Information transmission systems based on multidimensional signals

DOI: 10.31673/2412-9070.2022.050310

Abstract

Modern approaches to the formation and processing of multidimensional signals are based on the use of amplitude-phase-difference modulation with a change in the start time of the integration interval and special coding methods.
The paper proposes methods for forming a multidimensional signal for mobile networks of the latest generations, which will increase the noise immunity by a factor of 2 compared to two-dimensional multi-position signals.
The increase in noise immunity is achieved by increasing the equivalent signal energy, which is determined by the distance in the geometric representation between the two nearest signal points and thus increasing the noise immunity of the demodulator.
The use of multidimensional signals makes it possible to bring the information transmission rate closer to the communication channel bandwidth, which is necessary for the provision of real-time services.
As is known from the theory of potential noise immunity, the reliability of the transmitted information is primarily determined by the equivalent energy of the signals.
The greater the energy of signals, defined as the distance between adjacent signal points, the higher the system’s noise immunity, ceteris paribus.
The paper proposes the formation of signal-code constructions that provide the properties of a multidimensional signal for low-quality channels with a small signal-to-noise ratio.

Keywords: multidimensional signals; noise immunity; signal points; signal-code constructions.

References
1. Толубко В. Б., Беркман Л. Н., Козелков С. В. Формування багатопозиційного сигналу технологій 5 G на базі фазорізницевої модуляції високих порядків // Зв’язок. 2017. №4. С. 3–7.
2. Фазорізницева модуляція високих порядків для забезпечення визначеної завадозахищеності каналів передавання інформації / В. Б. Толубко, Л. Н. Беркман, С. В. Козелков, Є. П. Гороховський // Телекомунікаційні та інформаційні технології. 2017. №1(54). С. 5–10.
3. New Paradigm of 5G Wireless Internet [J] / C.-L. I, S. Han, Z. Xu [et al.] // IEEE Journal on Selected Areas in Communications. Mar. 2016. 34(3). P. 474–482.
4. Wu J., Fan P. A Survey on High Mobility Wireless Communications: Challenges, Opportunities and Solutions // IEEE ACCESS. Mar. 2016. Vol. 4. Р. 450–476.
5. What will 5G Be? /J. G. Andrews [et al.] // IEEE Journal on Selected Areas in Communications. June. 2014. 32(6). Р. 1065–1082.
6. Aboutorab N., Hardjawana W., Vecetic B. A new iterative Doppler-assisted channel estimation joint with parallel ICI cancellation for high mobility MIMO-OFDM systems // IEEE Trans. Veh. Technol. May 2012. 61(4). Р. 1577–1589.
7. 5GNOW: Non-orthogonal, Asynchronous Waveforms for Future Mobile Applications / G. Wunder [et al.] // IEEE Communications Magazine. Feb. 2014. 52(2). Р. 97–105.
8. Power Adaptation in OFDM Systems Based on Velocity Variation under Rapidly Time-Varying Channels / Z. Dong, P. Fan, E. Panayirci, X. Lei // IEEE Commun. Lett. 2015. 19(4). Р. 689–692.
9. Гинзбург В. В. Багатовимірні сигнали для безперервного каналу. СПб, 1981. 90 с.
10. Рiзник В. В. Методи опрацювання багатовимiрних сигналiв у тороїдних системах координат // Visnyk NTUU KPI (Seriia – Radiotekhnika Radioaparatobuduvannia) 2019. № 77. Р. 5–12.