Transmit precoding aided spatial modulation for multi-user correlated large-scale MIMO channels

Maleki, Marjan; Mohamed-pour, Kamal

doi:10.1109/istel.2016.7881836

Cited by 6 publications

(5 citation statements)

References 19 publications

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“…Specifically, in [10] RSM was employed for secure MU downlink scenarios, where the precoding matrices were exquisitely designed with the objective of mitigating the multiuser interference as well as simultaneously implicitly conveying information bits. By transplanting the philosophy of RSM into large-scale frequency-division-duplexing (FDD) MIMO systems, in [11] the authors proposed a novel low-cost MU transmission scheme, which utilizes the dominant eigen-space of transmit correlation matrix to reduce the training overhead and feedback load. In [12], a novel downlink dual-hop architecture based on hybrid space-domain IM systems was proposed, where RSM and spatial modulation (SM) techniques were employed in the first and the second hops, respectively, in order to achieve transmitter diversity gains and harvest energy efficiency gains, respectively.…”

Section: Enhanced Receive Spatial Modulation Based On Power Allocationmentioning

confidence: 99%

Enhanced Receive Spatial Modulation Based on Power Allocation

Yang¹,

Xiao²,

Xiao³

et al. 2019

IEEE J. Sel. Top. Signal Process.

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In this paper, we investigate the benefits of power allocation (PA) for multiple-input multiple-output (MIMO) receive spatial modulation (RSM) with both a total transmit power constraint (TTPC) and a per-antenna power constraint (PAPC). First, we derive optimal PA closed-form solutions that maximize the minimum distance d min between the received signal points for (N t × 2)-element RSM with arbitrary phase-shift keying schemes (where N t is the number of transmit antennas) subject to a TTPC. Based on the derived solutions and the error vector reduction (EVR) method, we propose a low-complexity iterative algorithm to identify PA parameters for high numbers of receive antennas (N r ≥ 2). Specifically, the EVR-based PA (EVR-PA) algorithm resembles its traditional exhaustive-search-based counterpart, but only exploits the receive distances of a few dominant error vectors to iteratively optimize the PA matrix. Then, a more strict yet practical PAPC is considered for PA in RSM-MIMO systems, and a welldesigned approximate convex optimization (ACO)-based iterative PA algorithm is proposed. Compared to EVR-PA, the ACO-based PA (ACO-PA) algorithm first formulates the PA problems with the PAPC in RSM into constrained quadratic program problems and then utilizes the powerful augmented Lagrangian multiplier to find their optimal solutions. Our simulation results show that the proposed EVR-PA-and ACO-PA-aided RSM schemes outperform the equal-power-allocated RSM-and PA-aided spatial multiplexing schemes.

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Section: Enhanced Receive Spatial Modulation Based On Power Allocationmentioning

confidence: 99%

Enhanced Receive Spatial Modulation Based on Power Allocation

Yang¹,

Xiao²,

Xiao³

et al. 2019

IEEE J. Sel. Top. Signal Process.

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“…A. Stavridis [14] proposes the Preprocessing Assisted Space Modulation (PSM) method, which simplifies the complexity of preprocessing. M. Maleki and K. Mohamed-pour [15] propose a two-stage precoding based on Zeroforcing (ZF) that can reduce the Channel State Information (CSI) feedback overhead in the frequency division duplex mode. The literature [16] proposes a ZF-based Propensity Score Matching (PSM) procedure to reduce the hardware complexity design by reducing the number of Radio Frequency (RF) chains for millimetre wave and associated channels.…”

Section: Introductionmentioning

confidence: 99%

Physical Layer Key Generation Method Based on SVD Pre-processing

Liu

Guo²,

Ju³

2023

JCSANDM

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Environmental factors such as channel noise and hardware fingerprints affect the encryption effect of physical layer key generation techniques, resulting in low consistency of generated keys. Feature pre-processing is a common means of improving consistency of keys. However, most of the existing feature pre-processing algorithms improve key consistency by sacrificing key generation rate, which is not very usable. Therefore, it is proposed a physical layer key generation method based on SVD pre-processing. This method uses the SVD feature processing algorithm to pre-process the channel features extracted from both sides of the communication before quantization, in order to simultaneously improve key consistency and key generation rate. The simulation results show that when the channel SNR is greater than 10 dB, the BER of the SVD scheme is significantly lower compared to the scheme without pre-processing and the DCT and PCA pre-processing schemes; when the SNR is greater than 20 dB, the SVD scheme KGR can reach a level of 10bit/s, which is significantly higher than the other three schemes. The results show that this scheme can significantly increase the key generation rate while effectively improving key consistency.

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“…In the case of downlink, most of the proposed space domain IM schemes typically fit into two main types of approaches. The first one [11]- [14] is often referred to as receive SM (R-SM), and is based on the idea of using part of the information bits for selecting a subset of receiver antennas that will receive the intended signals free of inter-channel interference. R-SM resorts to a specially designed precoder or to several preprocessing steps that can reduce the complexity of the receivers.…”

Section: Introductionmentioning

confidence: 99%

“…R-SM resorts to a specially designed precoder or to several preprocessing steps that can reduce the complexity of the receivers. They can also be designed to reduce training overhead and uplink channel state information at the transmitter (CSIT) feedback, as in [14]. Even though only a small subset of the antennas receives symbols, R-SM schemes require that they always remain active.…”

Section: Introductionmentioning

confidence: 99%

“…The method uses a precoder applied to the whole set of antennas (active and inactive), which mitigates MUI and allows SU GSM detection. Instead of the usual approach where spatial information selects active receiver antennas [11]- [14], in PTSDIM spatial information is mapped onto the transmitter. This enables the system to work with large dimensional antenna settings which are much easier to deploy at the BS than at the users, thus achieving higher SE.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Precoding Aided Space Domain Index Modulation Scheme for Downlink Multiuser MIMO Systems

Souto

Correia

2020

IEEE Trans. Veh. Technol.

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In this correspondence, we propose a space domain index modulation (IM) scheme for the downlink of multiuser multiple-input multiple-output (MU-MIMO) systems. Instead of the most common approach where spatial bits select active receiver antennas, in the presented scheme the spatial information is mapped onto the transmitter side. This allows IM to better exploit large dimensional antenna settings which are typically easier to deploy at the base station. In order to mitigate inter-user interference and allow single user detection, a precoder is adopted at the BS. Furthermore, two alternative enhanced signal construction methods are proposed for minimizing the transmitted power or enable an implementation with a reduced number of RF chains. Simulation results for different scenarios show that the proposed approach can be an attractive alternative to conventional precoded MU-MIMO.

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Transmit precoding aided spatial modulation for multi-user correlated large-scale MIMO channels

Cited by 6 publications

References 19 publications

Enhanced Receive Spatial Modulation Based on Power Allocation

Enhanced Receive Spatial Modulation Based on Power Allocation

Physical Layer Key Generation Method Based on SVD Pre-processing

A Precoding Aided Space Domain Index Modulation Scheme for Downlink Multiuser MIMO Systems

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