Quality Of Service For Users Research Articles

Effect of the Quality of Banking Technology Services on Customer Satisfaction with Services and Green Banking Technology (Case Study: Iran and Iraq)

Organizations in a competitive and challenging environment emphasize more than anything to create sustainable and profitable relationships with customers. Traditional marketing always focuses on attracting new customers and sales; while this view has changed today, maintaining current customers and creating a permanent relationship with them is on the agenda besides trying to get new customers. Here, customer satisfaction is one of the important components. Accordingly, this study has evaluated the relationship between technology service quality and services for green banking users and technology satisfaction. Thus, a questionnaire was used to collect data, and finally, information from 700 respondents was collected, which included individuals who used green banking services. The statistical sample of the research included 350 people who use green banking services in Iran and 350 people who use green banking services in Iraq in 2023. The desired model has been validated with the help of Structural Equation Modeling (SEM) analysis through AMOS and SPSS software. The results showed that the quality of technology services in Iran including (dimensions of reliability, tangible property, accountability, empathy, and confidence) had positive and significant effects on customer satisfaction with green banking services and customer satisfaction with green banking technology. As for Iraq, the first main hypothesis is confirmed: the quality of technology services including (dimensions of reliability, tangible property, responsiveness, empathy, and assurance) had positive and significant effects on customer satisfaction with green banking services. However, while the second hypothesis of the research has been confirmed: the quality of technology services has positive and significant effects on customer satisfaction with green banking technology, three sub-hypotheses have been rejected: the effect of reliability, responsiveness, and empathy dimension of technology service. Therefore, this research provides a new perspective for sensitive and committed countries to strengthen their green development in banking strategies by welcoming technological advances.

Job-Deadline-Guarantee-Based Joint Flow Scheduling and Routing Scheme in Data Center Networks.

Many emerging Internet of Things (IoT) applications deployed on cloud platforms have strict latency requirements or deadline constraints, and thus meeting the deadlines is crucial to ensure the quality of service for users and the revenue for service providers in these delay-stringent IoT applications. Efficient flow scheduling in data center networks (DCNs) plays a major role in reducing the execution time of jobs and has garnered significant attention in recent years. However, only few studies have attempted to combine job-level flow scheduling and routing to guarantee meeting the deadlines of multi-stage jobs. In this paper, an efficient heuristic joint flow scheduling and routing (JFSR) scheme is proposed. First, targeting maximizing the number of jobs for which the deadlines have been met, we formulate the joint flow scheduling and routing optimization problem for multiple multi-stage jobs. Second, due to its mathematical intractability, this problem is decomposed into two sub-problems: inter-coflow scheduling and intra-coflow scheduling. In the first sub-problem, coflows from different jobs are scheduled according to their relative remaining times; in the second sub-problem, an iterative coflow scheduling and routing (ICSR) algorithm is designed to alternately optimize the routing path and bandwidth allocation for each scheduled coflow. Finally, simulation results demonstrate that the proposed JFSR scheme can significantly increase the number of jobs for which the deadlines have been met in DCNs.

PROBLEM OF OPTIMAL SELECTION OF INFORMATION RESOURCES FOR THE INTERNATIONAL PATENT SEARCH OF METALLURGICAL MATTERS

The continuous digitization of patent information sources and the emergence of new world leaders in metallurgical science and production necessitate the correction of traditional approaches to international patent searches, which are carried out by specialists of science & technology libraries for users-inventors. The authors have compiled an exhaustive register of existing national and international electronic patent databases (EPDB), which includes 49 titles and covers the patent offices of countries, whose joint share in steel production, as of 2022, reaches 99% of the world total. Thus, the widest possible breadth of international patent search in the metallurgical field was determined. In order to spare the working time of library specialists and save resources while performing this type of search, the task of its optimization was formulated and subsequently solved. The study developed three possible scenarios of patent search, which include 11, 5 and 1 recommended electronic databases. The authors have carried out a comparative analysis of the three largest multinational free-access EBDBs: Patentscope, Espacenet and Depatisnet. It is determined that Espacenet contains the most complete and up-to-date collection of metallurgical patents and, therefore, is best suited for this type of search. In general, the research has a pronounced practical orientation and is intended to give the specialists of science & technology libraries tools and guidance for performing international patent searches in modern conditions and, thus, to improve the quality of user service. In addition, the obtained work results made it possible to determine promising directions for replenishment of library funds.

Multi-Objective Optimization for IRS-Aidded Multi-user MIMO SWIPT Systems

In this paper, we investigate an intelligent reflecting surface (IRS) assisted simultaneous wireless information and power transfer (SWIPT) system in which users equipped with multiple antennas exploit power-splitting (PS) strategies for simultaneously information decoding (ID) and energy harvesting (EH). Different from the majority of previous studies which focused on single objective optimization problems (SOOPs) and assumed the linearity of EH models, in this paper, we aim at studying the multi-objective optimization problem (MOOP) of the sum rate (SR) and the totalharvested energy (HE) subject to the maximum transmit power (TP) constraint, the user quality of service (QoS), and HE requirements at each user with taking a practical non-linear EH (NLEH) model into consideration. To investigate insightful tradeoffs between the achievable SR and total HE, we adopt the modified weighted Tchebycheff method to transform the MOOP into a SOOP. However, solving the SOOPs and modified SOOP is mathematically difficult due to the non-convexity of the object functions and the constraints of the coupled variables of the base station (BS) transmit precoding matrices (TPMs), the user PS ratios (PSRs), and the IRS phase shift matrix (PSM). To address these challenges, an alternating optimization (AO) framework is used to decompose the formulated design problem into sub-problems. In addition, we apply the majorization-minimization (MM) approach to transform the sub-problems into convex optimization ones. Finally, numerical simulation results are conducted to verify the tradeoffs between the SR and the total amount of HE. The numerical results also indicate that the considered system using the IRS with optimal phase shifts provides considerable performance improvement in terms of the achievable SR and HE as compared to the counterparts without using the IRS or with the IRS of fixed phase shifts.

Heterogeneous cyber-physical network coexistence through interference contribution rate and uplink power control algorithm (ICR-UPCA) in 6G edge cells

Optimizing power control for interference mitigation at the network cell edge is pivotal in enhancing capacity within a heterogeneous cyber-physical infrastructure, such as smart cities, manufacturing, healthcare, energy grids, transportation, and agriculture, among others. In this paper, we consider the intricate dynamics of Internet of Things (IoT) 5/6G edge users, with a particular focus on the Interference Contribution Rate (ICR), where macro and femtocells are critical network infrastructures. Existing approaches has drawbacks such as computational complexity, overhead, and co-channel interference, among others. However, to fully address interference challenges from the coexistence of diverse network hierarchies, preserving the Quality of Service for femtocell users is prioritized. The paper concurrently enhances the handoff mechanism of cell edge users in the macro cell network. A two-tier heterogeneous network (HetNet) is utilized to initially assess the contribution of edge user equipment (UE) to interference levels during its active state while quantifying it as ICR. Game theory is used to formulate a cohesive model for the coexistence of macro cell (MUE) and femtocell users (FUE). ICR-based uplink power control and reference signal received quality (RSRQ)-based handoff algorithms are deployed to regulate interference levels and enhance the Signal-to-Interference-Noise Ratio (SINR) of the MUE at the cell edge. This is achieved through coordinated transmit power adjustments by both user types. Results indicate a 6.67 % channel capacity loss (interference tolerance) by the FUE, leading to a 12.5 % improvement, translating to approximately 4 Mbps and 1 Mbps channel enhancements, respectively. The MUE and FUE can effectively coordinate power control with minimal overhead, accepting compromises in network channel quality. This approach facilitates improved MUE data access rates while ensuring the preservation of FUE. We show that interference is successfully mitigated through power control in heterogeneous networks with lower computational complexity.

Competences of a Library Specialist as a Factor in the Formation of Innovative Media Space

The purpose of the work is a systematic analysis, substantiation and determination of the key competencies of a library specialist, necessary for the successful implementation of innovations in the media space of modern libraries and improvement of the quality of user service. The work methodology. A systematic review of the literature was carried out, which analyzed scientific publications and studies related to the competencies of library specialists and their influence on the formation of innovative media space. An empirical approach was used, which includes surveying library professionals to collect specific data on their competencies and experience in implementing innovations in the media space of the library. Scientific novelty. The research is focused on the integrated analysis of the key competencies of the library specialist and the development of recommendations for improving the efficiency of library practices, taking into account the modern requirements for library work and rapid changes in the information environment. The article reveals an innovative approach to considering competencies as a dynamic tool aimed at actively introducing innovations into the media space of libraries, ensuring their adaptation to the challenges of the digital age. Conclusions. The key competencies required for a librarian in the age of digital transformation are highlighted, such as information literacy, digital media skills, and professional communication. Mastering modern technologies, in particular interactive and multimedia, allows a librarian to provide users with innovative services and meet their information needs. A systematic approach to competence development is proposed, including education, training and continuous professional development to ensure the relevance of skills. It is emphasized that the development of the competences of the library staff contributes to the improvement of the quality of user service and creates a foundation for innovations in the media space. Recommendations for the list of professional competencies that can be taken into account in the Professional Standard "Library and Information Specialist" in the context of the development of the innovative media space of libraries have been formulated. Keywords: professional competence, digital literacy, professional development, library specialist, innovative library media space, digital librarian.

User preference-aware content caching strategy for video delivery in cache-enabled IoT networks

The escalating growth of content-dependent services and applications within the Internet of Things (IoT) platform has led to a surge in traffic, necessitating real-time data processing. Content caching has emerged as an effective solution to counteract this traffic upswing. Caching not only improves network efficiency but also enhances user service quality. Critical to the development of an optimal caching algorithm is the accurate prediction of future content popularity. This prediction hinges on the ability to anticipate users' content preferences, which is a pivotal method for assessing content popularity. In this study, we introduce a novel caching strategy termed User Preference-aware content Caching Strategy (UPCS) tailored for an IoT platform, where users access multimedia services offered by remote Content Providers (CPs). The UPCS encompasses three key algorithms: a content popularity prediction algorithm that utilizes Variational Autoencoders (VAE) to forecast users' future content preferences based on their prior requests, an online algorithm for dynamic cached content replacement, and a cooperative caching algorithm to augment caching efficiency. The proposed content caching strategy outperforms alternative methods, exhibiting superior cache hit rates and reduced Content Retrieval Delays (CRD).

Analysis of Service Quality JKN Mobile Application Toward Participants Satisfaction of the Health Social Security Implementing Agency (BPJS) Tegal Regency

Background: JKN Mobile is an innovation by BPJS Kesehatan to provide service access easier for their participants. JKN Mobile application can be accessed everytime and everywhere while continuing to provide optimal service quality for user satisfaction.Objective: This study aims to analyze the correlation between service quality (tangile, reliability, responsiveness, assurance, and empathy) with satisfaction of JKN Mobile’s users at Tegal Regency.Methods: Type of quantitative research using cross sectional research design. Sampling method using accidental sampling technique. Total sample 100 respondents using Lameshow sample size formula. The research instrument used questionnaire.Results: Based on the fisher exact statistical test on the service quality with satisfaction the result is tangible (p=0,001), reliability (p=0,000), responsiveness (p=0,000), assurance (p=0,000), dan empathy (p=0,000). Conclusion: There was a significant relationship between service quality with satisfaction.

Research on the High-quality Development Path of Asian Tourism under the New Type of Operation: Take Global Famous Cruise Brand America Princess Cruise Company as an Example

Purpose - The purpose of this paper is to explore the existing problems of the Asian Cruise Service Quality. Based on the relationship between customer participation , customer service personal value and customer loyalty, this paper expounds on how European and American cruise companies can improve customer loyalty by enhancing “customers’ personal value perception to realize the harmony and unity of the enterprises’ profits and social benefits.
 Design/Methodology/Approach - Based on marketing, the paper studies the low service quality problems of Asian cruise companies. Based on the case analysis and the marketing theories regarding Service-dominant Logic, Customer Value Theory, Customer Loyalty Theory, taking Amercian Princess Cruise company as an example, found the main problems of Asian cruise companies: Low customer loyalty and poor customer experience. Therefore, we make three suggestions.
 Findings - This paper analyses the promotion path of Carnival Cruise Line, which includes powerful cultural values, surprise service, zero burdens etc. to promote the customer’s personal value perception, therefore obtain the loyalty of the customers. The above empirical research results uncover the relationship among customer participation, personal service value, and customer loyalty, and customers’ participation always helps to strengthen their loyalty (Dubé and Renaghan, 2000; Guo Anxi et al., 2013; Kashyap and Bojanic, 2000; Williams and Soutar, 2009).
 Research Implications - In the management of this paper, this study has significance in improving the development of Asian tourism, improving user experience and service quality which will also provide a reference for other “scholars’ follow-up research

Project Management as a Tool For Effective Formation of Innovative Library Media Space

The purpose of the work is to study the role of project management as a key tool in the process of forming an innovative media space in libraries. The research is aimed at revealing methods, techniques and best practices in the application of project management for the successful development of the media space of the library, in particular at studying the processes of planning, implementation and evaluation of projects in the context of innovative initiatives. The research methodology is based on a set of general scientific methods of generalisation, systematisation and forecasting. In order to identify approaches to the forms and content of project management components in modern libraries, an aspect-by-aspect analysis of specialised literature was applied. The method of information diagnostics was used to study the state of the media space of libraries and innovative projects that have already been implemented or are planned in the library field. Scientific novelty. Emphasis is placed on changes in library practice in the context of growing demands for digital library services, and the need to integrate project management as a key tool for solving the problems of innovative library development and improving the quality of user service is actualised. Conclusions. It was found that the application of the project management methodology in libraries is due to the innovativeness, integration and complexity of tasks related to the introduction of modern digital technologies, the dynamic external environment of the modern library, the need to coordinate various types of resources (financial, time, professional) and to meet deadlines project. The necessity of integrating project management into library practice for effective formation of innovative media space in libraries, implementation of new digital initiatives for further development of the user service sphere was considered and proved. The methods, techniques and best practices of applying project management for the successful development of the media space of the library have been determined. General scientific methods of generalisation, systematisation and forecasting are used for the analysis and generalisation of specialised literature. Keywords. Innovative media space of the library, project management, digital library projects, digital transformations of the library, competencies of library specialists.

DRL assisted multi-objective algorithm for multicast scheduling in elastic optical network

Multicasting, as a main transmission mode for most of the current applications in elastic optical network, has attracted more and more research attention. In this paper, we investigate multicast scheduling model and solving algorithm. First, we model the multicast scheduling problem as a multi-objective optimization problem (MOP) by minimizing the bandwidth resources and maximizing the user service quality, and then, we propose a deep reinforcement learning assisted multi-objective algorithm for the model (DRL-MM), in which we design source node selection strategy, routing scheme, modulation scheme and spectrum assignment scheme for each multicast session. To identify the superiority of the proposed DRL-MM, we conduct the experiments and compare DRL-MM with an approximation based Steiner tree algorithm (STA-RSA) and a load-balancing routing tree-based algorithm (LD-RSA) through the experiments. The results show that DRL-MM outperforms STA-RSA and LD-RSA in terms of both bandwidth resource usage and user service quality.

PENGARUH KUALITAS SISTEM, KUALITAS INFORMASI DAN KUALITAS PELAYANAN PADA SISTEM ENTERPRISE RESOURCE PLANNING TERHADAP KEPUASAN PENGGUNA

Purpose– This study aims to determine the effect of system quality, information quality and service quality on the Enterprise Resource Planning (ERP) system on user satisfaction at PT. Orindo Alam Ayu Medan branch. Design/methodology– This research uses quantitative research methods. The population in this study are Oriflame members in Medan City. The sampling technique used was purposive sampling with a total sample of 100 respondents. Data collection techniques using a questionnaire with a Likert scale. Then the primary data obtained was processed through SPSS software version 29. Findings - The results showed that the quality of the system has no effect on user satisfaction. Information quality has a significant effect on user satisfaction and service quality has a significant effect on user satisfaction. Then simultaneously system quality, information quality, and service quality have a significant effect on user satisfaction of the Enterprise Resource Planning (ERP) system at PT. Orindo Alam Ayu Medan Branch.

Understanding the influencing factors and mechanism of social compensation for Chinese older adults using social media in the context of smart home: a qualitative analysis.

As a new generation of necessary terminals for future homes, smart homes have become one of the essential mediums for smart aging at home. This paper aims to explore how older adults who age at home can overcome the digital divide of the new medium and achieve social participation in the home context to realize active aging. Based on the theory of social compensation, we select the smart-home smart screen, a representative new medium product in China, and carry out open coding, spindle coding, selective coding, and theoretical construction of the original interview data through the grounded theory research method. The results show that the main factors affecting the social compensation of older adults to smart home social media include user interface quality, interaction quality, content quality, and service quality, and these four factors are used as external variables to compensate older adults socially, thereby stimulating the emotional experience and perception changes at the cognitive level of older adults and then affecting the adoption and acceptance of smart home social media by older adults. This study refines the factors influencing the older adults' use of smart home social media from the perspective of social compensation. It explains the mechanism of acceptable behavior of older adults, bridging the gap in previous literature on the influencing factors and behavioral mechanisms of older adults of smart home social media. This paper provides a theoretical basis and guidance for the subsequent academic research and software development practice of social media under new technological devices to further help older adults in China achieve active and healthy aging.

Resource allocation strategy for blockchain-enabled NOMA-based MEC networks

Blockchain technology is getting more and more attention due to its decentralization, independence and security features. However, in wireless networks it faces a computational challenge: the proof-of-work problem. Mobile edge computing (MEC) leads to a vaild scheme by providing cloud computing capabilities to mobile devices. Non-orthogonal multiple access (NOMA) exploits the diversity properties in the power domain to further increase system throughput and spectral efficiency. In this paper, we suggest a new NOMA-based MEC wireless blockchain network to minimize system energy consumption through task offloading decision optimization, user clustering, computing resource and transmit power allocation. In order to effectively figure out this non-convex problem, we first propose a offloading decision and user clustering algorithm, and then propose a computing resource allocation algorithm based on user Quality of Service (QoS) requirements. Finally, the transmission power can be easily determined. The numerical simulation results verify that the proposed joint optimization algorithm can effectively decrease the system energy consumption.

Joint Trajectory Design and Power Allocation for UAV Assisted Network With User Mobility

This paper investigates the unmanned aerial vehicle (UAV) assisted wireless communications where the UAV acts as the aerial base station to provide downlink data service to the ground users. We consider a typical hot-spot scenario in which the ground users move towards the target points of interests (PoIs) in groups. The UAV can also fly in air to cope with the movement of users. To maximize the system throughput, an optimization problem is formulated to jointly determine the subchannel assignment, the trajectory of UAV and its power allocation per time slot, where the navigation power of UAV, the co-channel interference as well as the quality of service (QoS) requirements of users are taken into account. As the problem is non-convex and hard to solve, we propose a cascade approach. First, we design a user clustering and pairing algorithm to accomplish the subchannel assignment. Then, we apply the block coordinate descent (BCD) based framework to decompose the remaining problem into the power allocation sub-problem and the trajectory design one. The sub-optimal solution can be gradually achieved through alternatively solving these two sub-problems. As for the power allocation sub-problem, we opt to the difference of convex (DC) functions form and the successive convex approximation (SCA) method to solve it. While for the trajectory design sub-problem, the auxiliary variables and SCA method are utilized. Vivid simulation results reveal that the proposed iterative algorithm can well satisfy the QoS of users and achieve significant performance gain compared with other benchmark schemes.

Improving Quality of Service for Users of Leaderless DAG-Based Distributed Ledgers

Usability of distributed ledgers is crucial to their mainstream adoption, especially for enterprise applications in which most users do not wish to operate full-node infrastructure. Some attempts have been made to solve the problem of user-node interaction for blockchains in which leaders assemble users’ transactions into blocks, but in the case of leaderless DAG-based ledgers such as IOTA, many of these solutions cannot be applied due to the absence of a shared mempool and the ability of nodes to issue blocks in parallel. In this work, we propose a user-node interaction mechanism for ledgers of this kind that is designed to balance user traffic across nodes and ensure the risk of a user experiencing a poor quality of service is low. Our mechanism involves users selecting nodes to issue their transactions to the ledger based on quality of service indicators advertised by the nodes. Simulation results are presented to illustrate the efficacy of the proposed policies.

NGMA‐based intergrated communication and computing for 6G‐enabled cognitive radio networks

AbstractAccording to the urgent low latency and the heavy computation tasks demands required for sixth‐generation (6G) wireless networks, the authors introduce the conventional resource allocation algorithms, including the game theory, artificial‐intelligence (AI) methods, and matching theory enabled framework, in which the multi‐access edge computing (MEC) scheme collaborative with the cloud platform to serve the primary users (PUs) and cognitive users (CUs) for next generation multiple access (NGMA). The proposed framework allows both the PUs and CUs to offload their computation tasks in a 6G‐enabled cognitive radio (CR) networks, so called cloud‐assisted CR‐MEC networks. In particular, the fundamentals of this conceived networks based on NGMA are first introduced. Hence, a number of methods based on the resource allocation algorithms are proposed in order to improve the quality of service for the mobile users, and reduce their transmission latency as well as the energy consumptions. Moreover, the motivations, challenges, and representative models for these conventional algorithms are described for integrated‐intelligent communication and computing aided NGMA networks. Furthermore, the open issues and future research directions for this conceived networks are summarised.

Optimal Service Migration for Data and Reasoning Fabric

In this paper we consider migration problem for Data and Reasoning Fabric (DRF)-enabled airspace operations assuming a fixed cloud/edge infrastructure with allocated computing, storage, and power resources, where cloud/edge servers and communication stations are in a wired connected network, while vehicles use a wireless network for communication. The objective is to automatically select the best location for the requested service execution, which achieves minimum cost while satisfying the user quality of service (QoS) and available resources constraints. To this end, estimates of the response time, consumed energy, and total cost are defined for each potential compute location. A mixed-integer linear program is then formulated and solved to identify optimal compute locations given QoS constraints and network infrastructure limitations, with worst-case vehicle positioning. The approach is applied to trajectory replanning use case to avoid a collision with an emergency vehicle in real time.

Local PAPR-Aware Precoding for Energy-Efficient Cell-Free Massive MIMO-OFDM Systems

Orthogonal frequency-division multiplexing (OFDM) based Cell-free massive multiple-input multiple-output (CF-mMIMO) is the most promising technology that, compared to cellular technology, provide uniformly better quality of service for users in sub-6GHz bands. To make OFDM based CF-mMIMO more cost-effective and power-efficient, the access points (APs) should be equipped with low-cost and low-quality transceiver hardware. However, transmitting OFDM signals with high peak-to-average power ratio (PAPR) via such hardware causes severe hardware impairments (HWI), damaging the system performance. In this paper, we present an energy-efficient downlink transmission scheme adequate to the emerging CF-mMIMO-OFDM technology. Specifically, we introduce a smart PAPR-aware precoding scheme, referred to as localPAPRfree, adequate for cell-free architecture. Interestingly, the proposed technique can be implemented in a distributed and scalable manner, demonstrating benefits of CF-mMIMO-OFDM. The PAPR-aware precoding scheme is formulated as a simple convex optimization problem solved via an efficient and steepest iterative algorithm. In addition, we present a theoretical study to analyze the downlink (DL) spectral-efficiency (SE) and energy-efficiency (EE) performance of CF-mMIMO-OFDM under power amplifier (PA) non-linearity, providing important insights into the practical impact of nonlinear PA. Numerical results show that the proposed localPAPRfree algorithm offers excellent PAPR reduction performance, guaranteeing high EE.

ПІДВИЩЕННЯ ЯКОСТІ СПРИЙНЯТТЯ ВІДЕО В БЕЗПРОВІДНИХ ПРОГРАМНО-КОНФІГУРОВАНИХ МЕРЕЖАХ З ВИКОРИСТАННЯМ МУЛЬТИПІДКЛЮЧЕННЯ

This article presents a method to enhance the quality of video streaming using multi-connection in software-defined wireless networks. The method utilizes bonding technology to combine various physical network adapters into a single integrated device, effectively utilizing network resources and ensuring high-quality video transmission. The study also includes an analysis of the use of the Peak Signal-to-Noise Ratio (PSNR) as a quality perception metric and the method's response to deteriorating communication channel parameters. The results indicate that an increase in packet loss leads to a decrease in PSNR values. This is explained by the fact that packet loss introduces errors or noise into the compressed signal, reducing its accuracy compared to the original. Specifically, packet loss can be caused by insufficient network bandwidth when the volume of data attempting to pass through the network exceeds its capacity. In such cases, packet loss can lead to a deterioration in the quality of the video stream. On the other hand, packet loss due to radio signal instability may result from external factors such as obstacles or interference, which can lead to packet loss even with sufficient network bandwidth. These losses can also impact the quality of the video stream and reduce PSNR values. During the study, it was observed that an equal percentage of packet losses caused by insufficient network bandwidth and losses due to radio signal instability have different effects on image perception quality. In general, the overall research results confirm the potential for significant improvement in the quality of service for wireless network users using the proposed method, without requiring additional network resource expenditures. This can have significant practical implications for advancing network technologies and ensuring high-quality video data transmission in modern wireless networks.