A.N. Bespalov – Post-graduate Student,
Volga State University of Telecommunications and Informatics (Samara)
E-mail: andreybespalov@mail.ru
V.G. Kartashevsky – Dr.Sc.(Eng.), Professor, Head of Department «Information Security»,
Volga State University of Telecommunications and Informatics (Samara)
E-mail: kartashevskiy-vg@psuti.ru
O.S. Konyaeva – Ph.D.(Eng.), Associate Professor, Department «Software and Management in Technical Systems», Volga State University of Telecommunications and Informatics (Samara)
E-mail: konyaeva2012@gmail.com
K.V. Kotkov – Director for Development,
JSC «SIB RS» (Samara)
E-mail: kkv@siprs.ru
This article presents the results of computer simulation of the operation of suboptimal algorithms for receiving discrete messages Zero Forcing (ZF), Minimum Mean Square Error (MMSE) and the algorithm «reception a whole with elementwise decision» (RWED) making in channel with memory for MIMO systems for configurations: 2×2, 3×3, 4×4. Evaluation of noise immunity has shown that the algorithm «reception in general» with the decision-by-element decision provides the best results for all types of MIMO system configurations. At the beginning of the article, perspective directions for the development of wireless communications are considered. The mathematical model of the channel with memory is described.
The traffic of multimedia data transmitted over global mobile communication networks is growing rapidly. It is expected that by 2022 the total mobile data traffic will increase to 77 exabytes per month, which is seven times more than in 2017. All this further exacerbates the problem of a lack of radio spectrum for wireless communication systems. Thus, modern communication systems will be forced to resort to the use of systems with multiple input and multiple output (Multiple Input Multiple Output - MIMO). In this article, the mathematical model of the channel is selected channel memory. The channel matrix is the banded Toeplitz matrix, where each block is a matrix containing samples of the impulse response between all pairs of transmitting and receiving antennas at each time count.
The article deals with the problem of receiving discrete messages in channels with memory using MIMO technology for ZF, MMSE algorithms and the algorithm «reception a whole with elementwise decision» (RWED). The study of noise immunity and efficiency of reception algorithms was carried out for various configurations of the MIMO system: 2×2, 3×3, 4×4. Statistical modeling was performed using the MATLAB math package. Evaluation of noise immunity has shown that the RWED algorithm provides the best results for all types of MIMO system configurations. The approach associated with the implementation of «reception a whole» when using MIMO technology in memory channels can significantly improve the noise immunity characteristics of receiving discrete messages.
- Shaoshi Yang, Lajos Hanzo. Fifty Years of MIMO Detection: The Road to Large-Scale MIMOs. IEEE Communications Surveys & Tutorials (Fourthquarter). 2015. V. 17. № 4. P. 1941−1988.
- Cisco Visual Networking Index: Global Mobile Data Traffic Forecast Update, 2017−2022. White Paper Cisco public. February 2019. URL = https://www.cisco.com/c/en/us /solutions/collateral/service-provider/visual-networking-index-vni/white-paper-c11-738429.pdf.
- Kartashevskii V.G., Konyaeva O.S., Semenov E.S. Analiz kharakteristik algoritmov V-BLAST i suboptimalnogo ML v sisteme MIMO. Radiotekhnika. 2017. № 1. S. 131−136.
- Kartashevskii V.G., Konyaeva O.S., Semenov E.S. Priem «v tselom» dlya sistemy MIMO v kanale s pamyatyu. Uspekhi sovremennoi radioelektroniki. 2015. № 11. S. 49−53.
- Kartashevski V.G., Konyaeva O.S. Issledovanie algoritmov filtratsii priema diskretnykh soobshchenii pri ispolzovanii tekhnologii MIMO v kanalakh s pamyatyu. Fizika volnovykh protsessov i radiotekhnicheskie sistemy. 2015. T. 18. № 1. S. 18−22.
- Mehana A.H., & Nosratinia A. Performance of Linear Receivers in Frequency-Selective MIMO Channels. IEEE Transactions on Wireless Communications. 12(6). P. 2697−2705.
- Kartashevskii V.G. Obrabotka prostranstvenno-vremennykh signalov v kanalakh s pamyatyu. M.: Radio i svyaz. 2000. 272 s.
- Kartashevskii V.G., Mishin D.V. Priem kodirovannykh signalov v kanalakh s pamyatyu. M.: Radio i svyaz. 2004. 239 s.
- Konyaeva O.S. Vychislitelnaya slozhnost algoritmov priema diskretnykh soobshchenii v kanalakh s pamyatyu dlya sistem MIMO. Sb. materialov IV Mezhdunar. nauchno–prakticheskoi ochno–zaochnoi konf. «Problemy i perspektivy vnedreniya innovatsionnykh telekommunikatsionnykh tekhnologii». 2018. S. 81−83.