Probability Of Reception Research Articles

Adjacent-Channel Compatibility Analysis of International Mobile Telecommunications Downlink and Digital Terrestrial Television Broadcasting Reception in the 470–694 MHz Frequency Band Using Monte Carlo Simulation

This paper delves into the imperative need for coexistence and compatibility in the 470–694 MHz frequency band, as mandated by the World Radiocommunication Conference 2015 (WRC-15) and the WRC-23. It focuses on challenges in the coexistence of Digital Terrestrial Television Broadcasting (DTTB) and International Mobile Telecommunications-2020 (IMT-2020) services in downlink-only mode, particularly in adjacent-channel scenarios. Using Monte Carlo simulations, the study evaluates the probability of interference from IMT base stations with DTTB reception. The analysis thoroughly investigates the impact of the IMT transmitter’s Adjacent Channel Leakage Ratio (ACLR) and the DTTB receiver’s Adjacent-Channel Selectivity (ACS) on the probability of interference. The results demonstrate a significant degradation in the DTTB reception probability at the edge of coverage based on standard assumptions. To address these challenges, this paper provides recommendations for mitigating interference. These include defining enhanced ACLR regulations for IMT base stations, implementing antenna discriminations, providing specialized filters, and establishing national coordination procedures. The research provides valuable insights for informed decision making in spectrum management within the 470–694 MHz band, aiming to facilitate the coexistence of DTTB and IMT-2020 services, in line with international regulations and best practices.

Model of Satellite Communication Channel Functioning under Conditions of Episodic Synchronization with Pulse Interference Flows

The article investigates the effect of pulse interference on information reception in conditions of episodic synchronization of frames of the physical level of a satellite communication channel with streams of radio pulses of unintended interference. An analytical model of the influence of pulse interference on the reception of information in a satellite communication channel under conditions of episodic synchronization of physical-level frames with pulse interference streams is proposed. Using the example of the DVB family of standards, the combined effect of noise and unintended impulse interference on the conditional error probabilities when receiving a synchro group, the service part of the header and the information part of the frame is shown. Estimates of the average number of frames of the physical level for the duration of the interval of episodic synchronization, the number of intervals of episodic synchronization and the proportion of elementary parcels in the frame exposed to interference, depending on the duration of the pulse interference, are given. It is shown that there are such relations between the duration of the interference pulse and the continuity of the sequence, in which the phenomenon of the episodic synchronization of physical-level frames with the flow of pulse interference has a significant impact on the functioning of the satellite communication channel. The dependences of the probability of erroneous reception of a frame of the physical level of a satellite communication channel on the signal-to-interference ratio at the fixed signal-to-noise ratio and on the duration of the interference pulse are obtained. It has been found that at high signal-to-noise ratios and the duration of the interference correlated with the duration of the service part of the frame, but significantly less than the duration of the frame, the probability of erroneous reception of the frame may be higher than at lower signal-to-noise ratios due to errors when receiving the service part of the frames.

Average capacity and ABER for perfect optical vortex system in weakly to strongly turbulent oceans

Based on the modified Rytov method, the reception probability spectrum, average bit error rate (ABER), and average channel capacity of the perfect optical vortex (POV) optical system using quadrantal amplitude modulation (QAM) are derived by introducing the mutual coherence function of POV in weak to strong turbulent seawater. The relationship between eddy topological charge, seawater turbulence characteristic parameters, optical system performance parameters, reception probability spectrum the bit error rate, and the average capacity of the POV optical system is numerically analyzed. The following important results are obtained: in long-distance turbulent seawater, the conclusion that the radius of bright ring POV remains almost constant in short-distance standing water and running water is still valid. 4-QAM is more suitable for signal modulation of the POV system in moderate to strong turbulent seawater. The increase of the vortex ring will lead to the increase of the crosstalk degree between vortex modes and the bit error rate of the POV system. Medium to strong turbulence changes the properties that the transmission ability of POV vortex signal mode in non-turbulent media is independent of the topological charge of the vortex. The transmission performance of vortex signals of the POV optical system can be improved by choosing a smaller half-beamwidth of signal, a higher ring radius to the half-beamwidth ratio of the signal, a lower topological charge of vortex mode, a longer signal wavelength, and higher SNR of the optical system.

Analysis of noise immunity of satellite communications under small-scale ionospheric disturbances and time-selective fading of received signals

The article develops a methodology for analyzing the noise immunity of satellite communication systems under small-scale disturbances of the ionosphere, taking into account the possibility of general and time-selective fading of received signals Differential Phase Shift Keying. The refined dependences of the intervals of time and space correlation of fading in the transionospheric radio channel on the parameters of transmitted signals and the state of the ionosphere are obtained. The analytical dependence of the probability of erroneous reception of signals with Differential Phase Shift Keying on the average signal-to-noise ratio at the receiver input, the frequency-time parameters of the signals and the characteristics of small-scale ionospheric inhomogeneities was obtained.

The method of GPS monitoring of small-scale inhomogeneities of the ionosphere and its application for predicting the noise immunity of satellite communication systems

A method has been developed for GPS monitoring of small-scale fluctuations in the total electronic content of the ionosphere and using its results to predict changes in the noise immunity of satellite communication systems under ionospheric disturbances. To this end, the software of the GPStation-6 receiver of the global navigation satellite system was modified in the direction of replacing the code measurements of the total electronic content of the ionosphere with combined (code-phase) measurements, which practically eliminates the "noise" component of the measurement error. To separate small-scale fluctuations of the total electronic content from large-scale ones, it is proposed to use a 6th-order digital Butterworth filter, which in the transmission frequency range (1-10 Hz) at a sampling frequency of 50 Hz provides an amplitude-frequency response close to ideal and introduces a delay not exceeding the permissible value. An expression is obtained for calculating the output samples of this digital filter. The obtained results of estimating small-scale fluctuations of the total electron content of the ionosphere at the output of the digital filter allow us to estimate the standard deviation of these fluctuations. On this basis, the results of calculating the ionospheric flicker index of the received signals of satellite communication systems are obtained. This makes it possible to predict the probability of their erroneous reception at a given average value of the signal-to-noise ratio at the input of the satellite receiver. Analysis of the obtained results of predicting the noise immunity of satellite communication systems shows that in the conditions of an undisturbed mid-latitude ionosphere, the probability of erroneous reception may exceed the permissible value for 30 seconds. This confirms the assumption that with small-scale disturbances of the ionosphere, the probability of error in satellite communication systems may exceed the permissible value for a long time.

Transmit Antenna Selection Based on SNR prediction in TDD Systems Using Convolutional Neural Network

This paper proposes a method for predicting future signal-to-noise ratio (SNR) in a time-division-duplexing (TDD) mobile communication environments using a convolutional neural network (CNN). The communication system uses multiple receive antennas and transmit using only one or two antennas among them. A CNN model is proposed to predict the SNR at a future transmission time based on past SNRs received from multiple antennas. The probability of reception at a certain is set to 10-100%. In case that SNR cannot be measured due to the absence of reception, linear interpolation is performed using two adjacent recorded SNRs. If even two adjacent SNRs do not exist, the SNR is set to 0dB. Comparing the predicted SNRs at multiple antennas, the antenna with the highest SNR value is selected for future transmission. To verify antenna selection accuracy, computer simulation is conducted. The simulation results substantiate the superiority of the proposed method over conventional method in single antenna selection. Regarding multi-antenna selection, the proposed method demonstrates diminished accuracy relative to conventional methods at lower speeds. Nevertheless, a comprehensive evaluation considering the root mean square error (RMSE) demonstrates the overall superiority of the proposed method across all speeds.

Analysis of Data Reception in the Communication Layer Applied to an Architecture of Mobile Sensor Networks in Marine Environments

This paper is focused on the use of radio frequency identification (RFID) technology operating at 125 kHz in a communication layer for a network of mobile and static nodes in marine environments, with a specific focus on the Underwater Internet of Things (UIoT). The analysis is divided into two main sections: characterizing the penetration depth at different frequencies and evaluating the probabilities of data reception between antennas of static nodes and a terrestrial antenna considering the line of sight (LoS) between antennas. The results indicate that the use of RFID technology at 125 kHz allows for data reception with a penetration depth of 0.6116 dB/m, demonstrating its suitability for data communication in marine environments. In the second part of the analysis, we examine the probabilities of data reception between static-node antennas at different heights and a terrestrial antenna at a specific height. Wave samples recorded in Playa Sisal, Yucatan, Mexico, are used for this analysis. The findings show a maximum reception probability of 94.5% between static nodes with an antenna at a height of 0 m and a 100% data reception probability between a static node and the terrestrial antenna when the static-node antennas are optimally positioned at a height of 1 m above sea level. Overall, this paper provides valuable insights into the application of RFID technology in marine environments for the UIoT, considering the minimization of impacts on marine fauna. The results suggest that by adjusting the characteristics of the RFID system, the proposed architecture can be effectively implemented to expand the monitoring area, considering variables both underwater and on the surface of the marine environment.

Resource Constrained Vehicular Edge Federated Learning With Highly Mobile Connected Vehicles

This paper proposes a vehicular edge federated learning (VEFL) solution, where an edge server leverages highly mobile connected vehicles’ (CVs’) onboard central processing units (CPUs) and local datasets to train a global model. Convergence analysis reveals that the VEFL training loss depends on the successful receptions of the CVs’ trained models over the intermittent vehicle-to-infrastructure (V2I) wireless links. Owing to high mobility, in the full device participation case (FDPC), the edge server aggregates client model parameters based on a weighted combination according to the CVs’ dataset sizes and sojourn periods, while it selects a subset of CVs in the partial device participation case (PDPC). We then devise joint VEFL and radio access technology (RAT) parameters optimization problems under delay, energy and cost constraints to maximize the probability of successful reception of the locally trained models. Considering that the optimization problem is NP-hard, we decompose it into a VEFL parameter optimization sub-problem, given the estimated worst-case sojourn period, delay and energy expense, and an online RAT parameter optimization sub-problem. Finally, extensive simulations are conducted to validate the effectiveness of the proposed solutions with a practical 5G new radio (5G-NR) RAT under a realistic microscopic mobility model.

Memory Enabled Bumblebee-Based Dynamic Spectrum Access for Platooning Environments

In this paper, we propose a novel memory-enabled non-uniform sampling-based bumblebee foraging algorithm (MEB) designed for optimal channel selection in a distributed Vehicular Dynamic Spectrum Access (VDSA) framework employed in a platoon operating environment. Given how bumblebee behavioral models are designed to support adaptation in complex and highly time-varying environments, these models can be employed by connected vehicles to enable their operation within a dynamically changing network topology and support their selection of optimal channels possessing low levels of congestion to achieve high throughput. As a result, the proposed VDSA-based optimal channel selection employs fundamental concepts from the bumblebee foraging model. In the proposed approach, the Channel Busy Ratio (CBR) of all channels is computed and stored in memory to be accessed by the MEB algorithm to make the necessary channel switching decisions. Two averaging techniques, Sliding Window Average (SWA) and Exponentially Weighted Moving Average (EWMA), are employed to leverage past samples and are evaluated against the no-memory case. Due to the high variability of the environment (e.g., high velocities, changing density of vehicles on the road), we propose to calculate the CBR by employing non-uniform channel sampling allocations as well as evaluate it using both simplified numerical and realistic Vehicle-to-Vehicle (V2V) computer simulations. The numerical simulation results show that gains in the probability of the best channel selection can be achieved relative to a uniform sampling allocation approach. By utilizing memory, we observe an additional increase in the channel selection performance. Similarly, we see an increase in the probability of successful reception when utilizing the bumblebee algorithm via a system-level simulator.

RIS-Aided LDM System: A New Prototype in Broadcasting System

Layer-division multiplexing (LDM) system has developed with significant improvement in spectrum efficiency and service diversity. LDM technology, that superposes multiple signals with different transmit powers, has been adopted by ATSC 3.0 to deliver robust high-definition services. However, due to the high mobility of devices, the wide signal coverage, and the uneven geographical channel condition, there exists under-utilized energy and significant potential of enhancing communication capacity in the LDM system. In this paper, we employ reconfigurable intelligent surface (RIS) to improve the reception quality in the LDM system, especially the SINR performance of the terminals in the edge area. We formulate a problem of maximizing the minimum SINR among all the terminals by jointly optimizing the power control and pairing mechanism, which is a Mixed-integer Nonlinear Programming (MINLP) problem. To solve it, we use the convex-concave procedure (CCCP). We further explore the high-mobility scenario with the limited channel state information (CSI) and the missing knowledge of detailed prediction of terminals’ mobility. We use Brownian Motion to model the possible variation of the terminals’ positions in the high mobility scenario to guarantee the successful reception probability. The analysis shows the RIS can bring obvious SINR gain to the LDM system, and the mobility modification could greatly help improve the successful reception probability.

Optimization of radio signal parameters with nonlinear distortions in the radio track

The realization of the possibilities of communication systems depends significantly on the quality indicators of the management system and its material basis - the communication system itself, especially during the full-scale invasion of Russia on the territory of our state. Currently, the readiness, probabilistic-temporal and operational-technical characteristics of control and communication systems are as important indicators as the number and quality of means of countering the enemy. In order to increase the effectiveness of the functioning of the mobile components of the special communication systems, it is planned to make extensive use of radio communication equipment and systems in their composition. This will allow solving the existing problems of continuity and stability of management already in the near future and opens further prospects for improving the operational and technical characteristics of the special communication system as a whole Orthogonal Frequency Division Multiplexing (OFDM) is widely used in the construction of radio communication systems. A lot of attention is paid to the construction of signal-code structures (SCC), which allow to increase the speed of information transmission with restrictions on energy and bandwidth of operating frequencies. The article proposes a technique that consists in building a signal-code structure with optimal parameters according to the criterion of maximum frequency efficiency while limiting the probability of false reception of signals in the conditions of nonlinear signal distortions in the radio path, which allows to increase the speed of information transmission with restrictions on energy and bandwidth operating frequencies (increase the frequency efficiency of the system). Increasing the frequency efficiency of SRS with OFDM by matching the form of the transmitted signals and the type of modulation with the parameters of the communication channel without additional expansion of the channel bandwidth and increasing the transmitter power is a rather urgent task.

ВЫСОКОЭФФЕКТИВНЫЙ МОДЕМ ДЛЯ ПОДВОДНЫХ СИСТЕМ СВЯЗИ

The algorithm of operation of the modem with increased energy efficiency with quadrature intrapulse phase modulation (QIPPM) in radio lines using extremely low frequencies for underwater communication is described. In this case, the increase in energy efficiency of the modem with QIPPM is achieved by reducing its frequency efficiency and introducing additional code redundancy. This allows for a 2-fold increase in depth for underwater communication. At the same time the probability of erroneous reception of code combinations is reduced to a minimum.

The Performance Analysis of SPMA Protocol in High Speed Mobile Ad Hoc Network

Aiming at the performance analysis of statistical priority-based multiple access (SPMA) protocol, the time slot transmission probability modeling method based on preemptive M/G/1 queue is proposed. The equation of time slot transmission probability is deduced through mathematical modeling, and the solution method under given system parameters is given. Then, the successful reception probability of the message is derived, and the general relationship between the successful reception probability and the duty cycle is established, so as to obtain the threshold setting method of the message with the highest priority. To solve the contradiction between channel utilization maximization and priority scheduling mechanism between nodes, the strategy of minimizing re-served resources among priorities is adopted to set the low priority threshold with the minimum threshold difference, which solves the SPMA protocol threshold setting problem. The simulation scenario of high speed mobile ad hoc network is established. The performance curves of SPMA protocol under typical simulation parameters are obtained, including throughput, probability of successful transmission and end-to-end transmission delay, etc. The effectiveness of the proposed method is verified comprehensively.

Исследование эффективности помехозащищенности радиоканала авиационной радиосвязи

When performing aviation flights the high-quality and reliable communication with the control room becomes important for ensuring the crew safety. The purpose of the study is to investigate the quality of aviation radio communication in different methods of information transmission for developing the technical solutions of radio communication perfection. The equipment used today is designed for instant selection of preset channels and data exchange at fixed operating frequencies of ground control points with aircraft radio equipment in the meter and decimeter ranges. The most important requirement for the aviation radio communication systems is to ensure a high level 
 of noise immunity including protection against active interference. There is considered the process of frequency changing, or frequency hops, as the most successful at the first stage of the study in order to find the least interference-prone operating frequency. The use of pseudorandom frequency changing of radio communication between the ground control points and aircraft radio equipment is studied as one of the ways of leveling interference effects. To increase the stability of the radio line, it is necessary to use digital methods of information transmission. The use of digital methods of encoding information leads to low-level errors in the processes of discretization, modulation, amplification, demodulation and filtering. Due to this, nonlinear quantization allows for a higher level of signal-to-noise ratio. With a constant power level of the transmitter it is possible to carry out stable communication even at higher values 
 of the signal-to-interference ratio, which generally leads to the increasing radio transmission range. Using highly robust coding methods, the probability of error can also be reduced. There are studied different parameters reflecting the quality of information transmission over the radio channel: speech intelligibility, probability of erroneous reception of symbols. Thus, the digital methods of information transmission have higher noise immunity compared to the analog ones, even without special protection measures. Using special measures (noise-proof coding, pseudorandom frequency changing) can significantly increase the jamming protection of the radio communication system.

АЛГОРИТМ ОПТИМАЛЬНОГО ПОСИМВОЛЬНОГО ПРИЕМА ЧАСТОТНО-ЭФФЕКТИВНЫХ СИГНАЛОВ С КОРРЕКТИРУЮЩИМИ КОДАМИ В НЕДВОИЧНЫХ ПОЛЯХ ГАЛУА

The description of the developed algorithm for optimal symbol-by-symbol reception of signal structures based on frequency-efficient signals with two-dimensional «constellations» intensively used in applications and block correction codes in non-binary Galois fields is given. It is shown that symbol-by-symbol reception minimizes the error probability for code symbol or for information bit in contrast to the well-known maximum likelihood rule which minimizes the error-probability for code word. It is proved that the basis of this decoding algorithm is the spectral transform in the Walsh-Hadamard basis and the resulting complexity of the algorithm is determined by the dimension of the dual code which makes it promising for block correction codes with a high code rate (with low redundancy). The study of the error-performance characteristics (probability of erroneous reception for information bit) of the considered symbol-by-symbol reception algorithm was carried out by simulating it for signal structures based on signals with multilevel phase shift keying (PSK-16 signals) and on signals with quadrature amplitude manipulation (QAM-16 signals) and on simple correcting code with a general parity check in non-binary Galois field of size 16. It is shown that the use of the symbol-by-symbol reception algorithm provides an energy gain for the bit error probability from 0.00001 to 1.25…1.5 in relation to the considered signals without coding. As the bit error probability decreases the energy gains increase.

Safety risk focused analysis of V2V communication especially considering cyberattack sensitive network performance and vehicle dynamics factors

Future transportation is expected to be connected, cooperative, and highly automated. Classic automated vehicular functions are developed based on safety principles primarily, but the reliability and cybersecurity of wireless communication processes pose new challenges for the automotive industry for connected vehicles, representing Connected, Cooperative and Automated Mobility (CCAM) systems as cyber-physical systems. Since CCAM system safety is significantly affected by network performance metrics, we need to consider communication factors such as end-to-end latency and packet delivery ratio during the safety evaluation of highly automated vehicle functions. This study presents a methodological framework which links the safety of the CCAM systems with the cyber security sensitive network performance metrics, as well as the vehicle dynamics factors in order to evaluate the effect of intentional or unintentional communication failures. Accordingly, we introduced a new approach to characterize the safety risk of specific Vehicle-to-Vehicle (V2V) applications. Beyond this, severity of collision and message reception probability functions were introduced to further investigate the safety of the analyzed application. Finally, the values of the safety risk index for different warning intervals are summed, which suggest that the safety effect of specific function-related parameters could be and shall be represented during the function development process.

Channel capacity optimization scheme for safety applications in vehicular ad hoc networks

SummaryVehicular ad hoc networks (VANETs) have attracted significant attention due to their safety, traffic management, and infotainment applications. However, vehicular communication suffers from network congestion caused by high vehicle density, which raises numerous challenges for efficiently disseminating emergency messages in vehicular safety applications. This paper aims to solve the problem of capacity optimization of the control channel (CCH) during the delivery of emergency messages. Hence, we propose a novel channel capacity optimization scheme for safety application (CCOSSA). The performance of the CCOSSA scheme is evaluated by performing comprehensive traffic and network simulations regarding various parameters such as the probability of reception, channel busy time (CBT) ratio, and average delay. CCOSSA scheme is compared with the state‐of‐the‐art schemes under varying vehicle density and distance from the source in which the proposed scheme shows an improvement in the performance.

Performance analysis of cognitive radio‐assisted clustering car‐following V2X communication system

SummaryIn this paper, we study high spectrum efficiency transmission in vehicle to everything (V2X) system to allow the roadside unit (RSU) broadcasts its safety information to vehicles which belong to a dedicated group. However, low latency and high reliability are tightly required in related applications of V2X; we explore advantages of cognitive radio (CR) and non‐orthogonal multiple access (NOMA) to form system, namely, CR NOMA‐V2X. Such considered system provides transmissions from the RSU to vehicles with respect to lower access latency and to enhance the packet reception probability. In the proposed scheme, the vehicles need channel state information (CSI) for signal decoding order, but we face with imperfect CSI occurs in practical scenarios. To evaluate such degraded system performance of the involved CR NOMA‐V2X, we introduce the approximate closed‐form expressions of outage probability. Numerical results indicate the validness of our derivations.

A Blockchain Based Federated Learning for Message Dissemination in Vehicular Networks

Message exchange among vehicles plays an important role in ensuring road safety. Emergency message dissemination is usually carried out by broadcasting. However, high vehicle density and mobility lead to challenges in message dissemination such as broadcasting storm and low probability of packet reception. This paper proposes a federated learning based blockchain-assisted message dissemination solution. Similar to the incentive-based Proof-of-Work consensus in blockchain, vehicles compete to become a relay node (miner) by processing the proposed Proof-of-Federated-Learning (PoFL) consensus which is embedded in the smart contract of blockchain. Both theoretical and practical analysis of the proposed solution are provided. Specifically, the proposed blockchain based federated learning results in more vehicles uploading their models in a given time, which can potentially lead to a more accurate model in less time as compared to the same solution without using blockchain. It also outperforms other blockchain approaches in reducing 65.2% of time delay in consensus, improving at least 8.2% message delivery rate and preserving privacy of neighbor vehicle more efficiently. The economic model to incentivize vehicles participating in federated learning and message dissemination is further analyzed using Stackelberg game. The analysis of asymptotic complexity proves PoFL as the most scalable solution compared to other consensus algorithms in vehicular networks.

An Approach for Intersection Prevention in Transmission Channel Using Correlation Matrix and Tree Construction Model in V2X Framework

Typically, the delivery of information in vehicular ad hoc networks (VANETs) is regarded as a demanding one because of high mobility and invariable topological difference. One major concern in VANET framework is the occurrence of simulated intersection at which the packet reception probability become complicated for predicting and the model turn out to be complex highly. So as to overcome this dispute, a new framework is introduced which in turn prevents the intersection among the transmission path. Initially, the system model is initialized and the availability of channel is estimated. Based on the strength and size of data to be transmitted, the availability of channel is computed. After that, the best forwarding zone computation is made for minimizing the redundant data packets flow. To check the priority of packet and occurrence of packet collision, tree construction based data strength transmission is employed at last, the prevention of intersection or collision between the transmission channel is checked by means of correlation matrix based intersection prevention approach by monitoring the neighbor node. Then, the data packets were forwarded in an efficient manner without any intersection between the frames. The performance analysis is estimated in terms of network lifetime, packet delivery ratio, packet collision; inter node collision, throughput, and end-to-end delay.