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Научен доклад ID 2334 : 2023/1
ANALYSIS OF RECOVERY ERRORS OF QOFDM SIGNALS
Valerii Kozlovskyi, Liudmyla Klobukova,Volodymyr Lysechko,Galina Cherneva A statistical analysis of complex signals correlation properties formed on the basis of quasi-orthogonal access at subcarrier frequencies was carried out. A comparison of the influencing factors of the sampling frequency and the number of the decomposition series members was made using graphoanalytical methods. An analysis of the characteristics of the Gibbs pulsations appearance with different numbers of decomposition terms was carried out. The specified emissions are observed at all points of a jump-like change in signals and can be quite significant.
A graphical analysis of the expansion in a series with the specified criteria for compliance with the conditions of Kotelnikov”s theorem was carried out. He showed that choosing the highest possible sampling rate cannot be a key ment for orthogonality. It was found that it is d to observe the integer ratios between the sampling frequency and the width of the main and side lobes of the signal spectrum. The results of the study of the properties of such signals make it possible to optimize the process of selecting signal parameters. The consequence of this is the possibility of increasing the volume of signal ensembles with low interaction in the frequency domain. This makes it possible to increase the bandwidth of the cognitive radio network. quasiorthogonal frequency division of channels frequency collisions subcarrier frequency lag module Gibbs pulsationsquasiorthogonal frequency division of channels frequency collisions subcarrier frequency lag module Gibbs pulsationsValerii Kozlovskyi Liudmyla KlobukovaVolodymyr LysechkoGalina Cherneva BIBLIOGRAPHY [1] Kryszkiewicz P., Kliks A., Bogucka H. Small-scale spectrum aggregation and sharing. 2016. IEEE Journal on Selected Areas in Communications. Vol. 34(10). P. 239–241. [2] Stevenson C., Chouinard G., Zhongding Lei, Wendong Hu, Shellhammer S., Caldwell W. IEEE 802.22: The first cognitive radio wireless regional area network standard Communications Magazine, IEEE. 2009. Vol 47. Р. 130 – 138. [3] Benamrane F., Ben mamoun M., Benaini R. An east-west interface for distributed SDN control plane: implementation and evaluation. 2017. Computers & Electrical Engineering. Vol. 57. P. 240–250. [4] Pateromichelakis E., Samdanis K. A graph coloring based inter-slice resource management for 5G dynamic TDD RANs. 2018. In Proceedings of the 2018 IEEE International Conference on Communications (ICC 2018). P. 15–19. [5] Bogucka H., Kryszkiewicz P., Kliks A. Dynamic spectrum aggregation for future 5G communications. 2015. IEEE Communications Magazine. Vol. 53(5). P. 112–118. [6] Sverhunova Y.O., Lysechko V.P., Shtompel M.A., Kovtun I.M. Quasiorthogonal frequency access on subcarrier frequencies. Modern information systems. 2019. Vol 3. P. 129. [7] Bibi, N., Kleerekoper, A., Muhammad, N., & Cheetham, B. (2016). Equation-Method for correcting clipping errors in OFDM signals. SpringerPlus, 5(1). doi:10.1186/s40064-016-2413-0 [8] Liu Y. (Ed.) Tensors for Data Processing: Theory, Methods, and Applications, 1st Edition. - Academic Press, 2021. – 596 p. [9] Lowery, A. J. (2020). Spectrally efficient optical orthogonal frequency division multiplexing. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 378(2169), 20190180. doi:10.1098/rsta.2019.0180 10.1098/rsta.2019.0180 [10] Sheikh J. A. Multicarrier Modulated Signal for Cognitive Radio with Low Peak-toAverage Power Ratio // Javaid A Sheikh, Mehboob ul Amin, Shabir A Parrah, G. Mohiuddin Bhat - International Journal of Applied Mathematics, Electronics and Computers, IJAMEC, 2016, 4(4), p. 113-120 [11] Orthogonal frequency division multiplexing with power distribution index modulation // A.T. Dogukan and E. Basar - ELECTRONICS LETTERS, 15th October 2020 Vol. 56 No. 21 pp. 1156–1159. |
