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Journal articles on the topic 'Quadrature Spatial Modulation'

Author: Grafiati

Published: 6 September 2023

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1

Mesleh, Raed, Salama S. Ikki, and Hadi M. Aggoune. "Quadrature Spatial Modulation." IEEE Transactions on Vehicular Technology 64, no. 6 (June 2015): 2738–42. http://dx.doi.org/10.1109/tvt.2014.2344036.

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2

Mohaisen, Manar, and Saetbyeol Lee. "Complex Quadrature Spatial Modulation." ETRI Journal 39, no. 4 (August 2017): 514–24. http://dx.doi.org/10.4218/etrij.17.0116.0933.

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3

Mesleh, Raed, Saud Althunibat, and Abdelhamid Younis. "Differential Quadrature Spatial Modulation." IEEE Transactions on Communications 65, no. 9 (September 2017): 3810–17. http://dx.doi.org/10.1109/tcomm.2017.2712720.

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4

Murtala, Sheriff, Nishal Muchena, Tasnim Holoubi, Manar Mohaisen, and Kang-Sun Choi. "Parallel Complex Quadrature Spatial Modulation." Applied Sciences 11, no. 1 (December 31, 2020): 330. http://dx.doi.org/10.3390/app11010330.

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In this paper, we propose a new multiple-input multiple-output (MIMO) transmission scheme, called parallel complex quadrature spatial modulation (PCQSM). The proposed technique is based on the complex quadrature spatial modulation (CQSM) to further increase the spectral efficiency of the communication system. CQSM transmits two different complex symbols at each channel use. In contrast with CQSM, the new transmission scheme splits the transmit antennas into groups, and modulates the two signal symbols using the conventional CQSM before transmission. Based on the selected modulation order and the number of possible groups that can be realized, the incoming bits modulate the two signal symbols and the indices of the transmit antennas in each group. We demonstrated that while the complexity and performance of the proposed scheme is the same as that of CQSM, the number of required transmit antennas is significantly reduced. The proposed PCQSM achieves such a benefit without requiring any additional radio frequency (RF) chains. The results obtained from Monte Carlo simulation showed that at a Bit Error Rate (BER) of 10−4, the performance of the PCQSM with two antenna groups closely matches that of CQSM, and outperformed quadrature spatial modulation (QSM) and parallel quadrature spatial modulation (PQSM) by over 0.7 dB. As the number of antenna groups increased to 4, the BER performance of PCQSM with reduced number of transmit antenna and modulation order matches that of QSM. The BER of the proposed scheme using maximum likelihood (ML) receiver is also analyzed theoretically and compared with the BER obtained via simulations.

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5

Celik, Yasin. "Fully Improved Quadrature Spatial Modulation." Arabian Journal for Science and Engineering 46, no. 10 (February 27, 2021): 9639–47. http://dx.doi.org/10.1007/s13369-020-05296-7.

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6

Wang, Lei, Zhigang Chen, Zhengwei Gong, and Ming Wu. "Diversity-Achieving Quadrature Spatial Modulation." IEEE Transactions on Vehicular Technology 66, no. 12 (December 2017): 10764–75. http://dx.doi.org/10.1109/tvt.2017.2731989.

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7

Yigit, Zehra, Ertugrul Basar, and Raed Mesleh. "Trellis coded quadrature spatial modulation." Physical Communication 29 (August 2018): 147–55. http://dx.doi.org/10.1016/j.phycom.2018.05.007.

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8

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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9

Zhao, Wen, Panmei Liu, and Fuchun Huang. "Constellation Design for Quadrature Spatial Modulation." IOP Conference Series: Earth and Environmental Science 252 (July 9, 2019): 052097. http://dx.doi.org/10.1088/1755-1315/252/5/052097.

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10

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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11

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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12

Abu-Hudrouss, Ammar M., M. T. O. El Astal, Alaa H. Al Habbash, and Sonia Aissa. "Signed Quadrature Spatial Modulation for MIMO Systems." IEEE Transactions on Vehicular Technology 69, no. 3 (March 2020): 2740–46. http://dx.doi.org/10.1109/tvt.2020.2964118.

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13

Yigit, Z., and E. Basar. "Low‐complexity detection of quadrature spatial modulation." Electronics Letters 52, no. 20 (September 2016): 1729–31. http://dx.doi.org/10.1049/el.2016.1583.

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14

Mthethwa, B. M., and H. Xu. "Adaptive M-ary quadrature amplitude spatial modulation." IET Communications 6, no. 18 (December 18, 2012): 3098–108. http://dx.doi.org/10.1049/iet-com.2012.0396.

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15

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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16

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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17

Huang, Zhijie, Zhenzhen Gao, and Li Sun. "Anti-Eavesdropping Scheme Based on Quadrature Spatial Modulation." IEEE Communications Letters 21, no. 3 (March 2017): 532–35. http://dx.doi.org/10.1109/lcomm.2016.2633422.

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18

Zukeran, Keisuke, Atsushi Okamoto, Masanori Takabayashi, Atsushi Shibukawa, Kunihiro Sato, and Akihisa Tomita. "Double-Referential Holography and Spatial Quadrature Amplitude Modulation." Japanese Journal of Applied Physics 52, no. 9S2 (September 1, 2013): 09LD13. http://dx.doi.org/10.7567/jjap.52.09ld13.

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19

Castillo-Soria, Francisco Ruben, Ertugrul Basar, Joaquín Cortez, and Marco Cardenas-Juarez. "Quadrature spatial modulation based multiuser MIMO transmission system." IET Communications 14, no. 7 (April 22, 2020): 1147–54. http://dx.doi.org/10.1049/iet-com.2019.0573.

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20

Pillay, Narushan, and HongJun Xu. "Quadrature spatial media-based modulation with RF mirrors." IET Communications 11, no. 16 (November 9, 2017): 2440–48. http://dx.doi.org/10.1049/iet-com.2017.0269.

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21

Castillo-Soria, F. R., Joaquin Cortez, C. A. Gutiérrez, M. Luna-Rivera, and A. Garcia-Barrientos. "Extended quadrature spatial modulation for MIMO wireless communications." Physical Communication 32 (February 2019): 88–95. http://dx.doi.org/10.1016/j.phycom.2018.11.006.

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22

Holoubi, Tasnim, Sheriff Murtala, Nishal Muchena, and Manar Mohaisen. "On the performance of improved quadrature spatial modulation." ETRI Journal 42, no. 4 (May 3, 2020): 562–74. http://dx.doi.org/10.4218/etrij.2019-0431.

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23

Jiang, Yang, Yahui Wu, Xia Wu, Xia Chu, and Zonglin Xie. "Low-Complexity Signal Detection for Quadrature Spatial Modulation." International Journal of Future Generation Communication and Networking 10, no. 7 (July 31, 2017): 45–58. http://dx.doi.org/10.14257/ijfgcn.2017.10.7.04.

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24

Al-Nahhal, Ibrahim, Octavia A. Dobre, and Salama S. Ikki. "Quadrature Spatial Modulation Decoding Complexity: Study and Reduction." IEEE Wireless Communications Letters 6, no. 3 (June 2017): 378–81. http://dx.doi.org/10.1109/lwc.2017.2694420.

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25

Li, Jun, Xueqin Jiang, Yier Yan, Wenjun Yu, Sangseob Song, and Moon Ho Lee. "Low Complexity Detection for Quadrature Spatial Modulation Systems." Wireless Personal Communications 95, no. 4 (March 4, 2017): 4171–83. http://dx.doi.org/10.1007/s11277-017-4057-y.

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26

Naidu, Suvigya, Narushan Pillay, and Hongjun Xu. "Transmit Antenna Selection Schemes for Quadrature Spatial Modulation." Wireless Personal Communications 99, no. 1 (November 21, 2017): 299–317. http://dx.doi.org/10.1007/s11277-017-5060-z.

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27

Gudla, Vishnu Vardhan, and Vinoth Babu Kumaravelu. "Permutation index-quadrature spatial modulation: A spectral efficient spatial modulation for next generation networks." AEU - International Journal of Electronics and Communications 111 (November 2019): 152917. http://dx.doi.org/10.1016/j.aeue.2019.152917.

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28

Celik, Yasin, and Sultan Aldırmaz Çolak. "Quadrature spatial modulation sub-carrier intensity modulation (QSM-SIM) for VLC." Physical Communication 38 (February 2020): 100937. http://dx.doi.org/10.1016/j.phycom.2019.100937.

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29

Kumari, Prabha. "A Survey on Spatial Modulation and MIMO System for Emerging Wireless Communication." International Journal for Research in Applied Science and Engineering Technology 9, no. VI (June 30, 2021): 3059–62. http://dx.doi.org/10.22214/ijraset.2021.35590.

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In this paper we have studied about Spatial Modulation (SM) in MIMO system. Spatial modulation is a unique and newly proposed technique. Spatial modulation is a multiple input multiple output technique which provides higher throughput and gain as compared to Quadrature Amplitude Modulation. Spatial modulation is a technique which enhances the performance of MIMO system. Spatial modulation and MIMO technique are used to attracted research for its high energy and spectral efficiency because it is working on single RF chain. This paper has considered the advantages of spatial modulation and MIMO systems, using different technique to improve the bandwidth efficiency. Some of such MIMO systems applications are discussed wherein become a requirement for an emerging wireless communication system.

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30

Wang, Lei, and Zhigang Chen. "Enhanced Diversity-Achieving Quadrature Spatial Modulation With Fast Decodability." IEEE Transactions on Vehicular Technology 69, no. 6 (June 2020): 6165–77. http://dx.doi.org/10.1109/tvt.2020.2979825.

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31

Mesleh, Raed, and Abdelhamid Younis. "Capacity analysis for LOS millimeter–wave quadrature spatial modulation." Wireless Networks 24, no. 6 (January 18, 2017): 1905–14. http://dx.doi.org/10.1007/s11276-017-1444-y.

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32

Tijani, M. A., and A. A. Tijani. "Soft-output maximum-likelihood detector for quadrature spatial modulation." Nigerian Journal of Technological Development 15, no. 4 (April 30, 2019): 134. http://dx.doi.org/10.4314/njtd.v15i4.5.

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33

Younis, Abdelhamid, Raed Mesleh, and Harald Haas. "Quadrature Spatial Modulation Performance Over Nakagami- $m$ Fading Channels." IEEE Transactions on Vehicular Technology 65, no. 12 (December 2016): 10227–31. http://dx.doi.org/10.1109/tvt.2015.2478841.

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34

Aydin, Erdogan, Fatih Cogen, and Ertugrul Basar. "Code-Index Modulation Aided Quadrature Spatial Modulation for High-Rate MIMO Systems." IEEE Transactions on Vehicular Technology 68, no. 10 (October 2019): 10257–61. http://dx.doi.org/10.1109/tvt.2019.2928378.

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35

Kumari, Prabha. "Performance Analysis of Spectrally Efficient Adaptive Spatial Modulation in MIMO System by using QAM." International Journal for Research in Applied Science and Engineering Technology 9, no. 9 (September 30, 2021): 1128–32. http://dx.doi.org/10.22214/ijraset.2021.38144.

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Abstract: In this article, we proposed a multiple input multiple outputs (MIMO) technique such as spectrally efficient adaptive quadrature spatial modulation (SEAQSM) which is based on space modulation techniques (SMTs). SMTs are logarithmically proportional to transmitting antenna & this technique fulfills the requirement of high data rate in the MIMO system. The Spatial position of the transmitting antenna improves the performance of the MIMO system. In space modulation technique spectral efficiency is logarithmically proportional to transmit antenna, if we increase the antenna at the transmitter end then the bandwidth efficiency significantly improved. We have to improve the performance MIMO system, minimize the latency and low power consumption. The proposed technique performance is explored over Rayleigh fading channel for a particular MIMO. These techniques underestimate the transmit antennas with less RF chain. In this paper, we analyzed the performance of our proposed scheme with conventional SM and QSM by using MONTE CARLO Simulation in term of BER with distinct order of QAM symbol. SE acquired for varying SNR at a BER of 10−3are obtained for uncorrelated Rayleigh channel. Keywords: Spatial Modulation(SM), MIMO, Spectral efficiency, Energy efficiency, Quadrature Spatial Modulation (QAM), Maximum Likelihood (ML) detector.

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36

Mohaisen, Manar, Tasnim Holoubi, and Tamer Abuhmed. "Performance Analysis and Constellation Design for the Parallel Quadrature Spatial Modulation." Entropy 22, no. 8 (July 30, 2020): 841. http://dx.doi.org/10.3390/e22080841.

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Spatial modulation (SM) is a multiple-input multiple-output (MIMO) technique that achieves a MIMO capacity by conveying information through antenna indices, while keeping the transmitter as simple as that of a single-input system. Quadrature SM (QSM) expands the spatial dimension of the SM into in-phase and quadrature dimensions, which are used to transmit the real and imaginary parts of a signal symbol, respectively. A parallel QSM (PQSM) was recently proposed to achieve more gain in the spectral efficiency. In PQSM, transmit antennas are split into parallel groups, where QSM is performed independently in each group using the same signal symbol. In this paper, we analytically model the asymptotic pairwise error probability of the PQSM. Accordingly, the constellation design for the PQSM is formulated as an optimization problem of the sum of multivariate functions. We provide the proposed constellations for several values of constellation size, number of transmit antennas, and number of receive antennas. The simulation results show that the proposed constellation outperforms the phase-shift keying (PSK) constellation by more than 10 dB and outperforms the quadrature-amplitude modulation (QAM) schemes by approximately 5 dB for large constellations and number of transmit antennas.

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37

Xu, H. "Simple low-complexity detection schemes for M-ary quadrature amplitude modulation spatial modulation." IET Communications 6, no. 17 (November 27, 2012): 2840–47. http://dx.doi.org/10.1049/iet-com.2012.0211.

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38

Chen, Chen, Lin Zeng, Xin Zhong, Shu Fu, Min Liu, and Pengfei Du. "Deep Learning-Aided OFDM-Based Generalized Optical Quadrature Spatial Modulation." IEEE Photonics Journal 14, no. 1 (February 2022): 1–6. http://dx.doi.org/10.1109/jphot.2021.3129541.

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39

Sanila, K. S., and Neelakandan Rajamohan. "Structured Multiplexing of Quadrature Spatial Modulation and Compressive Sensing Detector." IEEE Communications Letters 24, no. 9 (September 2020): 2080–84. http://dx.doi.org/10.1109/lcomm.2020.2995155.

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40

Wang, Yong, Tao Zhang, Weiwei Yang, Jibin Guo, Yongxiang Liu, and Xiaohui Shang. "Secure Transmission for Differential Quadrature Spatial Modulation With Artificial Noise." IEEE Access 7 (2019): 7641–50. http://dx.doi.org/10.1109/access.2018.2889340.

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41

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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42

Xu, H. "Simplified maximum likelihood-based detection schemes for M-ary quadrature amplitude modulation spatial modulation." IET Communications 6, no. 11 (2012): 1356. http://dx.doi.org/10.1049/iet-com.2011.0063.

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43

Alsmadi, Malek M., Ayse Elif Canbilen, Najah Abu Ali, and Salama S. Ikki. "Effect of Generalized Improper Gaussian Noise and In-Phase/Quadrature-Phase Imbalance on Quadrature Spatial Modulation." IEEE Open Journal of Signal Processing 2 (2021): 295–308. http://dx.doi.org/10.1109/ojsp.2021.3078097.

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44

RAMANATHAN, Rajesh, Partha Sharathi MALLICK, and Thiruvengadam SUNDARAJAN JAYARAMAN. "Low Complexity Compressive Sensing Greedy Detection of Generalized Quadrature Spatial Modulation." IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences E101.A, no. 3 (2018): 632–35. http://dx.doi.org/10.1587/transfun.e101.a.632.

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45

S., Arunmozhi, and Nagarajan G. "Quadrature spatial modulation on full duplex and half duplex relaying network." Modelling, Measurement and Control A 91, no. 4 (December 30, 2018): 168–74. http://dx.doi.org/10.18280/mmc_a.910402.

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46

Afana, Ali, Raed Mesleh, Salama Ikki, and Ibrahem E. Atawi. "Performance of Quadrature Spatial Modulation in Amplify-and-Forward Cooperative Relaying." IEEE Communications Letters 20, no. 2 (February 2016): 240–43. http://dx.doi.org/10.1109/lcomm.2015.2509975.

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47

Xiao, Lixia, Ping Yang, Shiwen Fan, Shaoqian Li, Lijun Song, and Yue Xiao. "Low-Complexity Signal Detection for Large-Scale Quadrature Spatial Modulation Systems." IEEE Communications Letters 20, no. 11 (November 2016): 2173–76. http://dx.doi.org/10.1109/lcomm.2016.2602210.

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48

Badarneh, Osamah S., and Raed Mesleh. "A Comprehensive Framework for Quadrature Spatial Modulation in Generalized Fading Scenarios." IEEE Transactions on Communications 64, no. 7 (July 2016): 2961–70. http://dx.doi.org/10.1109/tcomm.2016.2571285.

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49

Xiao, Lixia, Pei Xiao, Yue Xiao, Harald Haas, Abdelrahim Mohamed, and Lajos Hanzo. "Compressive Sensing Assisted Generalized Quadrature Spatial Modulation for Massive MIMO Systems." IEEE Transactions on Communications 67, no. 7 (July 2019): 4795–810. http://dx.doi.org/10.1109/tcomm.2019.2909017.

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50

Younis, Abdelhamid, Nagla Abuzgaia, Raed Mesleh, and Harald Haas. "Quadrature Spatial Modulation for 5G Outdoor Millimeter–Wave Communications: Capacity Analysis." IEEE Transactions on Wireless Communications 16, no. 5 (May 2017): 2882–90. http://dx.doi.org/10.1109/twc.2017.2670545.

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