Relevant bibliographies by topics / Higher-order MIMO detection

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  2. Dissertations / Theses
  3. Conference papers

Academic literature on the topic 'Higher-order MIMO detection'

Author: Grafiati
Published: 4 June 2021
Last updated: 25 May 2024

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Journal articles on the topic "Higher-order MIMO detection"

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Persson, Daniel, and Erik G. Larsson. "Partial Marginalization Soft MIMO Detection With Higher Order Constellations." IEEE Transactions on Signal Processing 59, no. 1 (January 2011): 453–58. http://dx.doi.org/10.1109/tsp.2010.2068293.

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Nakano-Miyatake, Mariko, and Hector Manuel Perez-Meana. "Blind Detection in MIMO-OFDM Systems using Higher Order Statistics." Telecommunications and Radio Engineering 67, no. 19 (2008): 1769–75. http://dx.doi.org/10.1615/telecomradeng.v67.i19.70.

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Yokota, Yuji, and Hiroshi Ochi. "Complexity Reduction of Higher Order MIMO Decoder Using Group Detection." Journal of Signal Processing 20, no. 1 (2016): 21–29. http://dx.doi.org/10.2299/jsp.20.21.

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Ladvánszky, János. "Detection of 2x2 MIMO signals." Infocommunications journal 12, no. 3 (2020): 24–30. http://dx.doi.org/10.36244/icj.2020.3.4.

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In this paper, we investigate synchronization and equalization of 2 x 2 MIMO signals. We make a step further than that is described in our patent. In the patent, 3 PLLs and a four-channel adaptive filter was needed. Here we decrease the number of PLLs to two and use an adaptive filter of only four channels. In addition to that, we shortly introduce the filter method and the FFT method as well, for synchronization. False detection cancellation is also mentioned. The so-called 1-bit technique has been compared to our method. After briefly introducing the ideas, detailed Matlab or AWR analyses follow. Input data are real measurements, so the analyses serve also as experimental verifications. We take a glimpse on higher order MIMO and higher order modulations as well.
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Singh, Jasmeet, Andreas Ahrens, and Steffen Lochmann. "Joint Pre- and Post-Equalization with Higher-Order Modulation Formats in SDM-Based Optical MIMO Systems." Photonics 9, no. 11 (November 19, 2022): 876. http://dx.doi.org/10.3390/photonics9110876.

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The multiple-input and multiple-output (MIMO) technology is a promising area of research to cope up with the demands of higher data rates and capacity. In the optical communication domain, the combination of space-division multiplexing (SDM) with higher-order modulation (HOM) formats over an optical MIMO system actively addresses these challenges. By allowing multi-level signaling with limited increment in the transmitter’s complexity, a jointly designed pre- and post-equalization (PPE) for an optical MIMO system with a multi-mode fiber (MMF) link is proposed. Cost-effectiveness of the system is incorporated by utilizing intensity modulation/direct detection (IM/DD) with HOM formats such as pulse-amplitude modulation (PAM) schemes. With the aid of a numerical optimization algorithm, the proposed joint-PPE filter coefficients are optimized with respect to the MMF channel and the transmit power constraint. In contrast to existing research on the single-mode fiber (SMF) based optical systems, the effectiveness of the proposed joint-PPE filter is analyzed on an MMF link, which is considerably degraded by the modal dispersion. In the analyzed experimental scenario, the proposed joint-PPE scheme confirms to be beneficial as compared to the post-equalization only (PE-only) in terms of bit-error rate (BER) performance. Furthermore, the required average received optical power to reach a BER 10−4 by the joint-PPE scheme is improved by 2 dB with comparison to the minimum mean-squared error (MMSE) PE-only.
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Yang, Yanbo. "Signal detection algorithms for massive MIMO system." Applied and Computational Engineering 49, no. 1 (March 22, 2024): 21–30. http://dx.doi.org/10.54254/2755-2721/49/20241052.

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As 5G communication networks are maturing, we have higher and higher requirements for the detection of communication signals. In this paper, for the Massive MIMO system signal detection problem, we mainly summarize the detection algorithms that can be used to replace the traditional ZF and MMSE, so as to avoid large-scale matrix inverse and reduce the computational complexity. It mainly includes the general iterative method, typically represented by SSOR, which makes the transmit signal matrix constantly close to the ideal value by iterating; the other is the level expansion class solution method, which takes the order expansion of the level as the initial value of the iteration to accelerate the convergence rate of the algorithm, typically represented by the MLI algorithm. However, today where the demand for communication is gradually increasing and the number of users is constantly getting larger, the performance of the above algorithms may degrade seriously, so the AI signal detection algorithm is a good alternative, which learns autonomously through deep neural networks, including model-driven and data-driven schemes.
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Poornima, R., and A. Mahabub Basha. "Efficient Detection of Signal in MIMO System Using Modified Memetic Algorithm with Higher Order QAM Constellations." Applied Mathematics & Information Sciences 12, no. 3 (May 1, 2018): 665–71. http://dx.doi.org/10.18576/amis/120323.

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Chikha, Haithem Ben, Ahmad Almadhor, and Waqas Khalid. "Machine Learning for 5G MIMO Modulation Detection." Sensors 21, no. 5 (February 24, 2021): 1556. http://dx.doi.org/10.3390/s21051556.

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Modulation detection techniques have received much attention in recent years due to their importance in the military and commercial applications, such as software-defined radio and cognitive radios. Most of the existing modulation detection algorithms address the detection dedicated to the non-cooperative systems only. In this work, we propose the detection of modulations in the multi-relay cooperative multiple-input multiple-output (MIMO) systems for 5G communications in the presence of spatially correlated channels and imperfect channel state information (CSI). At the destination node, we extract the higher-order statistics of the received signals as the discriminating features. After applying the principal component analysis technique, we carry out a comparative study between the random committee and the AdaBoost machine learning techniques (MLTs) at low signal-to-noise ratio. The efficiency metrics, including the true positive rate, false positive rate, precision, recall, F-Measure, and the time taken to build the model, are used for the performance comparison. The simulation results show that the use of the random committee MLT, compared to the AdaBoost MLT, provides gain in terms of both the modulation detection and complexity.
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Rao Challagundla, Papa, P. Sumithabhashini, and P. Chandrasekhar Reddy. "Low Complexity Signal Detector for MIMO MCCDMA System for Longer Delay Channel." International Journal of Engineering & Technology 7, no. 3.12 (July 20, 2018): 423. http://dx.doi.org/10.14419/ijet.v7i3.12.16121.

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In recent years Multiple-input multiple-output (MIMO) Multi carrier code division multiple access (MCCDMA), which combines the advantage of diversities with high spectral efficiency has drawn great attention. In this paper we introduce a novel low-complexity multiple-input multiple-output (MIMO) MMSE detector tailored for MCDCDMA systems, suitable for frequency selective channel. The proposed detector begins with estimation of the minimum mean square error (MMSE) on less reliable symbols followed by iterative de-correlation as post-detection processing for mitigating multiple access interferences. Efficient high-throughput VLSI architecture is used to achieve superior performance compared to the conventional MMSE detectors. The performance of the proposed MMSE detector is close to the efficient maximum likelihood, with significant complexity reduction over higher order constellations. The efficiency of MIMO MCCDMA over high order constellations and its quality retentions are verified through MATLAB BER simulation.
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Lin, Chuan, Qing Chang, and Xianxu Li. "A Deep Learning Approach for MIMO-NOMA Downlink Signal Detection." Sensors 19, no. 11 (June 2, 2019): 2526. http://dx.doi.org/10.3390/s19112526.

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As a key candidate technique for fifth-generation (5G) mobile communication systems, non-orthogonal multiple access (NOMA) has attracted considerable attention in the field of wireless communication. Successive interference cancellation (SIC) is the main NOMA detection method applied at receivers for both uplink and downlink NOMA transmissions. However, SIC is limited by the receiver complex and error propagation problems. Toward this end, we explore a high-performance, high-efficiency tool—deep learning (DL). In this paper, we propose a learning method that automatically analyzes the channel state information (CSI) of the communication system and detects the original transmit sequences. In contrast to existing SIC schemes, which must search for the optimal order of the channel gain and remove the signal with higher power allocation factor while detecting a signal with a lower power allocation factor, the proposed deep learning method can combine the channel estimation process with recovery of the desired signal suffering from channel distortion and multiuser signal superposition. Extensive performance simulations were conducted for the proposed MIMO-NOMA-DL system, and the results were compared with those of the conventional SIC method. According to our simulation results, the deep learning method can successfully address channel impairment and achieve good detection performance. In contrast to implementing well-designed detection algorithms, MIMO-NOMA-DL searches for the optimal solution via a neural network (NN). Consequently, deep learning is a powerful and effective tool for NOMA signal detection.
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Dissertations / Theses on the topic "Higher-order MIMO detection"

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Thomas, Robin. "Stratégies de détection MIMO d'ordre supérieur avec applications au relayage pour les réseaux 4G+ et 5G." Thesis, Paris, ENST, 2016. http://www.theses.fr/2016ENST0081/document.

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Ce travail présente deux contributions clés dans le domaine des réseaux de communication sans fil 4G+/5G, en particulier dans le domaine de la détection MIMO d’ordre supérieur et le design (conception) de réseau relai semi-duplex. La première partie de ce travail de recherche s’intéresse au développement d’une stratégie de détection MIMO d’ordre supérieur pour les terminaux 4G+/5G existants et futurs, d’un point de vue à la fois théorique et pratique. Une nouvelle technique de décomposition QR Bloc de prétraitement est proposée pour un récepteur LTE dans un scénario limité à un seul utilisateur, interférence limitée, ainsi qu’un scénario point par point dont les résultats surlignent les avantages et inconvénients en performance et complexité. La deuxième partie de cette étude comprend une étude de faisabilité d’une stratégie de message novatrice à deux phases et trois parties pour un réseau relai semi-duplex à couche physique, qui comporte un codage de superposition et un décodage d’annulation d’interférence successif, conscient des interférences. Un point clé de cette étude était d’analyser la performance du schéma d’adaptation des liaisons proposées dans le régime non asymptotique et d’évaluer l’efficacité spectrale (ES) par rapport aux hypothèses théoriques des blocs d’asymptotiquement grandes longueurs. Une comparaison ES supplémentaire est également présentée, avec une transmission de relais à deux étapes non coopérative et une stratégie de transmission point à point. Les résultats obtenus révèlent les gains d'ES qui peuvent être obtenus en exploitant la coopération de couche physique entre le relais et la station de base
The evolution of wireless communication networks has always been rapidly progressive partly due to the demands of today’s data hungry users. This dissertation presents two key contributions to the body of knowledge in the evolving area of physical layer 4G+/5G communication technologies, especially in the domain of Higher-order MIMO detection and half-duplex relay network design. The initial part of this research investigates the development of a higher-order MIMO detection strategy for existing and future 4G+/5G receivers, from both a theoretical and practical perspective. A novel pre-processing Block QR decomposition technique has been proposed for an LTE receiver in a single-user interference-limited scenario as well as a point-to-point scenario with the results highlighting the complexity advantages and limitations in performance. The second part of this study involves a practical feasibility study of a novel two-phase three-part-message strategy for a physical layer half-duplex relay network, which features superposition coding and interference-aware successive interference cancellation decoding. A key aim of this study was to analyze the performance of the proposed link adaptation scheme in the non-asymptotic regime (finite block-length and discrete constellation signaling), and evaluate the spectral efficiency (SE) against the theoretical assumptions of asymptotically large block-lengths. An additional SE comparison with a non-cooperative two-hop relay transmission and point-to-point transmission strategy is also presented. The resulting outcomes reveal the SE gains that can be had by exploiting physical layer cooperation between the relay and base station
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Thomas, Robin. "Stratégies de détection MIMO d'ordre supérieur avec applications au relayage pour les réseaux 4G+ et 5G." Electronic Thesis or Diss., Paris, ENST, 2016. http://www.theses.fr/2016ENST0081.

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Ce travail présente deux contributions clés dans le domaine des réseaux de communication sans fil 4G+/5G, en particulier dans le domaine de la détection MIMO d’ordre supérieur et le design (conception) de réseau relai semi-duplex. La première partie de ce travail de recherche s’intéresse au développement d’une stratégie de détection MIMO d’ordre supérieur pour les terminaux 4G+/5G existants et futurs, d’un point de vue à la fois théorique et pratique. Une nouvelle technique de décomposition QR Bloc de prétraitement est proposée pour un récepteur LTE dans un scénario limité à un seul utilisateur, interférence limitée, ainsi qu’un scénario point par point dont les résultats surlignent les avantages et inconvénients en performance et complexité. La deuxième partie de cette étude comprend une étude de faisabilité d’une stratégie de message novatrice à deux phases et trois parties pour un réseau relai semi-duplex à couche physique, qui comporte un codage de superposition et un décodage d’annulation d’interférence successif, conscient des interférences. Un point clé de cette étude était d’analyser la performance du schéma d’adaptation des liaisons proposées dans le régime non asymptotique et d’évaluer l’efficacité spectrale (ES) par rapport aux hypothèses théoriques des blocs d’asymptotiquement grandes longueurs. Une comparaison ES supplémentaire est également présentée, avec une transmission de relais à deux étapes non coopérative et une stratégie de transmission point à point. Les résultats obtenus révèlent les gains d'ES qui peuvent être obtenus en exploitant la coopération de couche physique entre le relais et la station de base
The evolution of wireless communication networks has always been rapidly progressive partly due to the demands of today’s data hungry users. This dissertation presents two key contributions to the body of knowledge in the evolving area of physical layer 4G+/5G communication technologies, especially in the domain of Higher-order MIMO detection and half-duplex relay network design. The initial part of this research investigates the development of a higher-order MIMO detection strategy for existing and future 4G+/5G receivers, from both a theoretical and practical perspective. A novel pre-processing Block QR decomposition technique has been proposed for an LTE receiver in a single-user interference-limited scenario as well as a point-to-point scenario with the results highlighting the complexity advantages and limitations in performance. The second part of this study involves a practical feasibility study of a novel two-phase three-part-message strategy for a physical layer half-duplex relay network, which features superposition coding and interference-aware successive interference cancellation decoding. A key aim of this study was to analyze the performance of the proposed link adaptation scheme in the non-asymptotic regime (finite block-length and discrete constellation signaling), and evaluate the spectral efficiency (SE) against the theoretical assumptions of asymptotically large block-lengths. An additional SE comparison with a non-cooperative two-hop relay transmission and point-to-point transmission strategy is also presented. The resulting outcomes reveal the SE gains that can be had by exploiting physical layer cooperation between the relay and base station
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Conference papers on the topic "Higher-order MIMO detection"

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Yokota, Yuji, and Hiroshi Ochi. "An averaged-LLR Group Detection for higher order MIMO MLD." In 2014 14th International Symposium on Communications and Information Technologies (ISCIT). IEEE, 2014. http://dx.doi.org/10.1109/iscit.2014.7011861.

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Yokota, Yuji, and Hiroshi Ochi. "An averaged-LLR group detection for higher order MIMO system." In 2014 IEEE 25th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC). IEEE, 2014. http://dx.doi.org/10.1109/pimrc.2014.7136534.

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Som, Pritam, and A. Chockalingam. "Multiuser detection in large-dimension multicode MIMO-CDMA systems with higher-order modulation." In MILCOM 2011 - 2011 IEEE Military Communications Conference. IEEE, 2011. http://dx.doi.org/10.1109/milcom.2011.6127695.

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Takahashi, Takumi, Shinsuke Ibi, and Seiichi Sampei. "Design of adaptively scaled belief in large MIMO detection for higher-order modulation." In 2017 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA ASC). IEEE, 2017. http://dx.doi.org/10.1109/apsipa.2017.8282325.

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Elghariani, Ali, and Michael Zoltowski. "Branch and Bound with M algorithm for near optimal MIMO detection with higher order QAM constellation." In MILCOM 2012 - 2012 IEEE Military Communications Conference. IEEE, 2012. http://dx.doi.org/10.1109/milcom.2012.6415856.

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Ran, Rong, Gyu-Jeong Park, Song-Nam Hong, Seong Keun Oh, and Jiaheng Wang. "Generalized Sparse-Aware Minimum Mean Square Error Detector for Large-Scale MU-MIMO Systems with Higher-Order QAM Modulation Schemes." In 2018 IEEE International Conference on Communications (ICC 2018). IEEE, 2018. http://dx.doi.org/10.1109/icc.2018.8423048.

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Journal articles
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