Cube-Split: A Structured Grassmannian Constellation for Non-Coherent SIMO Communications

Ngo, Khac-Hoang; Decurninge, Alexis; Guillaud, Maxime; Yang, Sheng

doi:10.1109/twc.2019.2959781

Cited by 39 publications

(49 citation statements)

References 37 publications

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Section: A Pilot Sequence Designmentioning

confidence: 99%

“…It is also worth-noting that an alternative to design a lowcoherence pilot matrix is to leverage Grassmanian packing techniques [60], [64]- [66]. For instance, a pilot matrix design based on a particular structure such as one proposed in [60] may bring beneficial aspects in practice due to its lowcomplexity nature. However, optimizing such a pilot design in terms of performance and/or complexity is beyond the scope of this article, since the focus of this section is not to propose a new pilot design but to bring to light that such alternative exists and is suitable for pilot matrix design in grant-free access schemes.…”

Section: A Pilot Sequence Designmentioning

confidence: 99%

“…One may consider an extremely severe scenario L > J 2 , although this is beyond the scope of this article. In this case, the Welch bound is no longer a proper benchmark, implying that one needs another alternative that can be drawn from e.g.,[60].…”

mentioning

confidence: 99%

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Grant-Free Access via Bilinear Inference for Cell-Free MIMO With Low-Coherence Pilots

Iimori

Takahashi

Ishibashi

et al. 2021

IEEE Trans. Wireless Commun.

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We propose a novel joint activity, channel and data estimation (JACDE) scheme for multiple-input multiple-output (MIMO) systems. The contribution aims to allow significant overhead reduction of MIMO systems by enabling grant-free access, while maintaining moderate throughput per user. To that end, we extend the conventional MIMO transmission framework so as to incorporate activity detection capability without resorting to spreading informative data symbols, in contrast with related work which typically relies on signal spreading. Our method leverages a Bayesian message passing scheme based on Gaussian approximation, which jointly performs active user detection (AUD), channel estimation (CE), and multi-user detection (MUD), incorporating also a well-structured low-coherence pilot design based on frame theory, which mitigates pilot contamination, and finally complemented with a detector empowered by bilinear message passing. The efficacy of the resulting JACDEbased grant-free access scheme in the cell-free MIMO system setup compliant with fifth generation (5G) new radio (NR) orthogonal frequency-division multiplexing (OFDM) signaling is demonstrated by simulation results. The results are shown to outperform the current state-of-the-art and approach the performance of an idealized (genie-aided) scheme in which user activity and channel coefficients are perfectly known.

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Section: A Pilot Sequence Designmentioning

confidence: 99%

Section: A Pilot Sequence Designmentioning

confidence: 99%

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Grant-Free Access via Bilinear Inference for Cell-Free MIMO With Low-Coherence Pilots

Iimori

Takahashi

Ishibashi

et al. 2021

IEEE Trans. Wireless Commun.

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“…However, its computational complexity grows exponentially with the size of the decision region, which makes it unrealistic in real practice. To achieve the best performance-complexity trade-off, a group of sub-optimal detection algorithms has been proposed for Grassmannian constellations [14]- [16].…”

Section: Introductionmentioning

confidence: 99%

End-to-End Learning for Uplink MU-SIMO Joint Transmitter and Non-Coherent Receiver Design in Fading Channels

Xue

2021

IEEE Trans. Wireless Commun.

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In this paper, a novel end-to-end learning approach, namely JTRD-Net, is proposed for uplink multiuser single-input multiple-output (MU-SIMO) joint transmitter and non-coherent receiver design (JTRD) in fading channels. The basic idea lies in the use of artificial neural networks (ANNs) to replace traditional communication modules at both transmitter and receiver sides. More specifically, the transmitter side is modeled as a group of parallel linear layers, which are responsible for multiuser waveform design; and the non-coherent receiver is formed by a deep feed-forward neural network (DFNN) so as to provide multiuser detection (MUD) capabilities. The entire JTRD-Net can be trained from end to end to adapt to channel statistics through deep learning. After training, JTRD-Net can work efficiently in a non-coherent manner without requiring any levels of channel state information (CSI). In addition to the network architecture, a novel weight-initialization method, namely symmetrical-interval initialization, is proposed for JTRD-Net. It is shown that the symmetrical-interval initialization outperforms the conventional method (e.g. Xavier initialization) in terms of well-balanced convergence-rate among users. Simulation results show that the proposed JTRD-Net approach takes significant advantages in terms of reliability and scalability over baseline schemes on both i.i.d. complex Gaussian channels and spatially-correlated channels.

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“…This was shown to be capacity-achieving at high signal-to-noise-ratio (SNR) for the Rayleigh block fading channel [5]. The optimal maximum-likelihood (ML) detector is NP-hard, thus low-complexity sub-optimal detectors have been proposed for Grassmannian constellations with additional structure, e.g., [6], [7].…”

Section: Introductionmentioning

confidence: 99%

Non-Coherent Multi-User Detection Based on Expectation Propagation

Ngo

Guillaud

Decurninge

et al. 2019

2019 53rd Asilomar Conference on Signals, Systems, and Computers

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In this paper, we propose a novel soft-output multiuser detector for non-coherent multiple access with Grassmannian signaling under Rayleigh block fading. Our detector is based on expectation propagation (EP) approximate inference and has polynomial complexity in the number of users. A simplified version of this scheme coincides with a scheme based on soft minimum-mean-square-error (MMSE) estimation and successive interference cancellation (SIC). Both schemes, especially EP, produce accurate approximates of the true posterior. They outperform a baseline decoder based on projecting the received signal onto the subspace orthogonal to the interference in terms of both hard-detected symbol error rate and coded bit error rate.

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Cube-Split: A Structured Grassmannian Constellation for Non-Coherent SIMO Communications

Cited by 39 publications

References 37 publications

Grant-Free Access via Bilinear Inference for Cell-Free MIMO With Low-Coherence Pilots

Grant-Free Access via Bilinear Inference for Cell-Free MIMO With Low-Coherence Pilots

End-to-End Learning for Uplink MU-SIMO Joint Transmitter and Non-Coherent Receiver Design in Fading Channels

Non-Coherent Multi-User Detection Based on Expectation Propagation

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