arXiv subjects

Alexey Shapin

Publications and source records attributed to Alexey Shapin.

3 recordsLinked to original sources

arXiv2022

5G-SMART D1.5 Evaluation of radio network deployment options

This deliverable results from the work on the radio network performance analysis of the identified use cases and deployment options. Covered topics include latency reduction and mobility features of the 5G NR itself, as well as detailed analysis of the radio network KPIs, such as latency, reliability, throughput, spectral efficiency and capacity. Corresponding trade-offs for the identified deployment options and industrial use cases are quantified with an extensive set of technical results. Also, this deliverable is looking into co-channel coexistence performance analyzed through a real-life measurement campaign and considers performance optimization in presence of a special micro-exclusion zone within a factory.

cs.NI↗

arXiv2016

An Approach for Self-Adaptive Path Loss Modeling for Accurate Positioning in Underground Environments

This paper proposes a real-time self-adaptive approach for accurate path loss estimation in underground mines or tunnels based on signal strength measurements from heterogeneous radio communication technologies. The proposed model features simplicity of implementation. The methodology was validated in simulations as well as was verified by measurements taken in real environments. The proposed method leverages accuracy of positioning matching to the existing approaches while requiring smaller engineering efforts.

cs.NI↗

arXiv2015

Performance Peculiarities of Viterbi Decoder in Mathworks Simulink, GNU Radio and Other Systems with Likewise Implementation

The performance of convolutional codes decoding by the Viterbi algorithm should not depend on the particular distribution of zeros and ones in the input messages, as they are linear. However, it was identified that specific implementations of Add-Compare-Select unit for the Viterbi Algorithm demonstrate the decoding performance that depends on proportion of elements in the input message. It is conjectured that the modern commercial hard- and software defined communication equipment may also feature similar implementation and as such their decoding performance could also vary.

cs.IT↗