Academic literature on the topic 'M-QAM MODULATION'
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Journal articles on the topic "M-QAM MODULATION"
Ahmad, Husham Jawad. "Performance Evaluation and Simulation of M-Ary Quadrature Amplitude Modulation Schemes with VisSim/Comm Software." Cihan University-Erbil Scientific Journal 3, no. 2 (August 20, 2019): 58–63. http://dx.doi.org/10.24086/cuesj.v3n2y2019.pp58-63.
Full textAli, Ahmed K., and Ergun Erçelebi. "An M-QAM Signal Modulation Recognition Algorithm in AWGN Channel." Scientific Programming 2019 (May 12, 2019): 1–17. http://dx.doi.org/10.1155/2019/6752694.
Full textGiraudo, E. C., R. B. Filho, and R. R. Scarabucci. "On the {m-QAM}2 modulation." IEEE Communications Letters 5, no. 10 (October 2001): 426–28. http://dx.doi.org/10.1109/4234.957383.
Full textZekry, Abdelhalim, Christena Ghandour, Nazmi A. Mohammed, and S. El-Rabaie. "Hybrid modulation schemes for data transmission improvement of indoor visible light communication system." International Journal of Engineering & Technology 7, no. 4 (October 6, 2018): 2822. http://dx.doi.org/10.14419/ijet.v7i4.19423.
Full textQuilindo Méndez, Cristian David, Eduar Fernando Hoyos Zúñiga, and Gustavo Adolfo Gómez Agredo. "Efecto de la técnica de modulación M-QAM para una infraestructura de red convergente Radio sobre Fibra (RoF)." Ingeniería y Desarrollo 39, no. 1 (October 21, 2021): 66–85. http://dx.doi.org/10.14482/inde.39.1.621.3821.
Full textARYANTA, DWI, ARSYAD RAMADHAN DARLIS, and WIRDA SRI FARHANI. "Simulasi Sinkronisasi Carrier pada Modulasi Digital menggunakan Matlab." ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika 2, no. 2 (July 1, 2014): 100. http://dx.doi.org/10.26760/elkomika.v2i2.100.
Full textMaharani, Tamara, Muhammad Agus Zainuddin, and Sritrusta Sukaridhoto. "PENGUKURAN PSNR PADA TRANSMISI VIDEO DI KANAL TERAHERTZ MENGGUNAKAN QAM MODULATION." KLIK - KUMPULAN JURNAL ILMU KOMPUTER 7, no. 2 (June 28, 2020): 154. http://dx.doi.org/10.20527/klik.v7i2.319.
Full textMohammed, Ali Abdulwahhab, Li Yu, Manar Al-Kali, and Desheng Wang. "Analysis of Amplify-and-Forward Cooperative Networks with Nakagami-m fading Channels For MRC Diversity Combining." TELKOMNIKA Indonesian Journal of Electrical Engineering 16, no. 3 (December 1, 2015): 546. http://dx.doi.org/10.11591/tijee.v16i3.1646.
Full textYang, Li Ming, Jia Guo, Hong Wei Ding, Yong Wang, Hong Mei Li, and Han Bai Shao. "Simulation Implementation and Analysis of the Performance of M-QAM by Using MATLAB." Applied Mechanics and Materials 610 (August 2014): 933–38. http://dx.doi.org/10.4028/www.scientific.net/amm.610.933.
Full textWongroekdee, Sawitree, Kosin Chaiprathum, Virasit Imtawil, and Puripong Suthisopapan. "LDPC Coded 2m-ary QAM for Ultra High Speed Communications." Applied Mechanics and Materials 781 (August 2015): 45–48. http://dx.doi.org/10.4028/www.scientific.net/amm.781.45.
Full textDissertations / Theses on the topic "M-QAM MODULATION"
A, Sani Negar. "M-PSK and M-QAM Modulation/Demodulation of UWB Signal Using Six-Port Correlator." Thesis, Linköpings universitet, Fysik och elektroteknik, 2010. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-64413.
Full textFernandes, Diogo. "Low-cost implementation techniques for generic square and cross M-QAM constellations." Universidade Federal de Juiz de Fora, 2015. https://repositorio.ufjf.br/jspui/handle/ufjf/1555.
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Made available in DSpace on 2016-06-28T14:08:15Z (GMT). No. of bitstreams: 1 diogofernandes.pdf: 2723080 bytes, checksum: 27ac16e618618f1cb4c4dc6394956f80 (MD5) Previous issue date: 2015-08-31
CNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológico
Este trabalho tem como objetivo apresentar técnicas com complexidade computacional reduzida para implementação em hardware do modulador de amplitude em quadratura M-ária (M-ary quadrature amplitude modulation - M-QAM) de elevada ordem, que pode ser viável para sistemas banda larga. As técnicas propostas abrangem as constelações M-QAM quadradas e cruzadas (número par e ímpar de bits), a regra de decisão abrupta (hard decison rule), derivação de constelações M-QAM de baixa ordem das de elevada ordem. A análise de desempenho em termos de taxa de bits errados (bit error rate - BER) é realizada quando os símbolos M-QAM são corrompidos por ruído Gaussiano branco aditivo (additive white Gaussian noise - AWGN) e ruído Gaussiano impulsivo aditivo (additive impulsive Gaussian noise - AIGN). Os resultados de desempenho da taxa de bits errados mostram que a perda de desempenho das técnicas propostas é, em média, inferior a 1 dB, o que é um resultado surpreendente. Além disso, a implementação das técnicas propostas em arranjo de portas programáveis em campo (field programmable gate array - FPGA) é descrita e analisada. Os resultados obtidos com as implementações em dispositivo FPGA mostram que as técnicas propostas podem reduzir consideravelmente a utilização de recursos de hardware se comparadas com as técnicas presentes na literatura. Uma melhoria notável em termos de redução da utilização de recursos de hardware é conseguida através da utilização da técnica de modulação M-QAM genérica em comparação com a técnica de regra de decisão heurística (heuristic decision rule - HDR) aprimorada e uma técnica previamente concebida, a tà c cnica HDR. Com base nas análises apresentadas, a técnica HDR aprimorada é menos complexa do que a técnica HDR. Finalmente, os resultados numéricos mostram que a técnica de modulação M-QAM genérica pode ser oito vezes mais rápida do que as outras duas técnicas apresentadas, quando um grande número de símbolos M-QAM (p. ex., > 1000) são transmitidos consecutivamente.
This work aims at introducing techniques with reduced computational complexity for hardware implementation of high order M-ary quadrature amplitude modulation (MQAM) which may be feasible for broadband communication systems. The proposed techniques cover both square and cross M-QAM constellations (even and odd number of bits), hard decision rule, derivation of low-order M-QAM constellations from high order ones. Performance analyses, in terms of bit error rate (BER) is carried out when the M-QAM symbols are corrupted by either additive white Gaussian noise (AWGN) or additive impulsive Gaussian noise (AIGN). The bit error rate performance results show that the performance loss of the proposed techniques is, on average, less than 1 dB, which is a remarkable result. Additionally, the implementation of the proposed techniques in field programmable gate array (FPGA) device is described and outlined. The results based on FPGA show that the proposed techniques can considerably reduce hardware resource utilization. A remarkable improvement in terms of hardware resource utilization reduction is achieved by using the generic M-QAM technique in comparison with the enhanced heuristic decision rule (HDR) technique and a previously designed technique, the HDR technique. Based on the analyses performed, the enhanced HDR technique is less complex than the HDR technique. Finally, the numerical results show that the generic M-QAM technique can be eight times faster than the other two techniques when a large number of M-QAM symbols (e.g., > 1000) are consecutively transmitted.
Ceballos, Emmanuel Gonzales. "A Novel Adaptive Multilevel - Quadrature Amplitude Modulation (M-QAM) Receiver Using Machine Learning to Mitigate Multipath Fading Channel Effects." Thesis, California State University, Long Beach, 2018. http://pqdtopen.proquest.com/#viewpdf?dispub=10784157.
Full textThe demand for faster speed and greater signal strength of today’s wireless broadband technology evolved signaling techniques to improve spectral bandwidth efficiency. In wireless digital communications, higher-order of M-QAM technique has been employed to improve bandwidth and channel efficiency of the signaling. However, wireless broadband communications such as mobile phones and wireless access networks are prone to multipath fading channel. Higher-order M-QAM is very susceptible to this fading channel because it affects both the amplitude and carrier phase of the transmitted signal as it induces non-linearity.
In this study, an innovative approach in M-QAM demodulation technique has been proposed. This thesis investigated the performance of a proposed modified Costas Loop M-QAM receiver that employed Machine Learning using multi-layer perceptron (MLP) with error-back propagation (EBP) as an adaptive amplitude fading estimator and, using fuzzy logic as loop filter in the phase lock loop (PLL) circuit that estimated the distorted carrier phase of a received signal. A computer simulation of the proposed receiver was developed to investigate the performance of the receiver’s signal recovery over Rayleigh fading channel. The results showed that the ML algorithm tracked well the phase noise and the bit-error rate (BER) were comparable to the theoretical M-QAM curve on certain values of signal-to-noise (SNR) levels.
Abdurrhman, Ahmed B. M. "Error resilient video communications using high level M-QAM : modelling and simulation of a comparative analysis of a dual-priority M-QAM transmission system for H.264/AVC video applications over band-limited and error-phone channels." Thesis, University of Bradford, 2010. http://hdl.handle.net/10454/4913.
Full textAbdurrhman, Ahmed B. M. "Error relilient video communications using high level M-QAM. Modelling and simulation of a comparative analysis of a dual-priority M-QAM transmission system for H.264/AVC video applications over band-limited and error-phone channels." Thesis, University of Bradford, 2010. http://hdl.handle.net/10454/4913.
Full textForestier, Stéphane. "Gestion dynamique de la génération de puissance en hyperfréquence pour des modulations numériques : Applications à l'optimisation des performances d'un amplificateur millimétrique." Limoges, 2003. http://aurore.unilim.fr/theses/nxfile/default/0550ccba-ec85-4e00-a664-f090f687c9d2/blobholder:0/2003LIMO0019.pdf.
Full textJHA, MOHIT. "DESIGN OF WIRELESS COMMUNICATION SYSTEM ON SDR USING M-QAM MODULATION." Thesis, 2018. http://dspace.dtu.ac.in:8080/jspui/handle/repository/16530.
Full textBook chapters on the topic "M-QAM MODULATION"
Lee, Sang-Do, and Young-Chai Ko. "Hybrid M-QAM with Adaptive Modulation and Selection Combining in MIMO Systems." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, 91–100. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-642-11284-3_10.
Full textChandra, A., and C. Bose. "Error Probability for Coherent Modulations in Rician Fading Channel." In Networking and Telecommunications, 1741–52. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-60566-986-1.ch112.
Full textLi, Huiqiong, Ying Wei, and Changjian Zhu. "Convolutional Neural Network Analysis for Modulation Classification of Wireless Communication Signal." In Advances in Transdisciplinary Engineering. IOS Press, 2022. http://dx.doi.org/10.3233/atde221103.
Full textYou, Cheolwoo, and Daesik Hong. "Learning Algorithms for Complex-Valued Neural Networks in Communication Signal Processing and Adaptive Equalization as its Application." In Complex-Valued Neural Networks, 194–235. IGI Global, 2009. http://dx.doi.org/10.4018/978-1-60566-214-5.ch009.
Full textGupta, Yogendra, and Sandeep Saini. "Thermometer to Gray Encoders." In Advances in Computer and Electrical Engineering, 323–35. IGI Global, 2015. http://dx.doi.org/10.4018/978-1-4666-6627-6.ch013.
Full textAbualhaol, Ibrahim Y., and Mustafa M. Matalgah. "Resource Allocation for a Cooperative Broadband MIMO-OFDM System." In Cooperative Communications for Improved Wireless Network Transmission, 382–98. IGI Global, 2010. http://dx.doi.org/10.4018/978-1-60566-665-5.ch014.
Full textConference papers on the topic "M-QAM MODULATION"
Jia, Haowei, and Leila Musavian. "Performance Analysis for NOMA with M-QAM Modulation." In 2020 IEEE 91st Vehicular Technology Conference (VTC2020-Spring). IEEE, 2020. http://dx.doi.org/10.1109/vtc2020-spring48590.2020.9129150.
Full textGomes, Marco, Francisco Cercas, Vitor Silva, and Martin Tomlinson. "Efficient M-QAM Transmission Using Compacted Magnitude Modulation Tables." In IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference. IEEE, 2008. http://dx.doi.org/10.1109/glocom.2008.ecp.895.
Full textZhendong, Chou, Jiang Weining, Xiang Changbo, and Li Min. "Modulation recognition based on constellation diagram for M-QAM signals." In 2013 IEEE 11th International Conference on Electronic Measurement & Instruments (ICEMI). IEEE, 2013. http://dx.doi.org/10.1109/icemi.2013.6743041.
Full textKalantari, Ashkan, Christos Tsinos, Mojtaba Soltanalian, Symeon Chatzinotas, Wing-Kin Ma, and Bjorn Ottersten. "MIMO directional modulation M-QAM precoding for transceivers performance enhancement." In 2017 IEEE 18th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). IEEE, 2017. http://dx.doi.org/10.1109/spawc.2017.8227801.
Full textGaire, Sunil Kumar, and Saleh Faruque. "Performance analysis of orthogonal coded M-ary QAM modulation technique." In 2017 51st Annual Conference on Information Sciences and Systems (CISS). IEEE, 2017. http://dx.doi.org/10.1109/ciss.2017.7926152.
Full textQueiroz, Wamberto J. L., Waslon T. A. Lopes, Francisco Madeiro, and Marcelo S. Alencar. "Bit error probability of M-QAM and I × J-QAM modulation schemes in Nakagami fading." In International Microwave and Optoelectronics Confererence. IEEE, 2007. http://dx.doi.org/10.1109/imoc.2007.4404381.
Full textWang, Shiqiang, Qingyang Song, Lei Guo, and Abbas Jamalipour. "Constellation mapping for physical-layer network coding with M-QAM modulation." In GLOBECOM 2012 - 2012 IEEE Global Communications Conference. IEEE, 2012. http://dx.doi.org/10.1109/glocom.2012.6503815.
Full textSadinov, S. M. "Simulation study of M-ARY QAM modulation techniques using Matlab/Simulink." In 2017 40th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO). IEEE, 2017. http://dx.doi.org/10.23919/mipro.2017.7973486.
Full textYan, Xiao, Guoyu Zhang, Jie Luo, Hsiao-Chun Wu, Qian Wang, and Yiyan Wu. "Graph-based Automatic Modulation Classifier for M-ary Generalized QAM Signals." In 2019 3rd International Conference on Imaging, Signal Processing and Communication (ICISPC). IEEE, 2019. http://dx.doi.org/10.1109/icispc.2019.8935869.
Full textCai, Tian, Cheng Wang, Gaofeng Cui, and Weidong Wang. "Constellation-wavelet transform automatic modulation identifier for M-ary QAM signals." In 2015 IEEE 26th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC). IEEE, 2015. http://dx.doi.org/10.1109/pimrc.2015.7343297.
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