Signal power and energy-per-bit optimization problems in systems mMTC

Abstract

Introduction: Currently, the issues of Internet of Things technology are being actively studied. The operation of a large number of various self-powered sensors is within the framework of a massive machine-type communication scenario, using random access methods. Topical issues in this type of communication are how to reduce the transmission signal power and to increase the device lifetime by reducing the consumed energy per bit. Purpose: Formulation and analysis of the problems of minimizing the transmission power and consumed energy per bit in systems with or without retransmissions in order to obtain the achievability bounds. Results: A model of the system is described, within which four problems are formulated and described, concerning the signal power minimization and energy consumption for given parameters (the number of information bits, the spectral efficiency of the system, and the Packet Delivery Ratio). The numerical results of solving these optimization problems are presented. They make it possible to obtain the achievability bounds for the considered characteristics in systems with or without losses. The lower bounds obtained by the Shannon formula are also presented, assuming that the message length is not limited. The obtained results showed that solving the minimization problem with respect to one of the parameters (signal power or consumed energy per bit) does not minimize the second parameter. This difference is most significant for information messages of a small length, which is common in IoT scenarios. Practical relevance: The results obtained allow you to assess the potential for minimizing the transmission signal power and consumed energy per bit in random multiple access systems with massive machine-type communication scenarios. Discussion: The presented problems were solved without taking into account the average delay of message transmission; the introduction of such a limitation should increase the transmitted signal power and consumed energy per bit.

Investigation of Noise Immunity Telecommunication Systems According to the Criterion Energy Efficiency

“…M 8. Energy efficiency analysis based on signals of the form quadrature amplitude modulation (Burkov, 2023) shows that quadrature amplitude modulation (QAM), is a type amplitude modulation of a signal, which is the sum of two carrier oscillations of the same frequency, but phase shifted relative to each other by , 2 / π each of which is modulated by amplitude with its modulating signal, at which both the phase and amplitude of the signal change, which allows you to increase the amount of information transmitted by one state -the signal count: were considered, where telecommunication is widely used in modern digital systems. In this case, the bandwidth is calculated by formula (17), to construct the law of distribution sum of the signal and noise, the same method was used, where formulas ( 20) and ( 21) are shown.…”

“…Numerous sources Burkov, 2023) consider some aspects related to the construction of an error-correcting receiver and the problem of demodulator synthesis. However, due to the variety of options for solving individual problems and the initial requirements for the systems being designed, it is very difficult to use these results when choosing the optimal modem construction option with efficient signalcode constructions (SCC) (Yu et al, 2020).…”