Thematische Bibliographien / Modulation OTFS

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Auswahl der wissenschaftlichen Literatur zum Thema „Modulation OTFS“

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Veröffentlicht am 30. November 2024

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Zeitschriftenartikel zum Thema "Modulation OTFS"

Siluveru, Mounika, Dharavath Nanda und RadhaKrishna Karne. „Study and Analysis of OTFS and OFDM“. Journal of Artificial Intelligence, Machine Learning and Neural Network, Nr. 26 (29.11.2022): 13–23. http://dx.doi.org/10.55529/jaimlnn.26.13.23.

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High mobility wireless communication systems have been proposed to be robust to channel-induced Doppler shift using Orthogonal Time Frequency Space (OTFS) modulation. The OTFS modulation technique is described in this paper. In addition to being in the delay-Doppler (DD) domain, OTFS has a unique and important feature. The OTFS modulation offers maximum diversity over frequency and time when coupled with an equalizer. This technique converts fading, time-varying wireless channels into time-independent, non-fading interactions that reveal their underlying geometry. Even in challenging 5G deployment settings, OTFS achieves Massive MIMO throughput gains by scaling throughput linearly with MIMO order. An analysis of peak to average power ratio (PAPR) of OFTS modulation wave forms is presented in this paper. OTFS with rectangular pulses is characterized analytically using the complementary cumulative distribution function (CCDF). The simulated CCDF for the PAPR of OTFS is compared with that for orthogonal frequency division multiplexing (OFDM) for different pulse shapes. The results show that OTFS has a better PAPR than OFDM.

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Ren, Huarong, Weikai Xu und Lin Wang. „Multiple-Mode Orthogonal Time Frequency Space with Index Modulation“. Electronics 11, Nr. 16 (19.08.2022): 2600. http://dx.doi.org/10.3390/electronics11162600.

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Recently, orthogonal time frequency space modulation with index modulation (OTFS-IM) has been proposed to improve the bit-error-rate (BER) performance of the OTFS system. However, only some of the grids in the OTFS-IM system are activated, resulting in low spectral efficiency (SE). In order to solve this problem, a new scheme called multiple-mode OTFS-IM (MM-OTFS-IM) is proposed in this paper. In the proposed scheme, all grids are activated to transmit modulation bits. Each grid in the subblock adopts a different modulation mode, and the index bits are transmitted implicitly by the combination of different constellation modes. At the receiver, a distance-based signal detection algorithm is designed, which uses the distance matrix to find the combination of the minimum sum of elements to recover the index bits. The simulation results demonstrate the enhanced performance of the proposed scheme in the time-varying channels.

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Raviteja, P., Yi Hong, Emanuele Viterbo und Ezio Biglieri. „Effective Diversity of OTFS Modulation“. IEEE Wireless Communications Letters 9, Nr. 2 (Februar 2020): 249–53. http://dx.doi.org/10.1109/lwc.2019.2951758.

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Ramadhan, Ali J., und Ali TaeiZadeh. „The Orthogonal Time Frequency Space (OTFS) Technique In 6G Wireless Communications“. BIO Web of Conferences 97 (2024): 00128. http://dx.doi.org/10.1051/bioconf/20249700128.

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The orthogonal time-frequency space (OTFS) technique is a potential waveform modulation method that modulates data in the delaydoppler (DD) domain. OTFS differs from traditional multiplexing techniques by utilizing two-dimensional modulation to switch between the time-frequency (TF) domain and the delay-Doppler domain. This allows for handling Doppler shifts caused by fast-moving objects, a capability lacking in traditional modulation techniques like orthogonal frequency division multiplexing (OFDM). The primary goal of this paper is to offer an overview and short survey of this new topic, highlighting its system model. We also examine key aspects of OTFS modulation such as data detection methods, channel estimation, MIMO, and multiuser systems.

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Guo, Xiaopeng, Biao Wang, Yunan Zhu, Zide Fang und Zhaoyue Han. „Hamming Distance Optimized Underwater Acoustic OTFS-IM Systems“. Entropy 25, Nr. 7 (24.06.2023): 972. http://dx.doi.org/10.3390/e25070972.

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The orthogonal time frequency space (OTFS) modulation technique can provide reliable communication in time-varying channels. Due to the dispersive characteristics of underwater acoustic channels, this paper proposes an OTFS-IM underwater acoustic communication system based on Hamming distance optimization to reduce the impact of dispersion in underwater acoustic communication. Firstly, the OTFS-IM underwater acoustic communication system is introduced, which introduces index modulation into the Delay–Doppler (DD) domain to make the OTFS system have stronger anti-Delay–Doppler capability. In contrast, since there is index sequence redundancy in a specific index combination, a Hamming distance optimization model is used to eliminate the redundant combination in the specific index combination sequence and further improve the bit error rate performance of the system. In addition, the Hamming distance optimized OTFS-IM underwater acoustic communication system is verified by simulation analysis. The results show that the proposed Hamming distance optimized OTFS-IM can achieve more reliable bit error rate performance.

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Lian, Dianbin, Yan Gao und Jie Lian. „Cross-Water–Air Optical Wireless Communication Using Orthogonal Time–Frequency Space Modulation“. Symmetry 16, Nr. 5 (07.05.2024): 571. http://dx.doi.org/10.3390/sym16050571.

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This paper examines the communication difficulties encountered in cross-media wireless optical transmission through simulated research on the utilization of orthogonal time and frequency space (OTFS) modulation technology. Our analysis and comparison demonstrate that OTFS significantly improves the reliability and throughput of data transmission in intricate multipath channel settings. In contrast to conventional orthogonal frequency division multiplexing (OFDM) technology, OTFS displays better resilience and transmission effectiveness. We foresee additional enhancements and progress in OTFS technology to present a sturdier and more efficient resolution for wireless communication, thereby providing valuable perspectives and encouragement for associated research initiatives. Our results underscore the capability of OTFS technology to transform wireless communication systems in demanding multipath channel conditions.

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Xue, Yukang, und Yahong R. Zheng. „Orthogonal time-frequency space (OTFS) modulation for underwater mobile acoustic communications“. Journal of the Acoustical Society of America 154, Nr. 4_supplement (01.10.2023): A249. http://dx.doi.org/10.1121/10.0023445.

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This paper investigates the Orthogonal Time-Frequency Space (OTFS) Modulation for Underwater Mobile Acoustic Communications where the communication channel suffers from severe multipath and Doppler effects simultaneously. Practical OTFS modulation schemes with different parameters are designed for acoustic transmission at a center frequency of 115 kHz and a bandwidth of 11.5 kHz. The schemes are tested in lake experiments where the transmitter was anchored and the receiver was towed by a boat at a speed of approximately 1 m/s or 3.6 km/h. The receiver utilizes low-complexity channel estimation and equalization algorithms, such as NLMS (Normalized Least Mean Squares) and IPNLMS (improved proportionate NLMS) algorithms. The results show some insights of the OTFS scheme for acoustic communications. First, the mobile acoustic channel characteristics are different in the 2D delay-Doppler domain than those in the 1D time and frequency domains for the Single-Carrier Coherent Modulation (SCCM) and the Orthogonal frequency division modulation (OFDM), respectively. Second, in mobile scenarios, the OTFS scheme receiver effectively and significantly reduces the accuracy requirements of the Doppler compensation algorithm and provides better frequency-selective fading suppression and Doppler effect robustness compared to SCCM and OFDM schemes. Third, the OTFS scheme has better anti-multipath performance and reduces multipath interference by effectively differentiating signals on different paths in the 2D delay-Doppler domain.

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Mohammadi, Abderrahim, Saad Chakkor, Ahmed El Oualkadi, Mohamed Moussaoui, Aziz Dkiouak und Mostafa Baghouri. „Performance Evaluation of OTFS and OFDM for 6G Waveform“. ITM Web of Conferences 48 (2022): 01015. http://dx.doi.org/10.1051/itmconf/20224801015.

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Orthogonal time frequency space (OTFS) modulation is a coming technique addressing the challenges of 5G and 6G. It’s appeared to bring about outstanding error performance in delay – Doppler (DeDo) channels. Still, a really fair comparison with its competitor's direct orthogonal frequency division multiplexing and is extensively used in this participation, we will make a comparison of the performance of OTFS and OFDM with the digital modulation format in terms of bit error rate (BER) versus signal-to-noise rate (SNR) for the 16- QAM technique. From the numerical simulations under MATLAB, the results showed that the OTFS admits a small BER to the OFDM in given cases

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Zhang, Ji, Leqi Cai und Huanyou Liu. „Integrated Sensing and Communication via Orthogonal Time Frequency Space Signaling with Hybrid Message Passing Detection and Fractional Parameter Estimation“. Sensors 23, Nr. 24 (16.12.2023): 9874. http://dx.doi.org/10.3390/s23249874.

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For the orthogonal time frequency space (OTFS) modulation, we generally multiplex symbols on a new type of carrier waveform in the delay-Doppler (DD) domain. These two parameters can be used to infer the range (R) and velocity (V) of the communication user and sensing target; thus, it is natural for the OTFS to be implemented in integrated sensing and communication (ISAC). A framework for ISAC based on OTFS modulation is proposed in this paper, in which the matched filter scheme with fractional parameter estimation is implemented for radar sensing. In addition, the hybrid message passing (MP) detection algorithm is developed for OTFS symbol demodulation. According to the simulation results, fractional DD shifts associated with multiple targets can be accurately obtained through the proposed framework. Meanwhile, the bit error rate under the proposed detector is less than 10−4 when the signal-to-noise ratio is high enough.

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Zhang, Mi, Xiaochen Xia, Kui Xu, Xiaoqin Yang, Wei Xie, Yunkun Li und Yang Liu. „A Structured Sparse Bayesian Channel Estimation Approach for Orthogonal Time—Frequency Space Modulation“. Entropy 25, Nr. 5 (06.05.2023): 761. http://dx.doi.org/10.3390/e25050761.

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Orthogonal time–frequency space (OTFS) modulation has been advocated as a promising waveform for achieving integrated sensing and communication (ISAC) due to its superiority in high-mobility adaptability and spectral efficiency. In OTFS modulation-based ISAC systems, accurate channel acquisition is critical for both communication reception and sensing parameter estimation. However, the existence of the fractional Doppler frequency shift spreads the effective channels of the OTFS signal significantly, making efficient channel acquisition very challenging. In this paper, we first derive the sparse structure of the channel in the delay Doppler (DD) domain according to the input and output relationship of OTFS signals. On this basis, a new structured Bayesian learning approach is proposed for accurate channel estimation, which includes a novel structured prior model for the delay-Doppler channel and a successive majorization–minimization (SMM) algorithm for efficient posterior channel estimate computation. Simulation results show that the proposed approach significantly outperforms the reference schemes, especially in the low signal-to-noise ratio (SNR) region.

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Dissertationen zum Thema "Modulation OTFS"

Kazemzadeh, Osgoei Bentolhoda. „Conception d’un système de transmission haut débit dans un canal doublement sélectif : système de TransPod“. Electronic Thesis or Diss., Limoges, 2024. http://www.theses.fr/2024LIMO0055.

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Cette thèse explore la modélisation des canaux et la conception de la couche physique pour améliorer les communications à haut débit dans les canaux sans ﬁl à haute mobilité, en se concentrant spéciﬁquement sur le système TransPod. Le travail commence par une revue complète des canaux sans ﬁl, en se focalisant sur les canaux doublement sélectifs, leurs dégradations, et les techniques de modulation telles que OFDM et OTFS. Nous caractérisons ensuite le canal de transmission du guide TransPod, en examinant à la fois les caractéristiques à grande échelle et à petite échelle, et en traitant le bruit provenant du système de transmission de puissance basé sur le plasma. Un système de communication à double liaison est proposé pour atténuer les déconnexions fréquentes. Nous proposons une nouvelle technique d’estimation de canal basée sur des pilotes pour les systèmes OTFS dans le domaine retard-Doppler, et introduisons une méthode d’estimation du canal Doppler fractionnaire basée sur l’apprentissage automatique utilisant les deep neural network
This thesis explores channel modeling and physical layer design to enhance high data rate communications in high mobility wireless channels, with a speciﬁc focus on the TransPod system. The work begins with a comprehensive review of wireless channels, focusing on doubly selective channels, their impairments, and modulation techniques such as OFDM and OTFS. We then characterize the TransPod guideway transmission channel, examining both large-scale and small-scale characteristics, and addressing noise from the plasma-based power transmission system. A dual-link communication system is proposed to mitigate frequent disconnectivity. We propose a novel sequence-pilot-based channel estimation technique for OTFS systems in delay-Doppler domain and introduce a machine learning-based method for fractional Doppler channel estimation using deep neural network

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Sinha, Sujata. „OTFS Modulation in MIMO Visible Light Communication Systems“. Thesis, 2022. https://etd.iisc.ac.in/handle/2005/5739.

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Visible light communication (VLC) technology is emerging as an attractive technology for wireless communication in indoor and vehicular environments. In VLS systems, light emitting diodes (LED) and photo diodes (PD) are used for wireless signal transmission and reception, respectively, using the visible light spectrum. VLC systems are gaining popularity because of their ability to provide lighting and short-range communication simultaneously. Recently, a new modulation scheme called orthogonal time frequency space (OTFS) modulation has been introduced in the radio frequency (RF) communications domain, where it has been shown that OTFS achieves significantly better performance compared to the widely used orthogonal frequency division multiplexing (OFDM). OTFS is a two-dimensional (2D) modulation scheme, where MN information symbols are multiplexed in the delay-Doppler (DD) domain using M Doppler bins and N delay bins. This is in contrast to OFDM where information symbols are multiplexed in the time-frequency (TF) domain. Because of the demonstrated superiority of OTFS in the RF communication domain, research in OTFS for VLC systems has gained importance recently. In this context, it is of interest to 1) adapt OTFS waveform to VLC settings, and 2) investigate the performance OTFS in indoor VLC environments. In this thesis, we propose efficient multi-LED OTFS modulation schemes suited for visible light communication and analyze their bit error performance in indoor communication environments. First, we propose two dual-LED transmission schemes, namely, non-DC-biased OTFS (NDC-OFTS) scheme and dual-LED complex modulation OTFS (DCM-OTFS) scheme. The NDC-OTFS scheme uses 2D Hermitian symmetry operation to convert complex signals to positive, real-valued signals suitable for transmission in the optical domain, and the DCM-OTFS scheme achieves this by exploiting the polar representation of complex signals. We obtain analytical upper bounds on the bit error performance of the proposed schemes, which are found to be tight at high signal-to-noise ratios (SNRs). Our analytical and simulation results show that the proposed OTFS schemes achieve better performance compared to their OFDM counterparts reported in the VLC literature. Further, using the ratio of the minimum distance of different normalized received signal sets as a metric, we quantify the spatial distribution of the SNR gain of the OTFS schemes compared to their OFDM counterparts. Next, we propose two quad-LED architectures, namely, quad-LED complex modulation OTFS (QCM-OTFS) scheme and spatial modulation DCM-OTFS (SM-DCM-OTFS) scheme. The QCM-OTFS scheme sends the magnitudes of real and imaginary parts of complex signals through intensity modulation and their sign information through spatial indexing of LEDs. The proposed SM-DCM-OTFS scheme sends the magnitude and phase of complex signals (polar representation) through a pair of LEDs and frame indexing across two pairs of LEDs. We also propose two multi-LED OTFS schemes, namely, quadrature spatial modulation OTFS (QSM-OTFS) scheme and dual mode index modulation OTFS (DMIM-OTFS) scheme. The proposed schemes use the dual-LED complex modulation block as the basic building block and offer enhanced rates compared to conventional index modulation schemes. The proposed schemes have the advantage of not requiring the Hermitian symmetry and DC bias operations to obtain real, positive-valued signals suited for intensity modulation of LEDs. Our results show that the proposed OTFS based schemes perform better than their OFDM counterparts. Finally, to mitigate the effect of channel correlation and achieve improved system performance, we investigate the use of the pairwise coding technique and singular value decomposition precoding in multiple-input multiple-output (MIMO) VLC systems. Our simulation results show that the pairwise coding is effective in alleviating the effect of spatial correlation.

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Naikoti, Ashwitha. „OTFS Transceivers Design using Deep Neural Networks“. Thesis, 2021. https://etd.iisc.ac.in/handle/2005/5640.

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Next generation wireless systems are envisioned to provide a variety of services with a wide range of performance requirements. Particularly, demand for high-mobility use cases involving high-speed trains, UAVs/drones, and aeroplanes is increasing. Also, wireless spectrum in the millimeter wave band (e.g., 28-60 GHz) is used to meet the growing bandwidth requirements. Communication in high-mobility and high-carrier frequency scenarios is challenging as it involves high Doppler shifts. Widely used modulation schemes such as orthogonal frequency division multiplexing (OFDM) perform poorly in such high-Doppler scenarios. Orthogonal time frequency space (OTFS) is a recently proposed modulation scheme which is robust to high Doppler shifts. It operates in the delay-Doppler domain and converts a high-Doppler channel into an almost static channel. In this thesis, we focus on the design of OTFS transceivers using deep neural networks (DNNs). The key contributions in the thesis can be summarized into three parts: 1) design of a low-complexity DNN architecture for OTFS signal detection, 2) design of a multi-DNN architecture for delay-Doppler channel training and detection, along with IQ imbalance (IQI) compensation, and 3) bit error rate (BER) analysis of OTFS in the presence of imperfect channel state information (CSI). First, we consider a DNN architecture in which each information symbol multiplexed in the delay-Doppler (DD) grid is associated with a separate DNN. The considered symbol-level DNN has fewer parameters to learn compared to a full DNN that takes into account all symbols in an OTFS frame jointly, and therefore has less complexity. When the noise model deviates from the standard i.i.d. Gaussian model (e.g., non-Gaussian noise with t-distribution) the proposed symbol-DNN detection is found to outperform maximum-likelihood (ML) detection, because of the ability of the DNN to learn the distribution. A similar performance advantage is observed in MIMO-OTFS systems where the noise across multiple received antennas are correlated. Next, we propose a multi-DNN transceiver architecture for DD channel training and detection, along with IQI compensation. The proposed transceiver learns the DD channel over a spatial coherence interval and detects the information symbols using a single DNN trained for this purpose at the receiver. The proposed transceiver also learns the IQ imbalances present in the transmitter and receiver and effectively compensates them. The transmit IQI compensation is realized using a single DNN at the transmitter which learns and provides a compensating modulation alphabet without explicitly estimating the transmit gain and phase imbalances. The receive IQI imbalance compensation is realized using two DNNs at the receiver, one DNN for explicit estimation of receive gain and phase imbalances and another DNN for compensation. Simulation results show that the proposed DNN-based architecture provides very good performance. Finally, we analyze the effect of imperfect CSI on the BER performance of OTFS. We carry out the BER analysis when a mismatched ML detector is used, i.e., when an estimated channel matrix is used for detection in place of the true channel matrix. We derive an exact expression for the pairwise error probability (PEP) using the characteristic function of the decision statistic. Using the PEP, an upper bound on the BER is obtained. Our results show that the BER bound is tight at high SNR values. We also obtain the decision rule for the true ML detector in the presence of imperfect CSI, which takes into account the channel estimation error statistics. We quantify the performance gap between the true ML detector and the mismatched ML detector through simulations.

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Surabhi, G. D. „On Orthogonal Time Frequency Space Modulation for Wireless Communications“. Thesis, 2020. https://etd.iisc.ac.in/handle/2005/4461.

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Future wireless communication systems are envisioned to support diverse requirements that include high mobility application scenarios such as high-speed trains, and vehicle-to-vehicle and vehicle-toinfrastructure communications. The dynamic nature of wireless channels in such scenarios makes them doubly-dispersive in nature. Orthogonal time frequency space (OTFS) modulation is a recent two-dimensional (2D) modulation technique specially suited for doubly-dispersive wireless channels. A fundamental feature of OTFS modulation is that the information symbols in OTFS modulation are multiplexed in delay-Doppler domain rather than in time-frequency domain as done in conventional multicarrier modulation techniques. An advantage of signaling in the delay-Doppler domain is that a channel rapidly varying in time manifests as a slowly varying sparse channel when viewed in the delay-Doppler domain, which simplifies channel estimation in rapidly time varying wireless channels. In this thesis, we focus on various fundamental and key aspects of OTFS modulation, which include asymptotic diversity analysis, peak-to-average power ratio analysis, design of low-complexity equalizers, OTFS based multiple access systems, and the performance of OTFS in millimeter wave (28 GHz and 60 GHz) channels in the presence of oscillator phase noise. First, we provide a formal analysis of the asymptotic diversity order achieved by OTFS modulation in doubly-dispersive channels. Our analysis and simulations show that the asymptotic diversity order of OTFS modulation with maximum likelihood detection is one. We propose a phase rotation scheme for OTFS that achieves full diversity in the delay-Doppler domain. We extend the diversity analysis and the proposed phase rotation scheme to OTFS in multiple-input-multiple-output (MIMO) setting as well. We also propose the use of space-time coding to achieve full diversity in both spatial and delay-Doppler domains. We present an analysis of the peak-to-average-power ratio (PAPR) performance of OTFS modulation. We derive an upper bound on the maximum PAPR in OTFS and analytically characterize the complementary cumulative distribution function of the PAPR of OTFS. Design of low-complexity equalizers is an important requirement for communication in fading channels. We propose low-complexity linear equalizers for OTFS signal detection in doublydispersive channels in both SISO and MIMO settings. The proposed equalizers exploit the block circulant nature of the OTFS channel matrix and achieve exact solutions at a significantly lower complexity compared to that of the conventional approach. We finally consider OTFS based multiple access (OTFS-MA), where delay-Doppler bins serve as the resource blocks for multiple access, in contrast to conventional multiple access schemes where resource blocks are defined in the TF plane. We carry out a comprehensive investigation of key issues in OTFS-MA, such as signal detection , channel estimation , and PAPR characteristics on the multiuser uplink, and compare them with those of OFDMA and SC-FDMA. Finally, we address the problem of high oscillator phase noise in millimeterwave communication systems. We investigate the effect of phase noise on the performance of OTFS modulation in mmWave communications and show that the OTFS is robust to oscillator phase noise.

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Bücher zum Thema "Modulation OTFS"

Chockalingam, Ananthanarayanan, Saif Khan Mohammed und Ronny Hadani. OTFS Modulation: Theory and Applications. Wiley & Sons, Incorporated, John, 2024.

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Chockalingam, Ananthanarayanan, Saif Khan Mohammed und Ronny Hadani. OTFS Modulation: Theory and Applications. Wiley & Sons, Incorporated, John, 2024.

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Chockalingam, Ananthanarayanan, Saif Khan Mohammed und Ronny Hadani. OTFS Modulation: Theory and Applications. Wiley & Sons, Limited, John, 2024.

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Chockalingam, Ananthanarayanan, Saif Khan Mohammed und Ronny Hadani. OTFS Modulation: Theory and Applications. Wiley & Sons, Limited, John, 2024.

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Prasad, Ramjee, und Suvra Sekhar Das. Orthogonal Time Frequency Space Modulation: OTFS a Waveform For 6G. River Publishers, 2022.

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Orthogonal Time Frequency Space Modulation: OTFS a Waveform For 6G. River Publishers, 2021.

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Prasad, Ramjee, und Suvra Sekhar Das. Orthogonal Time Frequency Space Modulation: OTFS a Waveform For 6G. River Publishers, 2022.

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Prasad, Ramjee, und Suvra Sekhar Das. Orthogonal Time Frequency Space Modulation: OTFS a Waveform For 6G. River Publishers, 2022.

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Buchteile zum Thema "Modulation OTFS"

Das, Suvra Sekhar, und Ramjee Prasad. „OTFS Signal Model“. In Orthogonal Time Frequency Space Modulation, 89–102. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003339021-3.

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Das, Suvra Sekhar, und Ramjee Prasad. „Channel Estimation in OTFS“. In Orthogonal Time Frequency Space Modulation, 139–68. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003339021-6.

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Das, Suvra Sekhar, und Ramjee Prasad. „Circulant Pulse Shaped OTFS“. In Orthogonal Time Frequency Space Modulation, 129–38. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003339021-5.

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Das, Suvra Sekhar, und Ramjee Prasad. „Receivers Structures for OTFS“. In Orthogonal Time Frequency Space Modulation, 103–27. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003339021-4.

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Das, Suvra Sekhar, und Ramjee Prasad. „Nonorthogonal Multiple Access with OTFS“. In Orthogonal Time Frequency Space Modulation, 169–90. New York: River Publishers, 2022. http://dx.doi.org/10.1201/9781003339021-7.

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Guo, Qinghua, Zhengdao Yuan, Fei Liu und Jinhong Yuan. „OTFS and Delay-Doppler Domain Modulation: Signal Detection and Channel Estimation“. In Fundamentals of 6G Communications and Networking, 187–225. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-37920-8_8.

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Rakesh Babu, B., Y. Gowthami, K. Anusha, C. Hari Rama Subba Reddy und M. Guna Sekhar Reddy. „Design of OTFS Modulation by Superimposed Pilot-Based Channel Estimation and Embedded Pilot-Aided Estimation“. In Lecture Notes in Electrical Engineering, 113–19. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-99-2058-7_13.

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Konferenzberichte zum Thema "Modulation OTFS"

A, Anoop, Christo Kurisummoottil Thomas und Kala S. „Generalized Dual-Mode Index Modulation Based on OTFS“. In 2024 IEEE International Conference on Electronics, Computing and Communication Technologies (CONECCT), 1–6. IEEE, 2024. http://dx.doi.org/10.1109/conecct62155.2024.10677134.

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Dora, Sai Kumar, Himanshu B. Mishra, Manodipan Sahoo und Kapil Yadav. „Hardware Implementation of OTFS Modulation Using CORDIC Algorithm“. In 2024 International Conference on Signal Processing and Communications (SPCOM), 1–5. IEEE, 2024. http://dx.doi.org/10.1109/spcom60851.2024.10631593.

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Zhou, Dongkai, Siqiang Wang, Zhong Zheng, Jing Guo, Zesong Fei und Weihua Yu. „A Cross-domain PAPR Reduction Method for OTFS Modulation“. In 2024 IEEE/CIC International Conference on Communications in China (ICCC), 2089–94. IEEE, 2024. http://dx.doi.org/10.1109/iccc62479.2024.10681770.

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Yogesh, Vineetha, Anagha V, Sandesh Rao Mattu und A. Chockalingam. „On the PAPR of Discrete Zak Transform Based OTFS Modulation“. In 2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring), 01–06. IEEE, 2024. http://dx.doi.org/10.1109/vtc2024-spring62846.2024.10683193.

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Maurya, Pawan, Kamal Captain, Ashok Parmar und Prashant K. Shah. „Modulation Classification for OTFS-NOMA in Heterogeneous User Mobility Profile“. In 2024 International Conference on Signal Processing and Communications (SPCOM), 1–5. IEEE, 2024. http://dx.doi.org/10.1109/spcom60851.2024.10631634.

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Sharma, Salil, Syed Waqas Haider Shah und Joerg Widmer. „A Low-Complexity Standard-Compliant PAPR Reduction Scheme for OTFS Modulation“. In 2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring), 1–7. IEEE, 2024. http://dx.doi.org/10.1109/vtc2024-spring62846.2024.10683635.

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Foreman-Campins, Guillem, José A. López-Salcedo und Elena Simona Lohan. „Orthogonal Time Frequency Space Modulation (OTFS) for Positioning Using LEO Satellites“. In 2024 36th Conference of Open Innovations Association (FRUCT), 188–94. IEEE, 2024. http://dx.doi.org/10.23919/fruct64283.2024.10749862.

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Jiang, Zhonghui, Huipeng Shi, Yuming Zhang, Kang Yan und Yong Li. „Channel Estimation with OTFS Modulation for Random Access in LEO Satellite Communications“. In 2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring), 1–6. IEEE, 2024. http://dx.doi.org/10.1109/vtc2024-spring62846.2024.10683641.

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Huang, Haohai, Jianzhe Xue, Jinshan Su, Jiaxin Li, Tingting Zhang und Haibo Zhou. „Lightweight Deep Learning-Based Receiver Design for Coded OTFS Modulation in Vehicular Networks“. In 2024 IEEE/CIC International Conference on Communications in China (ICCC), 371–76. IEEE, 2024. http://dx.doi.org/10.1109/iccc62479.2024.10681737.

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Bhagat, Sanjeeet Kumar, Sapta Girish Neelam und P. R. Sahu. „BER Analysis of IRS Aided OTFS Modulation in Presence of IQ Imbalance at the Receiver“. In 2024 IEEE 99th Vehicular Technology Conference (VTC2024-Spring), 1–5. IEEE, 2024. http://dx.doi.org/10.1109/vtc2024-spring62846.2024.10683672.

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