The Experts below are selected from a list of 1722 Experts worldwide ranked by ideXlab platform

Harald Haas - One of the best experts on this subject based on the ideXlab platform.

  • On Transmit-Diversity for Spatial Modulation MIMO: Impact of Spatial-Constellation Diagram and Shaping Filters at the Transmitter
    IEEE Transactions on Vehicular Technology, 2015
    Co-Authors: Di Renzo Marco, Marco Di Renzo, Haas Harald, Harald Haas
    Abstract:

    In this paper, we contribute to the theoretical understanding, the analysis, and the design of Spatial Modulation (SM) MultipleInputMultipleOutput (MIMO) systems for transmit diversity without channel state information at the transmitter. The contribution is threefold: i) the achievable transmitdiversity of SMMIMO is analytically studied by analyzing the impact of various design parameters, notably spatialConstellation Diagram and shaping filters at the transmitter; ii) the design of SM MIMO providing transmitdiversity and MaximumLikelihood (ML) optimum singlestream decoding is investigated; and iii) via Monte Carlo simulations, a comprehensive performance assessment of SMMIMO against stateoftheart MIMO (e.g., spatialmultiplexing, orthogonal spacetime block codes, Golden code, and double spacetime transmitdiversity) is conducted. It is shown that, for many system setups, properly designed SM MIMO outperforms, with lower decoding complexity, stateof theart MIMO. In particular, SMMIMO is especially useful in the downlink, where many antennaelements (with only few of them active) are available at the transmitter, and few antenna elements are available at the receiver.

  • On the Achievable Performance-Complexity Tradeoffs of Relay-Aided Space Shift Keying
    IEEE Transactions on Signal and Information Processing over Networks, 2015
    Co-Authors: Sandeep Narayanan, Marco Di Renzo, Marium Jalal Chaudhry, Fabio Graziosi, Harald Haas
    Abstract:

    Future cellular networks require transmission technologies and protocols that are energy-efficient, and that can meet the growing demands of mobile data traffic with the best performance versus complexity tradeoff. The recently proposed single-RF space shift keying (SSK-) multiple-input-multiple-output (MIMO) transmission scheme is one of such physical layer technology that satisfies these criteria. In general, SSK requires a large number of antenna elements (with only one of them active) at the transmitter for high data rate transmission. This makes SSK particularly useful for the downlink of cellular systems. In this paper, we exploit the virtual MIMO concept to design SSK transmission schemes for the uplink of cellular networks. The idea is to take advantage of nearby nodes to the mobile terminal as a “virtual spatial-Constellation Diagram,” where the information can be encoded and transmitted to the final destination. By taking into account the virtual nature of the spatial-Constellation Diagram, we develop advanced demodulation techniques, perform a comprehensive mathematical analysis, as well as analyze the system complexity and energy consumption. It is also shown that the proposed scheme is capable of outperforming certain state-of-the-art protocols.

  • Adaptive selection of antennas for optimum transmission in spatial modulation
    IEEE Transactions on Wireless Communications, 2015
    Co-Authors: Marco Di Renzo, Harald Haas
    Abstract:

    In this paper, we propose an optimum transmit structure for spatial modulation (SM), a unique single-stream multiple-input multiple-output (MIMO) transmission technique. As a three-dimensional modulation scheme, SM enables a trade-off between the size of the spatial Constellation Diagram and the size of the signal Constellation Diagram. Based on this fact, the novel method, named transmission optimized spatial modulation (TOSM), selects the best transmit structure that minimizes the average bit error probability (ABEP). Unlike the traditional antenna selection methods, the proposed method relies on statistical channel state information (CSI) instead of instant CSI, and feedback is only needed for the optimal number of transmit antennas. The overhead for this, however, is negligible. In addition, TOSM has low computational complexity as the optimization problem is solved through a simple closed-form objective function with a single variable. Simulation results show that TOSM significantly improves the performance of SM at various channel correlations. Assuming Rayleigh fading channels, TOSM outperforms the original SM by up to 9 dB. Moreover, we propose a single radio-frequency (RF) chain base station (BS) based on TOSM, which achieves low hardware complexity and high energy efficiency. In comparison with multi-stream MIMO schemes, TOSM offers an energy saving of at least 56% in the continuous transmission mode, and 62% in the discontinuous transmission mode.

  • on transmit diversity for spatial modulation mimo impact of spatial Constellation Diagram and shaping filters at the transmitter
    IEEE Transactions on Vehicular Technology, 2013
    Co-Authors: Marco Di Renzo, Harald Haas
    Abstract:

    In this paper, we contribute to the theoretical understanding, analysis, and design of spatial modulation multiple-input-multiple-output (SM-MIMO) systems for transmit diversity without channel state information at the transmitter. The contribution is threefold: 1) The achievable transmit diversity of SM-MIMO is analytically studied by analyzing the impact of various design parameters, notably spatial Constellation Diagram and shaping filters at the transmitter; 2) the design of SM-MIMO providing transmit diversity and maximum-likelihood (ML) optimum single-stream decoding is investigated; and 3) via Monte Carlo simulations, a comprehensive performance assessment of SM-MIMO against state-of-the-art MIMO (e.g., spatial multiplexing, orthogonal space-time block codes, Golden code, and double space-time transmit diversity) is conducted. It is shown that, for many system setups, a properly designed SM-MIMO outperforms, with lower decoding complexity, state-of-the-art MIMO. In particular, SM-MIMO is particularly useful in the downlink, where many antenna elements (with only few of them active) are available at the transmitter, and few antenna elements are available at the receiver.

  • On transmit diversity for spatial modulation MIMO: Impact of spatial Constellation Diagram and shaping filters at the transmitter
    IEEE Transactions on Vehicular Technology, 2013
    Co-Authors: Marco Di Renzo, Harald Haas
    Abstract:

    In this paper, we contribute to the theoretical understanding, the analysis, and the design of Spatial Modulation (SM) MultipleInputMultipleOutput (MIMO) systems for transmit diversity without channel state information at the transmitter. The contribution is threefold: i) the achievable transmitdiversity of SMMIMO is analytically studied by analyzing the impact of various design parameters, notably spatialConstellation Diagram and shaping filters at the transmitter; ii) the design of SM MIMO providing transmitdiversity and MaximumLikelihood (ML) optimum singlestream decoding is investigated; and iii) via Monte Carlo simulations, a comprehensive performance assessment of SMMIMO against stateoftheart MIMO (e.g., spatialmultiplexing, orthogonal spacetime block codes, Golden code, and double spacetime transmitdiversity) is conducted. It is shown that, for many system setups, properly designed SM MIMO outperforms, with lower decoding complexity, stateof theart MIMO. In particular, SMMIMO is especially useful in the downlink, where many antennaelements (with only few of them active) are available at the transmitter, and few antenna elements are available at the receiver.

Marco Di Renzo - One of the best experts on this subject based on the ideXlab platform.

  • On the Achievable Performance-Complexity Tradeoffs of Relay-Aided Space Shift Keying
    IEEE Transactions on Signal and Information Processing over Networks, 2015
    Co-Authors: Sandeep Narayanan, Marco Di Renzo, Marium Jalal Chaudhry, Fabio Graziosi, Harald Haas
    Abstract:

    Future cellular networks require transmission technologies and protocols that are energy-efficient, and that can meet the growing demands of mobile data traffic with the best performance versus complexity tradeoff. The recently proposed single-RF space shift keying (SSK-) multiple-input-multiple-output (MIMO) transmission scheme is one of such physical layer technology that satisfies these criteria. In general, SSK requires a large number of antenna elements (with only one of them active) at the transmitter for high data rate transmission. This makes SSK particularly useful for the downlink of cellular systems. In this paper, we exploit the virtual MIMO concept to design SSK transmission schemes for the uplink of cellular networks. The idea is to take advantage of nearby nodes to the mobile terminal as a “virtual spatial-Constellation Diagram,” where the information can be encoded and transmitted to the final destination. By taking into account the virtual nature of the spatial-Constellation Diagram, we develop advanced demodulation techniques, perform a comprehensive mathematical analysis, as well as analyze the system complexity and energy consumption. It is also shown that the proposed scheme is capable of outperforming certain state-of-the-art protocols.

  • Adaptive selection of antennas for optimum transmission in spatial modulation
    IEEE Transactions on Wireless Communications, 2015
    Co-Authors: Marco Di Renzo, Harald Haas
    Abstract:

    In this paper, we propose an optimum transmit structure for spatial modulation (SM), a unique single-stream multiple-input multiple-output (MIMO) transmission technique. As a three-dimensional modulation scheme, SM enables a trade-off between the size of the spatial Constellation Diagram and the size of the signal Constellation Diagram. Based on this fact, the novel method, named transmission optimized spatial modulation (TOSM), selects the best transmit structure that minimizes the average bit error probability (ABEP). Unlike the traditional antenna selection methods, the proposed method relies on statistical channel state information (CSI) instead of instant CSI, and feedback is only needed for the optimal number of transmit antennas. The overhead for this, however, is negligible. In addition, TOSM has low computational complexity as the optimization problem is solved through a simple closed-form objective function with a single variable. Simulation results show that TOSM significantly improves the performance of SM at various channel correlations. Assuming Rayleigh fading channels, TOSM outperforms the original SM by up to 9 dB. Moreover, we propose a single radio-frequency (RF) chain base station (BS) based on TOSM, which achieves low hardware complexity and high energy efficiency. In comparison with multi-stream MIMO schemes, TOSM offers an energy saving of at least 56% in the continuous transmission mode, and 62% in the discontinuous transmission mode.

  • corrections to on transmit diversity for spatial modulation mimo impact of spatial Constellation Diagram and shaping filters at the transmitter
    2013
    Co-Authors: Marco Di Renzo
    Abstract:

    In this comment, we correct some typographical errors in a paper that has recently appeared in the July 2013 issue of the IEEE Transactions of Vehicular Technology.

  • on transmit diversity for spatial modulation mimo impact of spatial Constellation Diagram and shaping filters at the transmitter
    IEEE Transactions on Vehicular Technology, 2013
    Co-Authors: Marco Di Renzo, Harald Haas
    Abstract:

    In this paper, we contribute to the theoretical understanding, analysis, and design of spatial modulation multiple-input-multiple-output (SM-MIMO) systems for transmit diversity without channel state information at the transmitter. The contribution is threefold: 1) The achievable transmit diversity of SM-MIMO is analytically studied by analyzing the impact of various design parameters, notably spatial Constellation Diagram and shaping filters at the transmitter; 2) the design of SM-MIMO providing transmit diversity and maximum-likelihood (ML) optimum single-stream decoding is investigated; and 3) via Monte Carlo simulations, a comprehensive performance assessment of SM-MIMO against state-of-the-art MIMO (e.g., spatial multiplexing, orthogonal space-time block codes, Golden code, and double space-time transmit diversity) is conducted. It is shown that, for many system setups, a properly designed SM-MIMO outperforms, with lower decoding complexity, state-of-the-art MIMO. In particular, SM-MIMO is particularly useful in the downlink, where many antenna elements (with only few of them active) are available at the transmitter, and few antenna elements are available at the receiver.

  • On transmit diversity for spatial modulation MIMO: Impact of spatial Constellation Diagram and shaping filters at the transmitter
    IEEE Transactions on Vehicular Technology, 2013
    Co-Authors: Marco Di Renzo, Harald Haas
    Abstract:

    In this paper, we contribute to the theoretical understanding, the analysis, and the design of Spatial Modulation (SM) MultipleInputMultipleOutput (MIMO) systems for transmit diversity without channel state information at the transmitter. The contribution is threefold: i) the achievable transmitdiversity of SMMIMO is analytically studied by analyzing the impact of various design parameters, notably spatialConstellation Diagram and shaping filters at the transmitter; ii) the design of SM MIMO providing transmitdiversity and MaximumLikelihood (ML) optimum singlestream decoding is investigated; and iii) via Monte Carlo simulations, a comprehensive performance assessment of SMMIMO against stateoftheart MIMO (e.g., spatialmultiplexing, orthogonal spacetime block codes, Golden code, and double spacetime transmitdiversity) is conducted. It is shown that, for many system setups, properly designed SM MIMO outperforms, with lower decoding complexity, stateof theart MIMO. In particular, SMMIMO is especially useful in the downlink, where many antennaelements (with only few of them active) are available at the transmitter, and few antenna elements are available at the receiver.

Shangsheng Wen - One of the best experts on this subject based on the ideXlab platform.

  • Recognition and evaluation of Constellation Diagram using deep learning based on underwater wireless optical communication.
    arXiv: Signal Processing, 2020
    Co-Authors: Zihao Zhou, Weipeng Guan, Shangsheng Wen
    Abstract:

    Abstract. In this paper, we proposed a method of Constellation Diagram recognition and evaluation using deep learning based on underwater wireless optical communication (UWOC). More specifically, an Constellation Diagram analyzer for UWOC system based on convolutional neural network (CNN) is designed for modulation format recognition (MFR), optical signal noise ratio (OSNR) and phase error estimation. Besides, unsupervised learning is used to excavate a new optimization metric from various factors that affect the quality of underwater channel.The proposed new metric synthesizes several original indexes, which we termed it as multi noise spatial metric (MNSM). The proposed MNSM divides the quality of Constellation from high to low into several levels and reflects the quality of UWOC channel. Through the simulation, the Constellation Diagrams of four widely used M-QAM modulation formats for 16 OSNR values (15dB~30dB) are obtained, with the phase error standard deviations ranging from 0° to 45°. The results show that the accuracy of MFR , the estimation of OSNR and phase noise are 100%, 95% and 98.6% accuracies are achieved respectively. The ablation studies are also carried out in order to analyze the performance of deep learning in the recognition of Constellation Diagrams.

Zihao Zhou - One of the best experts on this subject based on the ideXlab platform.

  • Recognition and evaluation of Constellation Diagram using deep learning based on underwater wireless optical communication.
    arXiv: Signal Processing, 2020
    Co-Authors: Zihao Zhou, Weipeng Guan, Shangsheng Wen
    Abstract:

    Abstract. In this paper, we proposed a method of Constellation Diagram recognition and evaluation using deep learning based on underwater wireless optical communication (UWOC). More specifically, an Constellation Diagram analyzer for UWOC system based on convolutional neural network (CNN) is designed for modulation format recognition (MFR), optical signal noise ratio (OSNR) and phase error estimation. Besides, unsupervised learning is used to excavate a new optimization metric from various factors that affect the quality of underwater channel.The proposed new metric synthesizes several original indexes, which we termed it as multi noise spatial metric (MNSM). The proposed MNSM divides the quality of Constellation from high to low into several levels and reflects the quality of UWOC channel. Through the simulation, the Constellation Diagrams of four widely used M-QAM modulation formats for 16 OSNR values (15dB~30dB) are obtained, with the phase error standard deviations ranging from 0° to 45°. The results show that the accuracy of MFR , the estimation of OSNR and phase noise are 100%, 95% and 98.6% accuracies are achieved respectively. The ablation studies are also carried out in order to analyze the performance of deep learning in the recognition of Constellation Diagrams.

John D. Cressler - One of the best experts on this subject based on the ideXlab platform.

  • modeling single event transient propagation in a sige bicmos direct conversion receiver
    IEEE Transactions on Nuclear Science, 2017
    Co-Authors: Adrian Ildefonso, Ickhyun Song, Zachary E. Fleetwood, Nelson E. Lourenco, Mason T. Wachter, George N. Tzintzarov, John D. Cressler
    Abstract:

    The propagation of single-event transient (SET) signals in a silicon–germanium direct-conversion receiver carrying modulated data is explored. A theoretical analysis of transient propagation, verified by simulation, is presented. A new methodology to characterize and quantify the impact of SETs in communication systems carrying modulated data is proposed. The proposed methodology uses a pulsed radiation source to induce distortions in the signal Constellation. The error vector magnitude due to SETs can then be calculated to quantify errors. Two different modulation schemes were simulated: QPSK and 16-QAM. The distortions in the Constellation Diagram agree with the presented circuit theory. Furthermore, the proposed methodology was applied to evaluate the improvements in the SET response due to a known radiation-hardening-by-design (RHBD) technique, where the common-base device of the low-noise amplifier was operated in inverse mode. The proposed methodology can be a valid technique to determine the most sensitive parts of a system carrying modulated data.

  • Modeling single-event transient propagation in a SiGe BiCMOS direct-conversion receiver
    2016 16th European Conference on Radiation and Its Effects on Components and Systems (RADECS), 2016
    Co-Authors: Adrian Ildefonso, Ickhyun Song, Zachary E. Fleetwood, Nelson E. Lourenco, Mason T. Wachter, George N. Tzintzarov, John D. Cressler
    Abstract:

    The propagation of single-event transient (SET) signals in a silicon-germanium (SiGe) direct-conversion receiver is studied. A theoretical analysis of transient propagation, verified by simulation, is presented. A new method to characterize and quantify the impact of SETs in communication systems carrying modulated data is proposed. The proposed method suggests examining distortions in the signal Constellation Diagram to determine the effect of SETs on modulated data, and using error vector magnitude to estimate the error probability in different parts of the system.