Virtual Spatial Modulation for MIMO Systems

Zhu, Xudong; Hanzo, Lajos; Wang, Qi; Haas, Harald

doi:10.1109/glocom.2016.7842377

Cited by 13 publications

(6 citation statements)

References 16 publications

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“…In order to improve the reliability of the overall OWC system, OSM has also been integrated with space time block codes (STBCs) [7]. However, it is challenging for OSM systems to achieve a high spectral efficiency, since only a single LED transmitter is activated for signal transmission at each time slot [8]. In order to enhance the spectral efficiency of OSM, generalized OSM (GOSM) schemes have been further proposed, which activate more than one LED to transmit the same constellation symbol at each time slot [9], [10].…”

Section: Introductionmentioning

confidence: 99%

2D Generalized Optical Spatial Modulation for MIMO-OWC Systems

et al. 2022

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In this paper, a novel two-dimensional (2D) generalized optical spatial modulation (GOSM) scheme is proposed for multiple-input multiple-output optical wireless communication (MIMO-OWC) systems. By grouping multiple successive time slots as one time block, 2D GOSM mapping can be performed not only in the space domain but also in the time domain. Specifically, two types of 2D GOSM mapping schemes are designed, including 2D-1 and 2D-2 GOSM mappings. Moreover, to address the high complexity issue of optimal joint maximum-likelihood (ML) detection and the noise amplification and error propagation issues of zero-forcing-based ML (ZF-ML) detection, a deep neural network (DNN)-aided detection scheme is further designed for 2D GOSM systems. Simulation results demonstrate the superiority of the proposed 2D GOSM scheme with deep learningaided detection for high-speed and low-complexity MIMO-OWC systems. More specifically, a remarkable 3.4-dB signal-to-noise ratio (SNR) gain can be achieved by 2D GOSM in comparison to the conventional one-dimensional (1D) GOSM, when applying the DNN-aided detection.

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Section: Introductionmentioning

confidence: 99%

2D Generalized Optical Spatial Modulation for MIMO-OWC Systems

et al. 2022

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“…For higher data rate in case of having unequal channel gain, SM is incorporated with SDIV. SM encodes data in the spatial domain by activating a single transmitter in a MIMO link while the rest of the transmitters remain idle [16], [17]. In [18], this technique has been combined with orthogonal frequency-division multiplexing (OFDM) for robust performance in Rician fading channels.…”

Section: Introductionmentioning

confidence: 99%

All-Optical Distributed MIMO for LiFi: Spatial Diversity Versus Spatial Multiplexing

et al. 2022

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LiFi or networked optical wireless communication is likely to play an important role in offloading mobile data traffic from radio into the optical spectrum. As the number of Internet of Things (IoT) devices is growing, the RF spectrum becomes a rare resource. Imaging IoT sensors like cameras, ultrasonic devices, and Lidars have real-time requirements, need a high-capacity uplink, and operate in environments that cause or are sensitive against electromagnetic interference. In this paper, for the first time, we present realtime communication over an all-optical fixed-wireless LiFi link based on the distributed multiple-input multiple-output concept. For distributing the wireless signals, plastic optical fibers are used as an analog front-haul. We study the operation of the distributed multiple-input multiple-output link in two modes, i.e., spatial diversity and spatial multiplexing. For the diversity mode, a new combiner is presented, which can support equal gain as well as selection combining. We demonstrate that selection combining is highly effective and enables a similar LiFi performance in up-and downlink, as it is desirable for industrial applications. For the spatial multiplexing mode, we observe that the channel rank and the achievable throughput depend strongly on the user location. As effective solutions, we study the benefits of angular diversity and multiple-input multiple-output mode switching together with multi-user multiplexing and conclude that a dynamic switching between spatial diversity and spatial multiplexing is a practical approach.

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“…Index modulation (IM) is a category of relatively new MIMO techniques that fulfills these high data requirements by allowing the transmission of information using the conventional signal symbols and the indices of given resources of the communication systems [ 2 , 3 ]. These indices represent antennas [ 4 ] or a combination of antennas [ 5 ], spreading codes [ 6 ], polarities [ 7 ], sub-carriers [ 8 ], or a combination of sub-carriers with multi-mode modulation [ 9 , 10 ], rotation angles [ 11 ], and virtual parallel channels [ 12 ], among others.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis and Constellation Design for the Parallel Quadrature Spatial Modulation

Mohaisen

Holoubi

Abuhmed

2020

Entropy

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Spatial modulation (SM) is a multiple-input multiple-output (MIMO) technique that achieves a MIMO capacity by conveying information through antenna indices, while keeping the transmitter as simple as that of a single-input system. Quadrature SM (QSM) expands the spatial dimension of the SM into in-phase and quadrature dimensions, which are used to transmit the real and imaginary parts of a signal symbol, respectively. A parallel QSM (PQSM) was recently proposed to achieve more gain in the spectral efficiency. In PQSM, transmit antennas are split into parallel groups, where QSM is performed independently in each group using the same signal symbol. In this paper, we analytically model the asymptotic pairwise error probability of the PQSM. Accordingly, the constellation design for the PQSM is formulated as an optimization problem of the sum of multivariate functions. We provide the proposed constellations for several values of constellation size, number of transmit antennas, and number of receive antennas. The simulation results show that the proposed constellation outperforms the phase-shift keying (PSK) constellation by more than 10 dB and outperforms the quadrature-amplitude modulation (QAM) schemes by approximately 5 dB for large constellations and number of transmit antennas.

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Virtual Spatial Modulation for MIMO Systems

Cited by 13 publications

References 16 publications

2D Generalized Optical Spatial Modulation for MIMO-OWC Systems

2D Generalized Optical Spatial Modulation for MIMO-OWC Systems

All-Optical Distributed MIMO for LiFi: Spatial Diversity Versus Spatial Multiplexing

Performance Analysis and Constellation Design for the Parallel Quadrature Spatial Modulation

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