The 14th International Conference on Electronics, Communications and Networks (CECNet 2024)

Abstract: For the past years, the Internet of Things (IoT) supported by 5G technology has been expanding rapidly across wide range of services, enabling inter-object connectivity for automotive industry, consumer electronics, transportation, logistics sectors and manufacturing. With the increasing ubiquitous usage of various small-sized sensors, manufacturing cost of each element taken remains a critical aspect. Relatively low price of individual elements is the key for enabling tightly connected environment, but may severely affect the RF chains quality as well as overall performance. With 5G expansion to the sub-THz bands, power amplifier (PA) nonlinearity may significantly limit system performance even in high-grade devices, due to power amplifier design limitations. Multiple studies were done to mitigate nonlinearity impact, both at the transmitter (TX) and receiver (RX) sides. Many solutions propose for evaluation and further compensation of the PA nonlinearity effects, via decision directed feedback, training or even statistical processing of the received signal. However, with knowledge of the PA nonlinearity function at the receiver side, the processing may be simplified by the applying of the reverse function to the equivalent signal in the time domain.
In this work we propose a method for PA nonlinear distortion compensation at the RX side, which can be adjusted for several signal waveforms adopted in 5G NR (New Radio) standard, such as CP-OFDM, DFT-S-OFDM and others. Provided simulation results demonstrate performance improvement both for the sub-THz PA models and models for 30-70 GHz band.

Biography: Alexander Maltsev received the Doctor of Science degree, in Radiophysics, from the University of Nizhny Novgorod (UNN), Russia, in 1990. After that he held the position of a Full Professor (1990 to 1994) and from 1994 till present he is holding the position of Head of the Statistical Radiophysics and Mobile Communications department in the UNN. In April 2001 Prof. Maltsev joined Intel Corporation and created the Advance Development (AD) team in Intel Russia from his former PhD students. From April 2006 to June 2020 he was an Intel Principal Engineer managing AD team. In August 2020 he joined to LG Electronics as a consulting researcher.
Prof. Maltsev contributed to development of Wi-Fi (IEEE802.11n, 11ad), WiMAX (IEEE802.16e, 16m), WiGig and LTE standards, participated in FP6 MEMBRANE (Multi-Element Multihop Backhaul Reconfigurable Antenna Network) project (2006-2009), headed the Russian Evaluation Group in IMT-Advanced (4G) evaluation process in ITU (2010-2011), participated as a technical expert in joint EU-Japan research FP7 project MiWEBA (Millimeter-Wave Evolution for Backhaul and Access) in 2013-2016.
Prof. Maltsev is author of numerous papers in refereed journals and conferences proceedings and holds more than 150 US patents. His current research interests include optimal and adaptive statistical signal processing, channel modeling and positioning, hybrid beamforming algorithms and mmWave high-gain steerable antennas, modern MIMO-OFDM communication systems, including IEEE802.11ay, IEEE802.11be, IEEE802.11Sens and 5G NR.