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.
Full textSpatial 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.
Jiang, Jing. "Capacity-approaching data transmission in MIMO broadcast channels." Diss., Virginia Tech, 2004. http://hdl.handle.net/10919/11208.
Full textPh. D.
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.
Full textBrandt, 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.
Full textSilva, 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.
Full textThe 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.
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.
Full textTiivistelmä 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
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.
Full textLee, Meng-Ying, and 李孟穎. "Beamforming-Based Spatial Precoding in FDD Massive MIMO Systems." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/79934736016181538882.
Full text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.
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.
Full text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.
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.
Full text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.
YANG, HSIN-CHING, and 楊欣靜. "A Research on One-Bit Precoder Design for Precoding-Aided Spatial Modulation." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/pu428x.
Full text國立中正大學
通訊工程研究所
107
Precoders in existing precoding-aided spatial modulation (PSM) multiple-input multiple-output (MIMO) systems, such as minimum mean square error (MMSE) precoder and zero forcing (ZF) precoder, are often equipped with high-resolution DACs. As the power consumption of DACs grow exponentially with the resolution, high hardware complexity and excessive circuit power consumption is required in conventional design. In order to address this issue, we propose to design the precoder of a PSM-MIMO system facilitating the use of 1-bit DACs at the transmitter. In this thesis, we propose two precoder designs for PSM-MIMO system under 1-bit DAC hardware constraints. Finally, numerical simulations ar performed to verify the bit error rate performance of our proposed one-bit precoders.
HUNG, LI-CHIEH, and 洪立桀. "A Research on Phase Rotation Precoding Aided Transmit Antenna Selection for Spatial Modulation Systems." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/b8288t.
Full text國立中正大學
通訊工程研究所
106
Spatial modulation (SM) is a novel multiple input multiple output (MIMO) transmission scheme. SM is capable of utilizing the indices of transmit antennas as an additional dimension for bits transmission besides the traditional amplitude and phase modulation, and hence increases energy efficiency. In recent studies, researchers introduce phase rotation precoding (PRP) for spatial modulation, which can improve bit error rate performance compared with SM. This thesis proposes a low complexity PRP algorithm that can achieve the same bit error rate performance. Furthermore, this thesis investigates a new algorithm, low complexity PRP aided transmit antenna selection and exploits this algorithm in SM system. Finally, we verify the proposed designs using computer simulations.
Sun, Wei-En, and 孫偉恩. "Optimal Beamforming-Based Spatial Precoding under Digital and Hybrid Structures for Massive MIMO Systems." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/6653dt.
Full text國立臺灣大學
電信工程學研究所
106
To reduce the overhead of downlink training and channel state information (CSI) in frequency-division duplex (FDD) massive multiple-input multiple-output (massive MIMO) systems, previous scholars proposed a beamforming-based spatial precoding (BBSP) method. Our laboratory previously proposed a beamforming selection spatial precoding (BSSP) method to modify BBSP, using a particle swarm optimization algorithm (PSO) and cooperatively coevolving particle swarm optimization algorithm (CCPSO2) to adjust the amplitude and phase parameters of the beamforming coefficients, and hence reduce the interference between users. It not only retains the original BBSP with lower downlink training and CSI feedback overhead, but also achieves better bit error rate (BER) performance than the original BBSP. In the presence of the spatial correlation(SC) and the mutual coupling(MC) effects, the antennas positions affect the bit error rate (BER) of the BSSP. We have found that adjusting the antenna positions, the amplitude and phase of the precoding matrix can simultaneously achieve lower bit error rate (BER) than that of using Uniform Linear Array (ULA) or Uniform Circular Array (UCA). We also found that the BSSP can be used in hybrid beamforming systems to reduce the hardware cost and power consumption for mm-wave MIMO systems. We used CCPSO to adjust Analog precoder, and used the MMSE criterion to calculate the Baseband precoder. We call this method Hybrid MMSE CCPSO-BSSP. We use the Quasi-orthogonal Space-time block code (QOSTBC) to transmit data in BSSP. Under the circumstances, the decoding method of the traditional QOSTBC in the case of Single user was improved. From the simulation results, we observe that Hybrid MMSE CCPSO-BSSP and Hybrid MMSE CCPSO-BSSP-QOSTBC outperform the existing methods for in Massive MIMO systems under several channel environments with the SC and MC effects.
Ko, Chen-Yen, and 柯俊言. "A Study on Precoding and Equalization for the Spatial Multiplexing Mode of IEEE 802.16m Closed-Loop MIMO." Thesis, 2011. http://ndltd.ncl.edu.tw/handle/65056801497442451147.
Full text國立交通大學
電子研究所
99
MIMO channels arising from the use of multiple antennas at both the transmitter and at the receiver have recently attracted significant interest because they provide a significant increase in capacity and reliability over single-input single-output (SISO) channels under some uncorrelation conditions. We focus on Precoding and Equalization for the Spatial Multiplexing Mode of IEEE 802.16m Closed-Loop MIMO. We present two equalizer methods. One is Zero-forcing equalizer. It is an inverse filter in frequency domain. This is the easiest equalizer. It can remove the ISI, but it will increase the noise. The other method is MMSE equalizer. This method is designed to minimize the mean square error of the receive signal and the transmit signal. It can not remove all of the ISI, but it will not increase the noise. A problem associated with precoding is that the channel state information must be known at transmitter. This may be difficult since the bandwidth of the feedback channel is usually limited. Thus, a codebook-based limited feedback precoding scheme is generally used. The main idea is to quantize the precoding matrix and feedback the index of the optimum precoder. We based on these two equalizers to design the selection method to select the best precoder. We proposed MMSE-Based and MaxminSNR-Based method. MMSE-Based method finds the precoder has the minimum mean square error. MaxminSNR-Based method finds the precoder that maximizes the minimum SNR of the two antennas. This method has to calculate each precoder’s antenna SNR. Then, we select the appropriate one to transmit back. We will compare with the following two methods. First is SVD-Based method. We take the singular value decomposition (SVD) of the channel matrix. The right singular vector of the channel matrix is the best ZF equalizer. We calculate all the chordal distance of the possible precoder and the best ZF equalizer. Then, we transmit the precoder. Second is the optimum precoder computation. We use water-filling method to get the solution. We verify our simulation model on AWGN channel and then do the simulation on singlepath and multipath channels for IEEE 802.16m. In this thesis, we first introduce the standard of the IEEE 802.16m. Then we describe the precoding and equalization methods we use and discuss the performance in each transmission condition for IEEE 802.16m.
Lamahewa, Tharaka Anuradha. "Space-Time Coding and Space-Time Channel Modelling for Wireless Communications." Phd thesis, 2006. http://hdl.handle.net/1885/47658.
Full text