On Design of Non-Orthogonal Pilot Signals for a Multi-Cell Massive MIMO System

Wang, Haiquan; Zhang, Wan; Liu, Yangyi; Xu, Qian; Pan, Peng

doi:10.1109/lwc.2014.2383382

Cited by 42 publications

(39 citation statements)

References 9 publications

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“…1 Specifically, in the uplink, the base station (BS) receives multiple pilot signals that are simultaneously transmitted from the multiple users, which causes inter-user interference, leading to degradation of channel estimation performance. In the literature, the issue of channel estimation for the uplink of multiuser MIMO system has been studied in several works [2]- [5].…”

Section: Introductionmentioning

confidence: 99%

“…For the case of L < M, joint design of the pilot signal and channel estimator was studied for a single cell [4] and for multiple cells [5], but only for the case of multiuser multipleinput single-output (MISO) system (i.e., the BS has multiple antennas and each user has a single antenna). In the case of L < M, it is not possible to maintain the orthogonality of pilots of multiple users.…”

Section: Introductionmentioning

confidence: 99%

“…Thus, there always exists inter-user interference in the channel estimation, which eventually leads to larger values of MSE of channel estimation. To improve the channel estimation performance, in [4] and [5], some (heuristic) nonorthogonal pilot design methods were developed based on the LMMSE estimator in order to mitigate the interuser interference. Although it was not explicitly studied in [5], it is possible to extend the technique proposed in [5] to the multiuser MIMO system to mitigate the inter-user interference.…”

Section: Introductionmentioning

confidence: 99%

“…To improve the channel estimation performance, in [4] and [5], some (heuristic) nonorthogonal pilot design methods were developed based on the LMMSE estimator in order to mitigate the interuser interference. Although it was not explicitly studied in [5], it is possible to extend the technique proposed in [5] to the multiuser MIMO system to mitigate the inter-user interference. However, just trying to mitigate the inter-user interference by designing some heuristic methods might not be effective, because mitigating it does not guarantee minimizing the MSE of channel estimation.…”

Section: Introductionmentioning

confidence: 99%

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Deep Learning-Based Joint Pilot Design and Channel Estimation for Multiuser MIMO Channels

2019

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In this paper, we propose a joint pilot design and channel estimation scheme based on the deep learning (DL) technique for multiuser multiple-input multiple output (MIMO) channels. To this end, we construct a pilot designer using twolayer neural networks (TNNs) and a channel estimator using deep neural networks (DNNs), which are jointly trained to minimize the mean square error (MSE) of channel estimation. To effectively reduce the interference among the multiple users, we also use the successive interference cancellation (SIC) technique in the channel estimation process. The numerical results demonstrate that the proposed scheme considerably outperforms the stateof-the-art linear minimum mean square error (LMMSE) based channel estimation scheme.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Deep Learning-Based Joint Pilot Design and Channel Estimation for Multiuser MIMO Channels

2019

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“…This scheme could achieve the same performance as the optimal pilot assignment scheme. Based on the analytic expression of the error variance of the channel estimator, Wang et al develop a criterion for optimal non-orthogonal pilot signal design [18]. Farhang et al exploits the inherent blind equalization property of the CMT waveform to address the PC problem in cosine modulated multitone (CMT) based massive MIMO networks [19].…”

Section: Introductionmentioning

confidence: 99%

Channel Estimation for Multicell Multiuser Massive MIMO Uplink Over Rician Fading Channels

Zhang

Dang

et al. 2017

IEEE Trans. Veh. Technol.

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Abstract-Pilot contamination (PC) is a major problem in massive multiple-input multiple-output (MIMO) systems. This paper proposes a novel channel estimation scheme for such a system in Rician fading channels. First, the possible angle of arrivals (AOAs) of users served by a base station (BS) are derived by exploiting the channel statistical information, assuming a traditional pilot structure, where the pilots for the same-cell users are orthogonal but are identical for the same-indexed users from different cells. Although with this pilot structure the channel state information (CSI) derived contains CSI from other-cell users caused by PC, the line-of-sight (LOS) component of the desired user is PC-free when the number of antennas equipped at the BS is large. Then, based on the AOAs and the contaminated CSI, the LOS component of each user served by a BS is estimated, and data are detected by using the derived LOS components. Finally, the decoded data are used to update the CSI estimate via an iterative process. The achievable spectral efficiency of the proposed scheme is analyzed in detail, and simulation results are presented to compare the performance of the proposed scheme with that of three existing schemes.

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Analysis and optimization for non-orthogonal pilot sequence sets in massive MIMO systems

Lee,

Kwun,

Yoon

et al. 2023

Physical Communication

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On Design of Non-Orthogonal Pilot Signals for a Multi-Cell Massive MIMO System

Cited by 42 publications

References 9 publications

Deep Learning-Based Joint Pilot Design and Channel Estimation for Multiuser MIMO Channels

Deep Learning-Based Joint Pilot Design and Channel Estimation for Multiuser MIMO Channels

Channel Estimation for Multicell Multiuser Massive MIMO Uplink Over Rician Fading Channels

Analysis and optimization for non-orthogonal pilot sequence sets in massive MIMO systems

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