The technical features of designing multi­channel systems of the fifth generation

DOI: 10.31673/2412-9070.2020.040311

Authors

  • О. М. Власов, (Vlasov O. M.) State University of Telecommunications, Kyiv
  • О. Л. Туровський, (Turovsʹkyy O. L.) State University of Telecommunications, Kyiv

DOI:

https://doi.org/10.31673/2412-9070.2020.040311

Abstract

At present, the standardization of mobile communication technologies to lay the foundations of wireless networks 5G, there is a general view of the need to replace the fundamental OFDM technology at the expense of more efficient, which can better operate in 5G conditions. For this purpose, a number of new forms of modulation have been introduced. It should be noted that at the same time, these methods have a basic principle of OFDM technology. The main idea of OFDM technology is to divide the frequency selective channel into a number of narrowband sub-channels. In these subchannels or subcarriers, orthogonal narrowband signals are transmitted in parallel. Since each of these signals undergoes shallow fading, then a fairly simple scalar correction of the channel. The main methods of promising technologies UF-OFDM, FBMC, and GFDM are described, which are logical continuation of OFDMmodulation development. In many ways, FBMC has much in common with CP-OFDM and OFDM, which use a cyclic prefix as a security signal. GFDM is a flexible multi-carrier transmission method, which is largely similar to OFDM. UF-OFDM uses filtering to provide its unique characteristics. An analysis of the prospects for the development of MIMO standards is presented. It is shown that the MU-MIMO specification is one of the most significant technological improvements to MIMO. The MU-MIMO specification is the evelopment of MIMO technology and an attempt to solve the problem of the growing amount of data transmitted over wireless networks. Thanks to it, the entire bandwidth of the network can be effectively used, and users will be able to exchange data at a speed of gigabytes per second. It has been established that the system of antenna chains from four to four and three users is the most productive and effective. The essence of the method of reducing the interval of monitoring the carrier frequency of the synchronization system of the domodulator, based on the use of sliding FFT, which can be proposed in the implementation of the above signal modulation technologies.

Keywords: UF-OFDM; FBMC; GFDM; MIMO; sliding FFT.

References
1. Mogensen P., Pajukoski K., Tiirola E. 5G small cell optimized radio design [Електронний ресурс]. URL: https://www.researchgate.net/publication/269304509_5G_small_cell_optimized_radio_design
2. Лайонс Р. Цифровая обработка сигналов: второе издание / пер. с англ. Москва: ООО «Бином-Пресс», 2006. 656 с.
3. Кестер У. Проектирование систем цифровой и смешанной обработки сигналов / под ред. Уолта Кестера, пер. с англ. Москва: Техносфера, 2010. 328 с.
4. Галкин В. А. Цифровая мобильная радиосвязь: учеб. пособие для вузов. Москва: Горячая линия-Телеком, 2007. 432 с.
5. Poole I. 5G technology tutorial includes [Електронний ресурс]. URL: http://www.radio-electronics.com
6. Chin W., Zhong F., Haines R. Emerging technologies and research challenges for 5G wireless networks // IEEE Wireless Communication. 2017. vol. 21, №2. Р. 106–112.
7. What will 5G be? / J. Andrews, S. Buzzi, W. Choi [et al.] // IEEE J. Select. Areas Communication. 2017. vol. 32, №6. Р. 1065–1082.
8. Sahin A., G'uvenc I., Arslan H. A survey on multi-carrier communications: Prototype filters, lattice structures, and implementation aspects // IEEE Commun. Surveys Tutorials. 2017. vol. 16, №3. Р. 1312 –1338.
9. Modulation formats and waveforms for 5G net-works: Who will be the heir of OFDM?: An overview of alternative modulation schemes for improved spectral efficiency / P. Banelli, S. Buzzi, G. Colavolpe [et al.] // IEEE Signal Process. Mag. 2017. vol. 31, №6. Р. 80–93.
10. Technical specification 36.212 [Електронний ресурс] // 3GPP. URL: http://www.etsi.org/deliver/etsi_ts/136200_136299/136212/ 12.02.00_60/ ts_136212v120200p.pdf
11. Matz G., Bolcskei H., Hlawatsch F. Time-Frequency Foundations of Communications // IEEE Signal Processing Mag. 2016. vol. 30. №6. Р. 87–96.
12. GFDM Interference Cancellation for Flexible Cognitive Radio PHY Design / R. Datta, N. Michailow, M. Lentmaier, G Fettweis // IEEE Vehicular Technology Conference. 2016. vol. 29, №4. Р. 50–58.
13. Generalized Frequency Division Multiplexing for 5th Generation Cellular Networks / N. Michailow, M. Matthe, I. Gaspar [et al.] // IEEE Transactions on Communications. 2017. vol. 62, №9. Р. 1102–1108.
14. Physical layer for dynamic spectrum access and cognitive radio [Електронний ресурс]. URL: http://www.ict-phydyas.org
15. Survey of Channel and Radio Propagation Models for Wireless MIMO Systems [Електронний ресурс] / P. Almers, E. Bonek, A. Burr [et al.] // EURASIP Journal on Wireless Communications and Networking. URL: http://publik.tuwien.ac.at/files/pub-et_13071.pdf
16. Maha Ben Zid. Recent Trends in Multi-user MIMO Communications [Електронний ресурс] // InTech, Chapters published. URL: http://www.intechopen.com/books/recent -trends-in-multi-user-mimo-communications
17. MU-MIMO-революция в Wi-Fi [Електронний ресурс]. URL: http://itbusiness.com.ua /hardnews/1315-mu-mimo-revolyutsiya-v-wi-fi.html
18. Difference between single user MIMO vs Multiuser MIMO [Електронний ресурс]. URL: http://www.rfwireless-world.com/Terminology/single-user-MIMO-vs-multiuser -MIMO.html
19. 802.11ac MU-MIMO: Bridging the MIMO Gap in Wi-Fi [Електронний ресурс] // Qualcomm Atheros IncURL: https://www.qualcomm.com/documents/80211ac-mu-mimo-bridging-mimo-gap-wi-fi
20. D'Amico A., Mengali U., Taponecco L. Cramer-Rao Bound for Clock Drift in UWB Ranging Systems // IEEE Wireless Communication Letters. 2013. №2(6). P. 591–594.
21. Туровський О. Л. Алгоритм оцінки несучої частоти фазомодульованого сигналу супутникової системи зв’язку при передачі даних в безперервному режимі з використанням функції швидкого перетворення Фур’є // Звя’зок. 2020. №2(144). С. 55–61.
22. Estimates of the carrier frequency of the signal received by the satellite communication system in package mode / O. Turovsky, O. Drobyk, A. Makarenko, O. Khokhlyuk // International J. of Advanced Trends in Computer Science and Engineering. 2020. Vol. 9, No 3. P. 3223–3228. URL: https://doi.org/10.30534/ijatcse/2020/115932020.
23. Varga L., Kollar Zs., Horvath P. Recursive Discrete Fourier Transform based SMT receivers for cognitive radio applications: 19th International Conference on Systems, Signals and Image Processing IWSSIP. Apr. 2012. Р. 130–133.
24. Serbes A. Fast and Efficient Sinusoidal Frequency Estimation by Using the DFT Coefficients // IEEE Transactions on Communications. March 2019. vol. 67, no. 3. Р. 2333–2342.

Published

2020-12-08

Issue

Section

Articles