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Journal articles on the topic 'Generalised Spatial Modulation'

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Published: 6 September 2023
Last updated: 7 September 2023

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1

Cheng, Qian, and Jiang Zhu. "Generalised transmit–receive joint spatial modulation." Electronics Letters 53, no. 24 (November 2017): 1613–15. http://dx.doi.org/10.1049/el.2017.2738.

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2

Zhang, Rong, Lie-Liang Yang, and Lajos Hanzo. "Generalised Pre-Coding Aided Spatial Modulation." IEEE Transactions on Wireless Communications 12, no. 11 (November 2013): 5434–43. http://dx.doi.org/10.1109/twc.2013.100213.130848.

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3

Younis, A., S. Sinanovic, M. Di Renzo, R. Mesleh, and H. Haas. "Generalised Sphere Decoding for Spatial Modulation." IEEE Transactions on Communications 61, no. 7 (July 2013): 2805–15. http://dx.doi.org/10.1109/tcomm.2013.061013.120547.

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4

Kadathlal, Kavish, HongJun Xu, and Narushan Pillay. "Generalised differential scheme for spatial modulation systems." IET Communications 11, no. 13 (September 7, 2017): 2020–26. http://dx.doi.org/10.1049/iet-com.2017.0342.

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5

Hussein, H. S., H. Esmaiel, and D. Jiang. "Fully generalised spatial modulation technique for underwater communication." Electronics Letters 54, no. 14 (July 2018): 907–9. http://dx.doi.org/10.1049/el.2018.0948.

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6

Neelakandan, R. "Sub‐optimal low‐complexity detector for generalised quadrature spatial modulation." Electronics Letters 54, no. 15 (July 2018): 941–43. http://dx.doi.org/10.1049/el.2018.1011.

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7

Pillay, Reggie, Narushan Pillay, and Hongjun Xu. "Improved error performance for generalised spatial modulation with enhanced spectral efficiency." International Journal of Communication Systems 33, no. 2 (October 23, 2019): e4176. http://dx.doi.org/10.1002/dac.4176.

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8

Khalid, Ahmad, Tahmid Quazi, Hongjun Xu, and Sulaiman Saleem Patel. "Performance analysis of M -APSK generalised spatial modulation with constellation reassignment." International Journal of Communication Systems 33, no. 14 (July 6, 2020): e4497. http://dx.doi.org/10.1002/dac.4497.

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9

Zhang, Rong, Lie-Liang Yang, and Lajos Hanzo. "Error Probability and Capacity Analysis of Generalised Pre-Coding Aided Spatial Modulation." IEEE Transactions on Wireless Communications 14, no. 1 (January 2015): 364–75. http://dx.doi.org/10.1109/twc.2014.2347297.

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10

Hussein, Hany S. "Optical polar based MIMO-OFDM with fully generalised index-spatial LED modulation." IET Communications 14, no. 2 (January 17, 2020): 282–89. http://dx.doi.org/10.1049/iet-com.2019.0379.

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11

Sundru, Anuradha, and Kiran Gunde. "On the performance of modified generalised quadrature spatial modulation under correlated Weibull fading." International Journal of Intelligent Engineering Informatics 10, no. 3 (2022): 183. http://dx.doi.org/10.1504/ijiei.2022.10053597.

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12

Gunde, Kiran, and Anuradha Sundru. "On the performance of modified generalised quadrature spatial modulation under correlated Weibull fading." International Journal of Intelligent Engineering Informatics 10, no. 3 (2022): 183. http://dx.doi.org/10.1504/ijiei.2022.128445.

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13

Wang, Jintao, Shuyun Jia, and Jian Song. "Generalised Spatial Modulation System with Multiple Active Transmit Antennas and Low Complexity Detection Scheme." IEEE Transactions on Wireless Communications 11, no. 4 (April 2012): 1605–15. http://dx.doi.org/10.1109/twc.2012.030512.111635.

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14

An, Jiancheng, Chao Xu, Yusha Liu, Lu Gan, and Lajos Hanzo. "Low-Complexity Improved-Rate Generalised Spatial Modulation: Bit-to-Symbol Mapping, Detection and Performance Analysis." IEEE Transactions on Vehicular Technology 71, no. 1 (January 2022): 1060–65. http://dx.doi.org/10.1109/tvt.2021.3129843.

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15

Crowley, P. J. D., C. R. Laumann, and A. Chandran. "Critical behaviour of the quasi-periodic quantum Ising chain." Journal of Statistical Mechanics: Theory and Experiment 2022, no. 8 (August 1, 2022): 083102. http://dx.doi.org/10.1088/1742-5468/ac815d.

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Abstract The interplay of correlated spatial modulation and symmetry breaking leads to quantum critical phenomena intermediate between those of the clean and randomly disordered cases. By performing a detailed analytic and numerical case study of the quasi-periodically (QP) modulated transverse field Ising chain, we provide evidence for the conjectures of reference (Crowley et al 2018 Phys. Rev. Lett. 120 175702) regarding the QP-Ising universality class. In the generic case, we confirm that the logarithmic wandering coefficient w governs both the macroscopic critical exponents and the energy-dependent localisation length of the critical excitations. However, for special values of the phase difference Δ between the exchange and transverse field couplings, the QP-Ising transition has different properties. For Δ = 0, a generalised Aubry–André duality prevents the finite energy excitations from localising despite the presence of logarithmic wandering. For Δ such that the fields and couplings are related by a lattice shift, the wandering coefficient w vanishes. Nonetheless, the presence of small couplings leads to non-trivial exponents and localised excitations. Our results add to the rich menagerie of quantum Ising transitions in the presence of spatial modulation.
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16

Petro, Lucy S., Fraser W. Smith, Clement Abbatecola, and Lars Muckli. "The Spatial Precision of Contextual Feedback Signals in Human V1." Biology 12, no. 7 (July 20, 2023): 1022. http://dx.doi.org/10.3390/biology12071022.

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Neurons in the primary visual cortex (V1) receive sensory inputs that describe small, local regions of the visual scene and cortical feedback inputs from higher visual areas processing the global scene context. Investigating the spatial precision of this visual contextual modulation will contribute to our understanding of the functional role of cortical feedback inputs in perceptual computations. We used human functional magnetic resonance imaging (fMRI) to test the spatial precision of contextual feedback inputs to V1 during natural scene processing. We measured brain activity patterns in the stimulated regions of V1 and in regions that we blocked from direct feedforward input, receiving information only from non-feedforward (i.e., feedback and lateral) inputs. We measured the spatial precision of contextual feedback signals by generalising brain activity patterns across parametrically spatially displaced versions of identical images using an MVPA cross-classification approach. We found that fMRI activity patterns in cortical feedback signals predicted our scene-specific features in V1 with a precision of approximately 4 degrees. The stimulated regions of V1 carried more precise scene information than non-stimulated regions; however, these regions also contained information patterns that generalised up to 4 degrees. This result shows that contextual signals relating to the global scene are similarly fed back to V1 when feedforward inputs are either present or absent. Our results are in line with contextual feedback signals from extrastriate areas to V1, describing global scene information and contributing to perceptual computations such as the hierarchical representation of feature boundaries within natural scenes.
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17

Zhao Li, 赵黎, 王昊 Wang Hao, and 张峰 Zhang Feng. "基于光广义空间调制的VLC-MIMO系统研究." Chinese Journal of Lasers 49, no. 23 (2022): 2306001. http://dx.doi.org/10.3788/cjl202249.2306001.

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18

JAMES, GUILLAUME. "NONLINEAR WAVES IN NEWTON'S CRADLE AND THE DISCRETE p-SCHRÖDINGER EQUATION." Mathematical Models and Methods in Applied Sciences 21, no. 11 (November 2011): 2335–77. http://dx.doi.org/10.1142/s0218202511005763.

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We study nonlinear waves in Newton's cradle, a classical mechanical system consisting of a chain of beads attached to linear pendula and interacting nonlinearly via Hertz's contact forces. We formally derive a spatially discrete modulation equation, for small amplitude nonlinear waves consisting of slow modulations of time-periodic linear oscillations. The fully nonlinear and unilateral interactions between beads yield a nonstandard modulation equation that we call the discrete p-Schrödinger (DpS) equation. It consists of a spatial discretization of a generalized Schrödinger equation with p-Laplacian, with fractional p > 2 depending on the exponent of Hertz's contact force. We show that the DpS equation admits explicit periodic traveling wave solutions, and numerically find a plethora of standing wave solutions given by the orbits of a discrete map, in particular spatially localized breather solutions. Using a modified Lyapunov–Schmidt technique, we prove the existence of exact periodic traveling waves in the chain of beads, close to the small amplitude modulated waves given by the DpS equation. Using numerical simulations, we show that the DpS equation captures several other important features of the dynamics in the weakly nonlinear regime, namely modulational instabilities, the existence of static and traveling breathers, and repulsive or attractive interactions of these localized structures.
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19

Guo, Shuaishuai, Haixia Zhang, Peng Zhang, Shuping Dang, Cong Liang, and Mohamed-Slim Alouini. "Signal Shaping for Generalized Spatial Modulation and Generalized Quadrature Spatial Modulation." IEEE Transactions on Wireless Communications 18, no. 8 (August 2019): 4047–59. http://dx.doi.org/10.1109/twc.2019.2920822.

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20

Zhan, Yiju, and Fuchun Huang. "Generalized Spatial Modulation With Multi-Index Modulation." IEEE Communications Letters 24, no. 3 (March 2020): 585–88. http://dx.doi.org/10.1109/lcomm.2019.2963183.

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21

Mohaisen, Manar. "Generalized Complex Quadrature Spatial Modulation." Wireless Communications and Mobile Computing 2019 (April 28, 2019): 1–12. http://dx.doi.org/10.1155/2019/3137927.

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Spatial modulation (SM) is a multiple-input multiple-output (MIMO) system that achieves a MIMO high spectral efficiency while maintaining the transmitter computational complexity and requirements as low as those of the single-input systems. The complex quadrature spatial modulation (CQSM) builds on the QSM scheme and improves the spectral efficiency by transmitting two signal symbols at each channel use. In this paper, we propose two generalizations of CQSM, namely, generalized CQSM with unique combinations (GCQSM-UC) and with permuted combinations (GCQSM-PC). These two generalizations perform close to CQSM or outperform it, depending on the system parameters. Also, the proposed schemes require much less transmit antennas to achieve the same spectral efficiency of CQSM, for instance, assuming 16-QAM, GCQSM-PC, and GCQSM-UC require 10 and 15 transmit antennas, respectively, to achieve the same spectral of CQSM which is equipped with 32 antennas.
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22

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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23

Jose, Deepak, and S. M. Sameer. "Differential Transmission Schemes for Generalized Spatial Modulation." IEEE Transactions on Vehicular Technology 70, no. 12 (December 2021): 12640–50. http://dx.doi.org/10.1109/tvt.2021.3118457.

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24

Shang, Yulong, Hojun Kim, and Taejin Jung. "Generalized Quaternary Quasi-Orthogonal Sequences Spatial Modulation." Journal of Korean Institute of Communications and Information Sciences 41, no. 4 (April 30, 2016): 404–14. http://dx.doi.org/10.7840/kics.2016.41.4.404.

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25

Singla, Lakshit, and Lakshmi Prasad Natarajan. "Improving Generalized Spatial Modulation Using Translation Patterns." IEEE Communications Letters 24, no. 12 (December 2020): 2814–18. http://dx.doi.org/10.1109/lcomm.2020.3017345.

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26

Celik, Yasin, and Sultan Aldırmaz-Çolak. "Generalized quadrature spatial modulation techniques for VLC." Optics Communications 471 (September 2020): 125905. http://dx.doi.org/10.1016/j.optcom.2020.125905.

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27

Pillay, Narushan, and Hongjun Xu. "Improved generalized spatial modulation via antenna selection." International Journal of Communication Systems 30, no. 10 (November 18, 2016): e3236. http://dx.doi.org/10.1002/dac.3236.

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28

Oladoyinbo, Segun, Narushan Pillay, and Hongjun Xu. "Media-based single-symbol generalized spatial modulation." International Journal of Communication Systems 32, no. 6 (February 10, 2019): e3909. http://dx.doi.org/10.1002/dac.3909.

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29

Wen, Jinming, Jie Li, Huanmin Ge, Zhengchun Zhou, and Weiqi Luo. "Orthogonal Least Squares Detector for Generalized Spatial Modulation." IEEE Transactions on Wireless Communications 20, no. 8 (August 2021): 5071–82. http://dx.doi.org/10.1109/twc.2021.3065383.

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30

Castillo-Soria, Francisco Rubén, Joaquín Cortez-González, Raymundo Ramirez-Gutierrez, Fermín Marcelo Maciel-Barboza, and Leonel Soriano-Equigua. "Generalized Quadrature Spatial Modulation Scheme Using Antenna Grouping." ETRI Journal 39, no. 5 (October 2017): 707–17. http://dx.doi.org/10.4218/etrij.17.0117.0162.

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31

Helmy, Ahmed G., Marco Di Renzo, and Naofal Al-Dhahir. "Enhanced-Reliability Cyclic Generalized Spatial-and-Temporal Modulation." IEEE Communications Letters 20, no. 12 (December 2016): 2374–77. http://dx.doi.org/10.1109/lcomm.2016.2603990.

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32

Cheng, Peng, Zhuo Chen, J. Andrew Zhang, Yonghui Li, and Branka Vucetic. "A Unified Precoding Scheme for Generalized Spatial Modulation." IEEE Transactions on Communications 66, no. 6 (June 2018): 2502–14. http://dx.doi.org/10.1109/tcomm.2018.2796605.

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33

Xiao, Yue, Zongfei Yang, Lilin Dan, Ping Yang, Lu Yin, and Wei Xiang. "Low-Complexity Signal Detection for Generalized Spatial Modulation." IEEE Communications Letters 18, no. 3 (March 2014): 403–6. http://dx.doi.org/10.1109/lcomm.2013.123113.132586.

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34

Wang, Yi, and Rui Zhou. "Performance Study of Generalized Space Time Block Coded Enhanced Fully Optical Generalized Spatial Modulation System Based on Málaga Distribution Model." Photonics 10, no. 3 (March 8, 2023): 285. http://dx.doi.org/10.3390/photonics10030285.

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This paper proposes a generalized space time block coded (GSTBC) enhanced fully optical generalized spatial modulation (EFOGSM) system based on Málaga (M) turbulent channel. GSTBC-EFOGSM adopts the hybrid concept of generalized space time block coded and optical spatial modulation to further utilize the high transmission rate of EFOGSM and the diversity advantage of GSTBC in free space optical (FSO) communication systems. Considering the combined effects of path loss, pointing error and atmospheric turbulence, the Meijer G function is used to derive the closed-form expression for the average bit error rate (ABER) of GSTBC-EFOGSM. Then, the ABER performance, data transmission rate, energy efficiency and computational complexity at the receiver of GSTBC-EFOGSM are compared with other optical spatial modulation schemes by simulation. In addition, the effects of key factors, such as data transmission rate, encoding ratio, number of photodetectors and modulation order, on the ABER performance of the system are also analyzed via simulation. Monte Carlo (MC) simulation is used to verify the correctness of the numerical simulation. The simulation results show that the GSTBC-EFOGSM system has better ABER performance and good performance gain.
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35

He, Longzhuang, Jintao Wang, and Jian Song. "Spatial Modulation for More Spatial Multiplexing: RF-Chain-Limited Generalized Spatial Modulation Aided MM-Wave MIMO With Hybrid Precoding." IEEE Transactions on Communications 66, no. 3 (March 2018): 986–98. http://dx.doi.org/10.1109/tcomm.2017.2773543.

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36

SHANG, Yulong, Hojun KIM, Hosung PARK, and Taejin JUNG. "Generalized Spatial Modulation Based on Quaternary Quasi-Orthogonal Sequences." IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E101.A, no. 3 (2018): 640–43. http://dx.doi.org/10.1587/transfun.e101.a.640.

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37

Wang Huiqin, 王惠琴, 杨顺信 Yang Shunxin, 张悦 Zhang Yue, and 包仲贤 Bao Zhongxian. "Fully Optical Generalized Spatial Modulation in Atmospheric Laser Communication." Acta Optica Sinica 40, no. 13 (2020): 1301001. http://dx.doi.org/10.3788/aos202040.1301001.

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38

Garcia-Molla, Victor M., M. Angeles Simarro, F. J. Martínez-Zaldívar, Murilo Boratto, Pedro Alonso, and Alberto Gonzalez. "Parallel signal detection for generalized spatial modulation MIMO systems." Journal of Supercomputing 78, no. 5 (November 5, 2021): 7059–77. http://dx.doi.org/10.1007/s11227-021-04163-y.

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AbstractGeneralized Spatial Modulation is a recently developed technique that is designed to enhance the efficiency of transmissions in MIMO Systems. However, the procedure for correctly retrieving the sent signal at the receiving end is quite demanding. Specifically, the computation of the maximum likelihood solution is computationally very expensive. In this paper, we propose a parallel method for the computation of the maximum likelihood solution using the parallel computing library OpenMP. The proposed parallel algorithm computes the maximum likelihood solution faster than the sequential version, and substantially reduces the worst-case computing times.
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39

Saad, Majed, Hussein Hijazi, Ali Chamas Al Ghouwayel, Faouzi Bader, and Jacques Palicot. "Low Complexity Quasi-Optimal Detector for Generalized Spatial Modulation." IEEE Communications Letters 25, no. 9 (September 2021): 3003–7. http://dx.doi.org/10.1109/lcomm.2021.3093525.

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40

Ángeles Simarro, M., Víctor M. García-Mollá, F. J. Martínez-Zaldívar, and Alberto Gonzalez. "Low-complexity soft ML detection for generalized spatial modulation." Signal Processing 196 (July 2022): 108509. http://dx.doi.org/10.1016/j.sigpro.2022.108509.

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41

Niu, Hong, Xia Lei, Yue Xiao, Donglin Liu, You Li, and Hongyan Zhang. "Power Minimization in Artificial Noise Aided Generalized Spatial Modulation." IEEE Communications Letters 24, no. 5 (May 2020): 961–65. http://dx.doi.org/10.1109/lcomm.2020.2974211.

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42

Lakshmi Narasimhan, T., and A. Chockalingam. "On the Capacity and Performance of Generalized Spatial Modulation." IEEE Communications Letters 20, no. 2 (February 2016): 252–55. http://dx.doi.org/10.1109/lcomm.2015.2497255.

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43

Wang, Chunyang, Peng Cheng, Zhuo Chen, Jian A. Zhang, Yue Xiao, and Lin Gui. "Near-ML Low-Complexity Detection for Generalized Spatial Modulation." IEEE Communications Letters 20, no. 3 (March 2016): 618–21. http://dx.doi.org/10.1109/lcomm.2016.2516542.

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44

Jiang, Xue-Qin, Miaowen Wen, Jun Li, and Wei Duan. "Distributed Generalized Spatial Modulation Based on Chinese Remainder Theorem." IEEE Communications Letters 21, no. 7 (July 2017): 1501–4. http://dx.doi.org/10.1109/lcomm.2017.2688368.

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45

Niu, Hong, Xia Lei, Yue Xiao, You Li, and Wei Xiang. "Performance Analysis and Optimization of Secure Generalized Spatial Modulation." IEEE Transactions on Communications 68, no. 7 (July 2020): 4451–60. http://dx.doi.org/10.1109/tcomm.2020.2983368.

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46

Lakshmi Narasimhan, T., P. Raviteja, and A. Chockalingam. "Generalized Spatial Modulation in Large-Scale Multiuser MIMO Systems." IEEE Transactions on Wireless Communications 14, no. 7 (July 2015): 3764–79. http://dx.doi.org/10.1109/twc.2015.2411651.

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47

Chen, Fatang, Fanchao Zha, and Hanyan Zhang. "Adaptive Generalized Spatial Modulation Algorithm Based on Joint Optimization." International Journal of Signal Processing, Image Processing and Pattern Recognition 10, no. 7 (July 31, 2017): 35–48. http://dx.doi.org/10.14257/ijsip.2017.10.7.04.

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48

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 (June 2019): 733–36. http://dx.doi.org/10.1109/lwc.2018.2889857.

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49

Cao, Yuwen, and Tomoaki Ohtsuki. "Orthogonality Structure Designs for Generalized Precoding Aided Spatial Modulation." IEEE Wireless Communications Letters 8, no. 5 (October 2019): 1406–9. http://dx.doi.org/10.1109/lwc.2019.2919571.

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50

Rajashekar, Rakshith, Lie-Liang Yang, K. V. S. Hari, and Lajos Hanzo. "Transmit Antenna Subset Selection in Generalized Spatial Modulation Systems." IEEE Transactions on Vehicular Technology 68, no. 2 (February 2019): 1979–83. http://dx.doi.org/10.1109/tvt.2018.2889024.

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