Academic literature on the topic 'Receive spatial modulation (RSM)'

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Journal articles on the topic "Receive spatial modulation (RSM)"

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Yang, Ping, Yue Xiao, and Xiao Ming. "Enhanced Receive Spatial Modulation Based on Power Allocation." IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING 13, no. 6 (2020): 1312–25. https://doi.org/10.1109/JSTSP.2019.2916608.

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Abstract—In this paper, we investigate the benefits of power allocation (PA) for multiple-input multiple-output (MIMO) receive spatial modulation (RSM) with both a total transmit power constraint (TTPC) and a per-antenna power constraint (PAPC). First, we derive optimal PA closed-form solutions that maximize the minimum distance dmin between the received signal points for (Nt °¡ 2)-elementRSMwith arbitrary phase-shift keying schemes (whereNt is the number of transmit antennas) subject to a TTPC. Based on the derived solutions and the error vector reduction (EVR) method, we propose a low-complexity iterative algorithm to identify PA parameters for high numbers of receive antennas (Nr ≥ 2). Specifically, the EVR-based PA (EVR-PA) algorithm resembles its traditional exhaustive-search-based counterpart, but only exploits the receive distances of a few dominant error vectors to iteratively optimize the PAmatrix. Then, a more strict yet practical PAPC is considered for PA in RSM-MIMO systems, and a welldesigned approximate convex optimization (ACO)-based iterative PA algorithm is proposed. Compared to EVR-PA, the ACO-based PA (ACO-PA) algorithm first formulates the PA problems with the PAPC in RSM into constrained quadratic program problems and then utilizes the powerful augmented Lagrangian multiplier to find their optimal solutions. Our simulation results show that the proposed EVR-PA- and ACO-PA-aided RSM schemes outperform the equal-power-allocated RSM- and PA-aided spatial multiplexing schemes.
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Cheng, Qian, and Jiang Zhu. "Generalised transmit–receive joint spatial modulation." Electronics Letters 53, no. 24 (2017): 1613–15. http://dx.doi.org/10.1049/el.2017.2738.

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Wang, Yanrui, Wenhui Xiong, Yue Xiao, Shu Fang, You Li, and Chen Zheng. "Offset Spatial Modulation With Multiple Receive Antennas." IEEE Access 8 (2020): 100542–50. http://dx.doi.org/10.1109/access.2020.2991587.

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Yang, Ping, Yue Xiao, Ming Xiao, Jing Zhu, Shaoqian Li, and Wei Xiang. "Enhanced Receive Spatial Modulation Based on Power Allocation." IEEE Journal of Selected Topics in Signal Processing 13, no. 6 (2019): 1312–25. http://dx.doi.org/10.1109/jstsp.2019.2916608.

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Sanila, K. S., and Neelakandan Rajamohan. "Enhanced Transmit-Receive Spatial Modulation for Massive MIMO Systems." IEEE Communications Letters 25, no. 7 (2021): 2300–2304. http://dx.doi.org/10.1109/lcomm.2021.3067881.

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Luo, Junshan, Shilian Wang, Fanggang Wang, and Wei Zhang. "Generalized Precoding-Aided Spatial Modulation via Receive Antenna Transition." IEEE Wireless Communications Letters 8, no. 3 (2019): 733–36. http://dx.doi.org/10.1109/lwc.2018.2889857.

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Raafat, Ahmed, Adrian Agustin, and Josep Vidal. "Downlink Multi-User Massive MIMO Transmission Using Receive Spatial Modulation." IEEE Transactions on Wireless Communications 19, no. 10 (2020): 6871–83. http://dx.doi.org/10.1109/twc.2020.3006565.

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Wen, Peibo, Xu He, Yue Xiao, Ping Yang, Rong Shi, and Ke Deng. "Efficient Receive Antenna Selection for Pre-Coding Aided Spatial Modulation." IEEE Communications Letters 22, no. 2 (2018): 416–19. http://dx.doi.org/10.1109/lcomm.2017.2732401.

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Maleki, Marjan, Kamal Mohamed-Pour, and Mojtaba Soltanalian. "Receive Spatial Modulation in Correlated Massive MIMO With Partial CSI." IEEE Transactions on Signal Processing 67, no. 5 (2019): 1237–50. http://dx.doi.org/10.1109/tsp.2018.2890063.

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Zhang, Lu, Mingyang Sun, Zeliang Ou, Chongjun Ouyang, and Hongwen Yang. "A Secure Receive Spatial Modulation Scheme Based on Random Precoding." IEEE Access 7 (2019): 122367–77. http://dx.doi.org/10.1109/access.2019.2937962.

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Dissertations / Theses on the topic "Receive spatial modulation (RSM)"

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Mokh, Ali. "Receive and Transmit Spatial Modulation Techniques for Low Complexity Devices." Thesis, Rennes, INSA, 2018. http://www.theses.fr/2018ISAR0020.

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L'Internet des objets est l'un des concepts clefs stimulant l'évolution des réseaux mobiles dans le but de leur donner de nouvelles fonctionnalités de communication et de gestion d'objets dits connectés. Comparativement aux terminaux mobiles standards, les usages associés à ces objets connectés sont en général caractérisés par des débits modestes et de faibles ressources en capacité de calcul et en énergie. Les techniques de modulation spatiale (SM) sont proposées comme une solution prometteuse pour assurer les débits des objets connectés tout en maîtrisant le critère de la consommation énergétique. L'objectif de cette thèse est d'étudier les performances de différents schémas de transmission basés sur le concept SM mis en oeuvre en transmission ou en réception. Nous avons notamment proposé un système global de communication en liaisons montante (SM en transmission) et descendante (SM en réception) entre une station de base et un objet, dans lequel l'essentiel de la complexité de calcul est concentré à la station de base. Par ce système, une liaison avec un objet peut être établie en limitant les traitements au sein de l'objet à di simples fonctions d'activation/désactivation d'antenne et de détection à seuil. Par ailleurs, nous avons proposé des schémas SM étendus grâce auxquels l'efficacité spectrale atteignable devient égale au nombre d'antennes au sein de l'objet. Les expressions analytiques de la probabilité d'erreur binaire ont été développées pour l'ensemble des systèmes étudiés en utilisant différentes méthodes de détection. L'impact de la connaissance imparfaite de l'état des canaux de propagation ainsi que l'effet des corrélations entre antennes ont également été incorporés dans l'étude des performances des schémas SM de réception. Dans une dernière partie, nous avons proposé d'adapter les schémas SM de réception dans un environnement de propagation en ondes millimétriques en utilisant une formation de faisceau hybride analogique/numérique au niveau de l'émetteur<br>Internet of Things is one of the keyword that represents the evolution in 5G that is able to connect the so-called Connected Devices (CD) to the network. These CDs are expected to require modest data rates and will be characterized by low resources in terms of both computation and energy consumption compared to other mobile multi-media devices. Spatial Modulation (SM) is proposed to be a promising solution to boost the data rate of the CD with a small ( or no) increase in energy consumption. Inspired by the advantages of SM, the objective of this thesis is to study the performance of different transmission scheme based on the SM concept at the transmitter and at tht receiver, for respectively an uplink and a downlink transmission between a BS and a CD. We proposed a global system where the higher computational complexity remains at the BS: The transmit SM is used for uplink, and the receive SM for downlink. It is shown that with SM, an ON­OFF keying for uplink and Single Tap detector for downlink could be sufficient for the transmission a the CD. Also, with Extended SM schemes, we increased the spectral efficiency of SM to be equal t&lt; the number of antennas of CD in both uplink and downlink transmission. A framework for the derivation of the Bit Error Probability (BEP) is developed for all schemes with different detection methods. Impact of imperfect CSIT transmission has been studied when linear precoding is implemented for the receive spatial modulation, as well as the effect of antenna correlations. Finally we proposed to adapte the spatial modulation at the receiver with the mmWave environment, using hybrid beamformina at the transmitter
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CHANG, SHI-YANG, and 張世揚. "BER Analysis and Precoder Designs for Receive Quadrature Spatial Modulation Systems." Thesis, 2018. http://ndltd.ncl.edu.tw/handle/wex9un.

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碩士<br>國立中正大學<br>通訊工程研究所<br>106<br>Receive Quadrature Spatial Modulation Systems (RQSM) which considers the amalgamation of Receive Spatial Modulation (RSM) and Quadrature Spatial Modulation (QSM) inherits most advantages of both RSM and QSM. More explicitly, in RQSM, the transmitted symbol is decomposed to real and imaginary parts. Because of the domain extension, the data rate of the system is increased compared with RSM. After preprocessing the transmitted signal at transmitter side, RQSM has lower complexity at receiver side compared with QSM. In the first part of this thesis, we use the union-bound approach to derive the analytical average bit error probability of our RQSM scheme under zero forcing cri- terion. In the second part, we propose a new precoder design, which is applicable to the RSM, GPSM and our RQSM schemes. Finally, we verify the proposed de- signs using computer simulation. Both the numerical and analytical results were provided.
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Conference papers on the topic "Receive spatial modulation (RSM)"

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Guo, Xinghao, Yin Xu, Hanjiang Hong, et al. "RIS-Aided Receive Generalized Spatial Modulation Design with Reflecting Modulation." In GLOBECOM 2024 - 2024 IEEE Global Communications Conference. IEEE, 2024. https://doi.org/10.1109/globecom52923.2024.10901232.

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Raafat, Ahmed, Adrian Agustin, and Josep Vidal. "Receive Spatial Modulation for Massive MIMO Systems." In 2017 IEEE Global Communications Conference (GLOBECOM 2017). IEEE, 2017. http://dx.doi.org/10.1109/glocom.2017.8254890.

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Dinan, Mohamad H., and Mark F. Flanagan. "RIS-Assisted Generalized Receive Quadrature Spatial Modulation." In GLOBECOM 2023 - 2023 IEEE Global Communications Conference. IEEE, 2023. http://dx.doi.org/10.1109/globecom54140.2023.10437077.

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Li, Cai-Yan, Xue-Qin Jiang, Miaowen Wen, Jun Li, Yuyang Peng, and Sijing Chen. "Space-Time Block Coded Generalized Receive Spatial Modulation." In 2019 IEEE 2nd International Conference on Electronics and Communication Engineering (ICECE). IEEE, 2019. http://dx.doi.org/10.1109/icece48499.2019.9058492.

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Kumari, Supriya, Seshan Srirangarajan, and Vimal Bhatia. "STAR-RIS Assisted NOMA with Receive Spatial Modulation." In 2023 IEEE 7th Conference on Information and Communication Technology (CICT). IEEE, 2023. http://dx.doi.org/10.1109/cict59886.2023.10455667.

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Stavridis, Athanasios, Sinan Sinanovic, Marco Di Renzo, and Harald Haas. "Transmit Precoding for Receive Spatial Modulation Using Imperfect Channel Knowledge." In 2012 IEEE Vehicular Technology Conference (VTC 2012-Spring). IEEE, 2012. http://dx.doi.org/10.1109/vetecs.2012.6240160.

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Neha N, Shriharsha Koila, Prashantha Kumar H, and U. Sripati. "Adaptive receive-antenna selection technique for Spatial Modulation MIMO systems." In 2015 IEEE International Advance Computing Conference (IACC). IEEE, 2015. http://dx.doi.org/10.1109/iadcc.2015.7154767.

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Chen, Chiao-En, and Ting-Wei Kuo. "MSE-Based Precoder Designs for Receive Quadrature Spatial Modulation Systems." In 2017 IEEE 85th Vehicular Technology Conference (VTC Spring). IEEE, 2017. http://dx.doi.org/10.1109/vtcspring.2017.8108309.

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Mokh, Ali, Maryline Helard, and Matthieu Crussiere. "Extended Receive Spatial Modulation MIMO Scheme for Higher Spectral Efficiency." In 2018 IEEE 87th Vehicular Technology Conference (VTC Spring). IEEE, 2018. http://dx.doi.org/10.1109/vtcspring.2018.8417598.

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Raafat, Ahmed, Adrian Agustin, and Josep Vidal. "MMSE Precoding for Receive Spatial Modulation in Large MIMO Systems." In 2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). IEEE, 2018. http://dx.doi.org/10.1109/spawc.2018.8445854.

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