Relevant bibliographies by topics / Spatial precoding

Academic literature on the topic 'Spatial precoding'

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Published: 4 June 2021
Last updated: 28 January 2023

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Journal articles on the topic "Spatial precoding"

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Wu, Feilong, Lie-Liang Yang, Wenjie Wang, and Zhengmin Kong. "Secret Precoding-Aided Spatial Modulation." IEEE Communications Letters 19, no. 9 (September 2015): 1544–47. http://dx.doi.org/10.1109/lcomm.2015.2453313.

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Li, Jun, Miaowen Wen, Xiang Cheng, Yier Yan, Sangseob Song, and Moon Ho Lee. "Generalized Precoding-Aided Quadrature Spatial Modulation." IEEE Transactions on Vehicular Technology 66, no. 2 (February 2017): 1881–86. http://dx.doi.org/10.1109/tvt.2016.2565618.

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Luo, Junshan, Fanggang Wang, and Shilian Wang. "Signaling–Spatial Constellation Tradeoff in Precoding-Aided Spatial Modulation." IEEE Transactions on Vehicular Technology 68, no. 10 (October 2019): 10301–5. http://dx.doi.org/10.1109/tvt.2019.2934735.

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Shailender, Shelej Khera, Sajjan Singh, and Jyoti. "Estimation of Channel for Millimeter-Wave Hybrid Massive MIMO Systems using Orthogonal Matching Pursuit (OMP)." Journal of Physics: Conference Series 2327, no. 1 (August 1, 2022): 012040. http://dx.doi.org/10.1088/1742-6596/2327/1/012040.

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Abstract In a millimeter-wave (mm-Wave) large MIMO system, hybrid precoding is a critical component for lowering radio-frequency hardware costs as compared to the traditional full-digital precoding strategy. Knowledge of channels is required for hybrid precoding. Though, estimation of the channel is problematic for the mm-Wave system because of the usage of a massive array of antenna and hybrid architecture with analog precoding. Due to the extremely directed nature of wireless propagation, wireless channels have spatial sparsity. In this paper, we exploit this spatial sparsity nature of wireless channels to develop orthogonal matching pursuit technique-based estimation of channels for hybrid millimeter-wave (mm-Wave) wireless systems. Genie (Ideal) channel estimation is also performed in which we presume that actual angle of departures (AoD) and angle of arrivals (AoA) are known to us. Finally, the simulation results reveal that suggested OMP algorithm-based channel estimation has a significant advantage over conventional approaches like least-squares channel estimation.
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Ibrahim, Sarmad Khaleel, and Saif A. Abdulhussien. "Performance evaluation of precoding system for massive multiple-input multiple-output." Bulletin of Electrical Engineering and Informatics 11, no. 4 (August 1, 2022): 2054–61. http://dx.doi.org/10.11591/eei.v11i4.3877.

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Low latency, high data speeds, and a higher degree of perceived service quality for consumers and base station capacity are only some of the advantages of fifth generation (5G) mobile communications. This paper focuses on the design of a precoding system for downlink transmission of multi-user multiple-input multiple-output (MU-MIMO). For MU-MIMO systems, the traditional precoding techniques investigated are difficult since the transmitter precoding matrices created by singular value decomposition (SVD) are calculated twice. This paper implements different techniques of precoding with channel coding. Two advanced precoding, zero forcing (ZF) and maximum ratio transmitter (MRT) systems will be evaluated to find the best between them. Three different coding channels (turbo, low-density parity-check (LDPC), and polar) are used in this paper. The results indicate that the ZF-MU-MIMO with turbo coding outperforms MRT precoding, and more spatial diversity gain may be gained, in terms of throughput, number of users supported, and lower error rate in downlink and uplink massive MIMO.
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Rezaei Aghdam, Sina, and Thomas Eriksson. "Low Spatial Peak-to-Average Power Ratio Transmission for Improved Energy Efficiency in Massive MIMO Systems." Sensors 21, no. 16 (August 17, 2021): 5534. http://dx.doi.org/10.3390/s21165534.

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A significant portion of the operating power of a base station is consumed by power amplifiers (PAs). Much of this power is dissipated in the form of heat, as the overall efficiency of currently deployed PAs is typically very low. This is because the structure of conventional precoding techniques typically results in a relatively high variation in output power at different antennas in the array, and many PAs are operated well below saturation to avoid distortion of the transmitted signals. In this work, we use a realistic model for power consumption in PAs and study the impact of power variation across antennas in the array on the energy efficiency of a massive MIMO downlink system. We introduce a family of linear precoding matrices that allow us to control the spatial peak-to-average power ratio by projecting a fraction of the transmitted power onto the null space of the channel. These precoding matrices preserve the structure of conventional precoders; e.g., they suppress multiuser interference when used together with zeroforcing precoding and bring advantages over these precoders by operating PAs in a more power-efficient region and reducing the total radiated distortion. Our numerical results show that by controlling the power variations between antennas in the array and incorporating the nonlinearity properties of PA into the precoder optimization, significant gains in energy efficiency can be achieved over conventional precoding techniques.
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LONG, Hang, Wenbo WANG, Fangxiang WANG, and Kan ZHENG. "Distributed Spatial-Temporal Precoding with Limited Feedback." IEICE Transactions on Communications E93-B, no. 2 (2010): 407–10. http://dx.doi.org/10.1587/transcom.e93.b.407.

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Zhang, Bijun, Guangxi Zhu, and Yingzhuang Liu. "Precoding for multiuser spatial multiplexing MIMO downlink." Tsinghua Science and Technology 11, no. 5 (October 2006): 597–605. http://dx.doi.org/10.1016/s1007-0214(06)70239-5.

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Medra, Ahmed, and Timothy N. Davidson. "Spatial Reuse Precoding for Scalable Downlink Networks." IEEE Transactions on Signal Processing 63, no. 22 (November 2015): 5976–89. http://dx.doi.org/10.1109/tsp.2015.2461511.

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Humadi, Khaled M., Ahmed Iyanda Sulyman, and Abdulhameed Alsanie. "Spatial Modulation Concept for Massive Multiuser MIMO Systems." International Journal of Antennas and Propagation 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/563273.

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This paper presents the concept of spatial modulation (SM) scheme for massive multiuser MIMO (MU-MIMO) system. We consider a MU-MIMO system whereKusers, each equipped with multiple antennas, are jointly serviced by a multiantenna base station transmitter (BSTx) using appropriate precoding scheme at the BSTx. The main idea introduced here is the utilization of the user’s subchannel index corresponding to the precoding matrix used at the BSTx, to convey extra useful information. This idea has not been explored, and it provides significant throughput enhancements in a multiuser system with large number of users. We examine the performance of the proposed scheme by numerical simulations. The results show that as the number of users and the receiving antennas for each user increase, the overall system throughput gets better, albeit at the cost of some degradation in the BER performance due to interantenna interference (IAI) experienced at the receiver. We then explore zero-padding approach that helps to remove these IAI, in order to alleviate the BER degradations.
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Dissertations / Theses on the topic "Spatial precoding"

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Sun, Yafei, and Deva K. Borah. "Performance Study of Precoding Techniques on Generalized Spatial Modulation with Correlated Antennas." International Foundation for Telemetering, 2015. http://hdl.handle.net/10150/596384.

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ITC/USA 2015 Conference Proceedings / The Fifty-First Annual International Telemetering Conference and Technical Exhibition / October 26-29, 2015 / Bally's Hotel & Convention Center, Las Vegas, NV
Spatial modulation (SM) reduces transceiver complexity and inter-channel interference over traditional multiple input multiple output (MIMO) systems. It has been shown recently in the literature that the use of a precoder in an SM or a generalized spatial modulation (GSM) system can significantly improve error performance. This paper investigates two issues related to precoders: 1) the use of a precoder in Alamouti-GSM systems, and 2) the effects of power constraints on the precoder design. The results in this paper show that Alamouti-GSM can improve system performance by several dB. On power constraint issues, the paper shows that there is a trade-off between limiting antenna power fluctuations and the potential gain due to precoders.
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Jiang, Jing. "Capacity-approaching data transmission in MIMO broadcast channels." Diss., Virginia Tech, 2004. http://hdl.handle.net/10919/11208.

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This dissertation focuses on downlink multi-antenna transmission with packet scheduling in a wireless packet data network. The topic is viewed as a critical system design problem for future high-speed packet networks requiring extremely high spectral efficiency. Our aim is to illustrate the interaction between transmission schemes at the physical layer and scheduling algorithms at the medium access control (MAC) layer from a sum-capacity perspective. Various roles of multiple antennas are studied under channel-aware scheduling, including diversity, beamforming and spatial multiplexing. At a system performance level, our work shows that downlink throughput can be optimized by joint precoding across multiple transmit antennas and exploiting small-scale fading of distributed multiple input and multiple output (MIMO) channels. There are three major results in this dissertation. First, it is shown that over a MIMO Gaussian broadcast channel, and under channel-aware scheduling, open-loop transmit antenna diversity actually reduces the achievable sum rate. This reveals a negative interaction between open-loop antenna diversity and the closed-loop multiuser diversity through scheduling. Second, a suboptimal dirty paper coding (DPC) approach benefits greatly from multiuser diversity by an efficient packet scheduling algorithm. Performance analysis of a suboptimal greedy scheduling algorithm indicates that, compared with the receiver-centric V-BLAST method, it can achieve a much larger scheduling gain over a distributed MIMO channel. Further, pre-interference cancellation allows for transmissions free of error propagation. A practical solution, termed Tomlinson-Harashima precoding (THP), is studied under this suboptimal scheduling algorithm. Similar to V-BLAST, a reordering is applied to minimize the average error rate, which introduces only a negligible sum-rate loss in the scenarios investigated. Third, for an orthogonal frequency division multiplexing (OFDM) system using MIMO precoding, it is shown that a DPC-based approach is readily applicable and can be easily generalized to reduce the peak-to-average power ratio (PAR) up to 5 dB without affecting the receiver design. Simulations show that in an interference-limited multi-cell scenario, greater performance improvement can be achieved by interference avoidance through adaptive packet scheduling, rather than by interference diversity or averaging alone. These findings suggest that, coordinated with channel-aware scheduling, adaptive multiplexing in both spatial and frequency domains provides an attractive downlink solution from a total capacity point of view.
Ph. D.
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Lamahewa, Tharaka Anuradha, and tharaka lamahewa@anu edu au. "Space-Time Coding and Space-Time Channel Modelling for Wireless Communications." The Australian National University. Research School of Information Sciences and Engineering, 2007. http://thesis.anu.edu.au./public/adt-ANU20070816.152647.

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In this thesis we investigate the effects of the physical constraints such as antenna aperture size, antenna geometry and non-isotropic scattering distribution parameters (angle of arrival/departure and angular spread) on the performance of coherent and non-coherent space-time coded wireless communication systems. First, we derive analytical expressions for the exact pairwise error probability (PEP) and PEP upper-bound of coherent and non-coherent space-time coded systems operating over spatially correlated fading channels using a moment-generating function-based approach. These analytical expressions account for antenna spacing, antenna geometries and scattering distribution models. Using these new PEP expressions, the degree of the effect of antenna spacing, antenna geometry and angular spread is quantified on the diversity advantage (robustness) given by a space-time code. It is shown that the number of antennas that can be employed in a fixed antenna aperture without diminishing the diversity advantage of a space-time code is determined by the size of the antenna aperture, antenna geometry and the richness of the scattering environment. ¶ In realistic channel environments the performance of space-time coded multiple-input multiple output (MIMO) systems is significantly reduced due to non-ideal antenna placement and non-isotropic scattering. In this thesis, by exploiting the spatial dimension of a MIMO channel we introduce the novel use of linear spatial precoding (or power-loading) based on fixed and known parameters of MIMO channels to ameliorate the effects of non-ideal antenna placement on the performance of coherent and non-coherent space-time codes. The spatial precoder virtually arranges the antennas into an optimal configuration so that the spatial correlation between all antenna elements is minimum. With this design, the precoder is fixed for fixed antenna placement and the transmitter does not require any feedback of channel state information (partial or full) from the receiver. We also derive precoding schemes to exploit non-isotropic scattering distribution parameters of the scattering channel to improve the performance of space-time codes applied on MIMO systems in non-isotropic scattering environments. However, these schemes require the receiver to estimate the non-isotropic parameters and feed them back to the transmitter. ¶ The idea of precoding based on fixed parameters of MIMO channels is extended to maximize the capacity of spatially constrained dense antenna arrays. It is shown that the theoretical maximum capacity available from a fixed region of space can be achieved by power loading based on previously unutilized channel state information contained in the antenna locations. We analyzed the correlation between different modal orders generated at the transmitter region due to spatially constrained antenna arrays in non-isotropic scattering environments, and showed that adjacent modes contribute to higher correlation at the transmitter region. Based on this result, a power loading scheme is proposed which reduces the effects of correlation between adjacent modes at the transmitter region by nulling power onto adjacent transmit modes. ¶ Furthermore, in this thesis a general space-time channel model for down-link transmission in a mobile multiple antenna communication system is developed. The model incorporates deterministic quantities such as physical antenna positions and the motion of the mobile unit (velocity and the direction), and random quantities to capture random scattering environment modeled using a bi-angular power distribution and, in the simplest case, the covariance between transmit and receive angles which captures statistical interdependency. The Kronecker model is shown to be a special case when the power distribution is separable and is shown to overestimate MIMO system performance whenever there is more than one scattering cluster. Expressions for space-time cross correlations and space-frequency cross spectra are given for a number of scattering distributions using Gaussian and Morgenstern's family of multivariate distributions. These new expressions extend the classical Jake's and Clarke's correlation models to general non-isotropic scattering environments.
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Brandt, Rasmus. "Polynomial Matrix Decompositions : Evaluation of Algorithms with an Application to Wideband MIMO Communications." Thesis, Uppsala universitet, Signaler och System, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-134389.

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The interest in wireless communications among consumers has exploded since the introduction of the "3G" cell phone standards. One reason for their success is the increasingly higher data rates achievable through the networks. A further increase in data rates is possible through the use of multiple antennas at either or both sides of the wireless links. Precoding and receive filtering using matrices obtained from a singular value decomposition (SVD) of the channel matrix is a transmission strategy for achieving the channel capacity of a deterministic narrowband multiple-input multiple-output (MIMO) communications channel. When signalling over wideband channels using orthogonal frequency-division multiplexing (OFDM), an SVD must be performed for every sub-carrier. As the number of sub-carriers of this traditional approach grow large, so does the computational load. It is therefore interesting to study alternate means for obtaining the decomposition. A wideband MIMO channel can be modeled as a matrix filter with a finite impulse response, represented by a polynomial matrix. This thesis is concerned with investigating algorithms which decompose the polynomial channel matrix directly. The resulting decomposition factors can then be used to obtain the sub-carrier based precoding and receive filtering matrices. Existing approximative polynomial matrix QR and singular value decomposition algorithms were modified, and studied in terms of decomposition quality and computational complexity. The decomposition algorithms were shown to give decompositions of good quality, but if the goal is to obtain precoding and receive filtering matrices, the computational load is prohibitive for channels with long impulse responses. Two algorithms for performing exact rational decompositions (QRD/SVD) of polynomial matrices were proposed and analyzed. Although they for simple cases resulted in excellent decompositions, issues with numerical stability of a spectral factorization step renders the algorithms in their current form purposeless. For a MIMO channel with exponentially decaying power-delay profile, the sum rates achieved by employing the filters given from the approximative polynomial SVD algorithm were compared to the channel capacity. It was shown that if the symbol streams were decoded independently, as done in the traditional approach, the sum rates were sensitive to errors in the decomposition. A receiver with a spatially joint detector achieved sum rates close to the channel capacity, but with such a receiver the low complexity detector set-up of the traditional approach is lost. Summarizing, this thesis has shown that a wideband MIMO channel can be diagonalized in space and frequency using OFDM in conjunction with an approximative polynomial SVD algorithm. In order to reach sum rates close to the capacity of a simple channel, the computational load becomes restraining compared to the traditional approach, for channels with long impulse responses.
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Silva, Bruno Miguel Fernandes. "Implementation of a SM-MIMO precoder for 4G/LTE in a SDR platform." Master's thesis, Universidade de Aveiro, 2014. http://hdl.handle.net/10773/13702.

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Mestrado em Engenharia Eletrónica e Telecomunicações
The main goal of this dissertation is the development and evaluation of new techniques to be used in new generation of wireless comunication devices. It focuses on the usage of multiple antennas (MIMO), precoding and the usage of spatial multiplexing in disregard of diversity techniques. This makes possible to increase data rates considerably. Throughout the document, are shown several multiplexing techniques, theoretical information about wireless propagation, and multiple antennas techniques. It was proposed and implemented a spatial multiplexing system. Firstly it was implemented in Matlab, with two precoders tested: Zero Forcing (ZF) and Minimum Mean Square Error (MMSE). Subsequently a System Generator implementation (this time with only ZF equalizer) was made in order to make possible the migration to FPGAs. Both implementations were tested and validated, we also concluded that ZF based pre-coder had a lower Bit Error Rate for the same Signal to Noise Ratio (SNR).
O tema central deste trabalho de dissertação centra-se no desenvolvimento e teste de novas técnicas para utilização em comunicações sem-fios de nova geração. Foca-se no uso de várias antenas, técnicas de pré-codificação e no uso de multiplexagem espacial em detrimento de diversidade, de forma a aumentar a largura de banda. Ao longo do documento são apresentadas várias técnicas de multiplexagem, bem como bases teóricas de propagação de sinais rádio e técnicas baseadas no uso de várias antenas no emissor e recetor (MIMO). Foi proposto um sistema de pré-codificação baseado em diversidade espacial. A implementação e teste do bloco pré-codificador SMMIMO foi realizada em primeiro lugar usando um simulador Matlab para efeito de comparação. Foram implementados dois equalizadores: Zero Forcing (ZF) e Minimum Mean Square Error (MMSE); posteriormente procedeu-se à implementação em System Generator de um pré-codificador com equalização ZF, de forma a ser possível a sua implementação em FPGAs. Esta implementação foi igualmente validada por comparação com o bloco implementado em Matlab.
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Komulainen, P. (Petri). "Coordinated multi-antenna techniques for cellular networks:Pilot signaling and decentralized optimization in TDD mode." Doctoral thesis, Oulun yliopisto, 2013. http://urn.fi/urn:isbn:9789526202815.

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Abstract This thesis concentrates on the design and evaluation of spatial user multiplexing methods via linear transmit-receive processing for wireless cellular multi-user multiple-input multiple-output (MIMO) communication systems operating in the time-division duplexing (TDD) mode. The main focus is on the acquisition of effective channel state information (CSI) that facilitates decentralized processing so that the network nodes – base stations (BS) and user terminals (UT), each employing an arbitrary number of antenna elements – are able to locally participate in the network adaptation. The proposed methods rely on the uplink-downlink channel reciprocity and spatially precoded over-the-air pilot signaling. Considering (single-cell) multi-user MIMO systems, coordinated zero-forcing transmit-receive processing schemes for the uplink (UL) are proposed. The BS computes the transmission parameters in a centralized manner and employs downlink (DL) pilot signals to convey the information of the beamformers to be used by the UTs. When coexisting with the DL zero-forcing, the precoded DL demodulation pilots can be reused for UL beam allocation, and the precoded UL demodulation pilots are reused in turn for partial channel sounding (CS). As a result, only the precoded pilot symbols are needed in both UL and DL. Moreover, a concept for reducing the number of the required orthogonal UL CS pilot resources is presented. Based on their DL channel knowledge, the multi-antenna UTs form fewer pilot beams by spatial precoding than conventionally needed when transmitting antenna-specific pilots. In the context of DL zero-forcing, when taking into account the CSI estimation error at the BS, the overhead reduction turns out to improve robustness and increase the average system capacity. Considering multi-cell multi-user MIMO systems, decentralized coordinated DL beamforming strategies based on weighted sum rate (WSR) maximization are proposed. An optimization framework where the WSR maximization is carried out via weighted sum mean-squared-error minimization is utilized, and the approach is generalized by employing antenna-specific transmit power constraints. The iterative processing consists of optimization steps that are run locally by the BSs. In one novel strategy, the coordinating cells update their transmit precoders and receivers one cell at a time, which guarantees monotonic convergence of the network-wide problem. The strategy employs separate uplink CS and busy burst pilot signaling to reveal the effective channels of the UTs to the neighboring BSs. In another novel strategy, the monotonic convergence is sacrificed to devise a faster scheme where the BSs are allowed to optimize their variables in parallel based on just the CS responses and additional low-rate backhaul information exchange. The numerical results demonstrate that WSR maximization has the desirable property that spatial user scheduling is carried out implicitly. Finally, methods for UL CS overhead reduction are presented, and the effect of CSI uncertainty is addressed
Tiivistelmä Tämä väitöskirja keskittyy lineaarisella lähetys- ja vastaanottoprosessoinnilla toteutettavien tilajakomonikäyttömenetelmien suunnitteluun ja arviointiin langattomissa moniantennisissa solukkoverkoissa, jotka hyödyntävät aikajakodupleksointia (TDD). Erityisesti tarkastellaan efektiivisen kanavatiedon hankintaa, joka mahdollistaa hajautetun prosessoinnin siten että verkkoelementit – tukiasemat ja terminaalit, jotka kukin hyödyntävät useaa antennielementtiä – voivat osallistua paikallisesti verkon adaptaatioon. Esitetyt menetelmät perustuvat ylä- ja alalinkin kanavien resiprookkisuuteen ja tilatasossa esikoodattuun opetus- eli pilottisignalointiin ilmarajapinnan yli. Yksisoluisille monikäyttäjä- ja moniantennijärjestelmille esitetään ylälinkin koordinoituja nollaanpakottavia lähetys- ja vastaanottomenetelmiä. Tukiasema laskee lähetysparametrit keskitetysti ja käyttää pilottisignaaleja kertomaan millaista lähetyskeilanmuodostusta terminaalien tulee käyttää. Alalinkin nollaanpakotuksen yhteydessä esikoodattuja demodulaatiopilotteja voidaan uudelleenkäyttää ylälinkin lähetyskeilojen allokointiin, ja esikoodattuja ylälinkin demodulaatiopilotteja uudelleenkäytetään puolestaan osittaiseen kanavan luotaukseen (sounding). Näin ollen molempiin suuntiin tarvitaan vain esikoodatut pilotit. Lisäksi työssä esitetään menetelmä ylälinkin luotauspilottiresurssitarpeen vähentämiseksi. Kanavatietoon perustuen moniantenniset terminaalit muodostavat tilatasossa esikoodattuja pilottilähetyskeiloja, joita tarvitaan vähemmän kuin perinteisiä antennikohtaisia pilotteja. Kun otetaan huomioon kanavanestimointivirhe tukiasemassa, resurssiensäästömenetelmä parantaa häiriösietoisuutta ja nostaa järjestelmän keskimääräistä kapasiteettia alalinkin nollaanpakotuksen yhteydessä. Monisoluisille monikäyttäjä- ja moniantennijärjestelmille esitetään hajautettuja koordinoituja alalinkin keilanmuodostusstrategioita, jotka perustuvat painotetun summadatanopeuden (WSR) maksimointiin. Valitussa optimointikehyksessä WSR:n maksimointi toteutetaan painotetun summaneliövirheen minimoinnin kautta, ja työssä menettelytapa yleistetään antennikohtaisten lähetystehorajoitusten tapaukseen. Iteratiivinen prosessointi koostuu optimointiaskelista, jotka tukiasemat paikallisesti suorittavat. Yhdessä esitetyssä strategiassa yhteistoiminnalliset solut päivittävät lähettimensä ja vastaanottimensa yksi solu kerrallaan, mikä takaa verkonlaajuisen ongelmanratkaisun monotonisen konvergenssin. Tämä strategia käyttää erillisiä ylälinkin luotaussignaaleja sekä varattu-signaaleja ilmaistakseen terminaalien efektiiviset kanavat naapuritukiasemille. Toisessa strategiassa monotoninen konvergenssi uhrataan ja kehitetään nopeammin adaptoituva menetelmä, jossa tukiasemat saavat optimoida muuttujansa rinnakkain, perustuen vain luotaussignaaleihin ja tukiasemien väliseen informaationvaihtoon. Numeeriset tulokset osoittavat, että WSR:n maksimointi toteuttaa aktiivisten käyttäjien valinnan tilatasossa implisiittisesti. Lopuksi esitetään menetelmiä luotauspilottiresurssitarpeen vähentämiseksi ja käsitellään kanavatiedon epävarmuuden vaikutusta
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Kouassi, Boris Rodrigue. "Stratégies de coopération dans les réseaux radio cognitif." Phd thesis, Université Nice Sophia Antipolis, 2013. http://tel.archives-ouvertes.fr/tel-00921559.

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Les réseaux radio actuelles utilisent le spectre inefficacement, car une bande de fréquence est allouée de façon permanente à une technologie spécifique. Vu que le spectre est une ressource limitée, cette attribution statique ne pourra bientôt plus combler les besoins des systèmes de transmission qui ne cessent de croître. On peut toutefois optimiser l'utilisation du spectre en permettant des transmissions secondaires (SU) dans les espaces libres du primaire (PU). Cette vision constitue l'objectif principal de la radio cognitive. Nous proposons d'évaluer les stratégies de transmission pour la coexistence des systèmes primaires (PU) et SU dans les mêmes réseaux. Plus concrètement, nous nous focalisons sur un scénario spatial interweave en émettant les signaux SU dans les espaces vides du PU à l'aide d'un précodeur linéaire. Néanmoins, ce précodage nécessite une connaissance a priori des canaux interférents. L'échange d'informations entre le PU et le SU étant proscrit, nous exploitons l'hypothèse de la réciprocité du canal. Cette hypothèse compense l'absence de coopération, mais elle n'est pas si évidente à exploiter en pratique à cause des perturbations des circuits radio fréquence. Nous suggérons de compenser ces perturbations par des méthodes de calibration relative. Nous proposons ensuite une implémentation temps-réel des solutions sur une plateforme LTE. Pour finir, nous généralisons l'approche RC à un système de transmission multi-utilisateurs, à travers une combinaison des techniques RC et massive MIMO, cette approche constitue s'établit comme une solution à la progression exponentielle du trafic.
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Lee, Meng-Ying, and 李孟穎. "Beamforming-Based Spatial Precoding in FDD Massive MIMO Systems." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/79934736016181538882.

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碩士
國立臺灣大學
電信工程學研究所
102
In this thesis, we proposed a beamforming-based spatial precoding scheme in frequency division duplex (FDD) massive multiple-input-multiple-output (MIMO) systems in order to reduce the downlink training overhead and channel state information (CSI) feedback overhead. When the number of transmit antennas on a base station (BS) is growing large in massive MIMO systems, the downlink training overhead for CSI estimation and the CSI feedback overhead is growing tremendously. This problem would be more critical when we combine orthogonal frequency-division multiplexing (OFDM) with massive MIMO for applying frequency-flat channel in each subcarrier. The proposed method reduces the downlink training overhead and the CSI feedback overhead, thus enhances spectral efficiency. Simulation results show that the proposed method can estimate CSI without heavy downlink training overhead and the CSI feedback overhead is significantly reduced. Furthermore, the proposed method also applies lower computation complexity comparing with other algorithms in recent literature.
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Huang, Chiahung, and 黃嘉宏. "Link Adaptation and Precoding for Spatial Multiplexing in LTE System." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/00396885076682746929.

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碩士
國立暨南國際大學
通訊工程研究所
99
This thesis presents an efficient method for calculating the Precoding Matrix Indicator (PMI), Rank Indicator (RI) and Channel Quality Indicator (CQI) at a Long Term Evolution (LTE) User Equipment (UE). The indicators are required for spatial preprocessing and link adaption in the downlink of a 3GPP UMTS/LTE system. In order to reduce the computational complexity for the UE, it is must to be decomposes the problem into two separate steps, one of jointly evaluating the PMI and RI based on a mutual information metric and one of choosing the CQI value to achieve a given target Block Error Ratio (BLER) constraint. We use these two steps proposed several methods to reduce complexity. The first is a majority vote method (Majority), the second is a channel average method (Average) and the third is a reference signal method (Reference). We use the proposed algorithm to analyzing how much complexity can be reduced without losing too much throughput.
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CHEN, GUAN-CYUN, and 陳冠群. "A Research on Constant Envelope Precoder Design for Precoding-Aided Spatial Modulation." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/y5kgub.

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碩士
國立中正大學
通訊工程研究所
106
In this thesis, we investigate constant envelope (CE) precoder designs for precodingaided spatial modulation (PSM) multiple-input multiple-output (MIMO) systems. In contrast to the existing precoders in PSM systems, CE precoder results in lower peak-average-power-ratio, and achieves higher power efficiency. We focus on design problems under per antenna constant power constraints. An iterative algorithm is derived to solve the formulated maximum signal-to-leakage-and-noise ratio problem. The performance of the proposed precoders is demonstrated through numerical simulations.
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Book chapters on the topic "Spatial precoding"

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Huang, Jinwei, Wenbin Zhang, Yingze Xie, and Shaochuan Wu. "A New Nonlinear Precoding Scheme for Spatial Modulation." In Lecture Notes in Electrical Engineering, 65–72. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-6264-4_8.

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Hofbauer, Christian, Yann Lebrun, Valéry Ramon, André Bourdoux, François Horlin, and Mario Huemer. "Diversity Order of Spatial Multiplexing with Transmit Antenna Correlation Based Precoding." In Computer Aided Systems Theory - EUROCAST 2009, 477–84. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-04772-5_62.

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Yu, Caihong, Kejun Jia, and Zheng Yang. "On Linear Precoding of Unitary Space-Time Modulation for Spatial-Temporal Correlated Flat Fading Channel." In Advances in Smart Vehicular Technology, Transportation, Communication and Applications, 117–23. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-70730-3_15.

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Li, Anjian, Chongxiu Yu, Zhuo Chen, and Dongmei Fang. "Performance of Tomlinson-Harashima Precoding over Spatially Correlated MIMO Channels." In Wireless Algorithms, Systems, and Applications, 264–70. Berlin, Heidelberg: Springer Berlin Heidelberg, 2006. http://dx.doi.org/10.1007/11814856_26.

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Badic, Biljana, and Jinho Choi. "Joint Beamforming and Space-Time Coding for MIMO Channels." In Handbook on Advancements in Smart Antenna Technologies for Wireless Networks, 264–85. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-59904-988-5.ch013.

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This chapter introduces joint beamforming (or precoding) and space-time coding for multiple input multiple output (MIMO) channels. First, we explain key ideas of beamforming and space- time coding and then we discuss the joint design of beamformer and space-time codes and its benefits. Beamforming techniques play a key role in smart antenna systems as they can provide various features, including spatially selective transmissions to increase the capacity and coverage increase. STC techniques can offer both coding gain and diversity gain over MIMO channels. Thus, joint beamforming and STC is a more practical approach to exploit both spatial correlation and diversity gain of MIMO channels. We believe that joint design will be actively employed in future standards for wireless communications.
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Conference papers on the topic "Spatial precoding"

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Cheng, Peng, Zhuo Chen, J. Andrew Zhang, Yonghui Li, and Branka Vucetic. "Low-Complexity Precoding for Spatial Modulation." In 2017 IEEE 86th Vehicular Technology Conference (VTC-Fall). IEEE, 2017. http://dx.doi.org/10.1109/vtcfall.2017.8287986.

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Sourour, Essam. "Codebook Based Precoding for Spatial Modulation." In 2019 IEEE 89th Vehicular Technology Conference (VTC2019-Spring). IEEE, 2019. http://dx.doi.org/10.1109/vtcspring.2019.8746429.

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Simon, Claude, and Geert Leus. "Feedback Reduction for Spatial Multiplexing with Linear Precoding." In 2007 IEEE International Conference on Acoustics, Speech, and Signal Processing. IEEE, 2007. http://dx.doi.org/10.1109/icassp.2007.366465.

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Jinho Choi, Byung Jang Jeong, and Jae Young Ahan. "Precoding for spatial multiplexing with MIMO iterative receiver." In IEEE Wireless Communications and Networking Conference, 2006. WCNC 2006. IEEE, 2006. http://dx.doi.org/10.1109/wcnc.2006.1696479.

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Vo, Binh T., Ha H. Nguyen, and Nguyen Quoc-Tuan. "Spatial modulation for OFDM with linear constellation precoding." In 2015 International Conference on Advanced Technologies for Communications (ATC). IEEE, 2015. http://dx.doi.org/10.1109/atc.2015.7388324.

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Tirkkonen, O., K. Hugl, and Y. Teng. "Two-Tx Precoding Codebooks for Variable Spatial Correlation." In ICC 2009 - 2009 IEEE International Conference on Communications. IEEE, 2009. http://dx.doi.org/10.1109/icc.2009.5199548.

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Medra, Ahmed, and Timothy N. Davidson. "Fractional spatial reuse precoding for MIMO downlink networks." In ICASSP 2015 - 2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2015. http://dx.doi.org/10.1109/icassp.2015.7178536.

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Chen, Jinhui, Wei Fang, Fanglei Sun, Peng Shang, and Jun Wang. "Precoding with Known Transmit Coupling and Spatial Covariance Matrices." In 2012 IEEE Vehicular Technology Conference (VTC 2012-Spring). IEEE, 2012. http://dx.doi.org/10.1109/vetecs.2012.6240089.

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Wu, Feilong, Chen Dong, Lie-Liang Yang, and Wenjie Wang. "Secure Wireless Transmission Based on Precoding-Aided Spatial Modulation." In GLOBECOM 2015 - 2015 IEEE Global Communications Conference. IEEE, 2014. http://dx.doi.org/10.1109/glocom.2014.7417389.

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Wu, Feilong, Chen Dong, Lie-Liang Yang, and Wenjie Wang. "Secure Wireless Transmission Based on Precoding-Aided Spatial Modulation." In GLOBECOM 2015 - 2015 IEEE Global Communications Conference. IEEE, 2015. http://dx.doi.org/10.1109/glocom.2015.7417389.

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