Output) scheme leads to the augment in the number of antennas that are present in the transmitting in addition to receiving side. This induces an enhancement in the throughput and the robustness of the communication system. Further, the simulation outcomes exhibit that the suggested technique is far beneficial in the context of combating MAI (multiple access interference) and aids to achieve performance amelioration concerning the utility of approximately 9%.

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Channel Estimation for Millimeter-Wave MIMO Communications With Lens Antenna Arrays

Cited by 64 publications

References 50 publications

Compressive Sensing Based Channel Estimation for Millimeter-Wave Full-Dimensional MIMO With Lens-Array

Compressive Sensing Based Channel Estimation for Millimeter-Wave Full-Dimensional MIMO With Lens-Array

Tracking Position and Orientation Through Millimeter Wave Lens MIMO in 5G Systems

Chaotic sequence‐based MC‐CDMA for 5G

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