Communication Quality Of Service Research Articles

Balanced Scheduling Method of Network Information Resources for Cloud Storage

In the network communication environment, the balanced scheduling of network information sharing resources can better improve the service quality of network communication. In the current network communication sharing resource balanced scheduling process, there are some problems, such as the completion time of resource scheduling is too long, the cost consumption is large, and so on. This paper proposes a balanced scheduling method of network information resources for cloud storage. By constructing the storage model of network communication shared resources, the network communication structure under big data is layered. Through the characteristic analysis of shared resource, equilibrium ratio is introduced to obtain the fitness function of network communication shared resources. The fitness function and convergence factor are used to solve the problem. The experimental results show that the network information resource balanced scheduling method for cloud storage needs shorter completion time and lower cost, which fully meets the research requirements.

Mobility and Routing based Channel Estimation for Hybrid Millimeter-Wave MIMO WSNs

Recently, technological developments have enhanced, the use of Millimeter-wave (mm-Wave) Multiple Input Multiple Output (MIMO) system in various communication applications and wireless sensor networks as channel estimation efficiency can be immensely improved with the help of this technological developments in Millimeter-wave MIMO system and wireless sensor network as well. Moreover, they can improve quality of communication services to a great extent. However, cell interference in Millimeter-wave (mm-Wave) MIMO system can produce a massive impact on spectral efficiency. Therefore, a Routing Enabled Channel Estimation (RECE) technique is presented in this article to minimize interference between cells. The proposed Channel Estimation technique improves channel capacity as well as spectral efficiency. Moreover, Normalized Mean Square Error (NMSE) is minimized heavily using proposed RECE technique. Here, main aim of this article is to reduce cell interference and channel estimation inside a cell by using route selection, beam selection, and spatial frequency estimation. Here, different scenarios and parameters are considered to evaluate performance efficiency of proposed RECE technique in terms of spectral efficiency, NMSE and SNR and compared against varied traditional channel estimation techniques. Moreover, it is clearly evident from performance results that the proposed channel estimation technique performs better than the other two methods.

Space Deployment Algorithm for UAV-IRS-Based Systems Using a Ck++ Optimizer

With the popularity of 5G mobile communication services, the number of users has increased dramatically, as well as the nonuniformity of user density distribution; many users are in nonideal channel conditions, so unmanned aerial vehicle (UAV) as a passive relay equipment platform has gradually entered people’s vision. Intelligent reflective surfaces (IRSs) capable of reconfiguring electromagnetic absorption and reflection properties in real-time are offering unprecedented opportunities to enhance wireless communication experience in challenging environments. In this paper, we start from the point of minimizing the energy consumption and nodes of UAV passive relay; the paper proposes to install intelligent reflecting surface (IRS) on UAV as a new passive relay and establish the communication coverage model of UAV-IRS. Then, the main relationship between the coverage radius and hover height of UAV-IRS is verified. In view of different distribution densities of target users, a CK++ (cyclic k -means++) is proposed to solve the spatial deployment problem of UAV-IRS, where the optimal solution of the system is obtained through cyclic clustering. And the algorithm is verified to effectively improve the performance of urban mobile communication and user communication service quality through numerical stimulation.

Improving Quality of Service in 5G Resilient Communication with the Cellular Structure of Smartphones

Recent studies in information computation technology (ICT) are focusing on Next-generation networks, SDN (Software-defined networking), 5G, and 6G. Optimal working mode for device-to-device (D2D) communication is aimed at improving the quality of service with the frequency spectrum structure is of research areas in 5G. D2D communication working modes are selected to meet both the predefined system conditions and provide maximum throughput for the network. Due to the complexity of the direct solutions, we formulated the problem as an optimization problem and found the optimal working modes under different parameters of the system through extensive simulations. After determining the links’ optimal modes, we calculated the network throughput; because of selecting the best working modes, we obtained the highest throughput. A major finding from this research is that D2D communication pairs are more inclined to use full-duplex (FD) mode in short distances to meet system requirements, and so most communications take place in FD mode at these distances. According to these results, using FD communication at short distances offers better conditions and Quality of service (QoS) than QoS-D2D method.

Relationship Of The Nurse's Work Environment With Patient Safety At Sejati Medan Partner General Hospital

Objective: Assurance of patient safety to realize the quality of health services is the responsibility of all health workers, especially nurses. Improving patient safety can reduce the risk of nosocomial infections and prevent the negative effects of nursing actions. The application of patient safety is still low due to several aspects, namely communication errors (57.7%), safety and service quality (57.4%), open communication (54.4%), management support (53.8%), and the work environment. (28.4%). An unfavorable work environment for the professional practice of nursing harms the quality of nursing care and patient safety. Methods: Analyzed the relationship between the nurse's work environment and patient safety at Mitra Sejati General Hospital, Medan. Methods: This research is a correlational analytic descriptive study with a cross-sectional approach. The study population was all nurses in the inpatient room at Mitra Sejati General Hospital, Medan, totaling 200 nurses. The sampling technique used was total sampling, by setting inclusion criteria. The study wascarried out from March to July 2022. Data analysis was carried out univariate and bivariate using the chi-square test. Results: most of the respondents stated that patient safety was well implemented (56%) and the work environment was good (64.5%). There is a significant relationship between the nurse's work environment and patient safety, p-value = 0.005. Conclusion: A good working environment for nurses ensures the optimal implementation of patient safety. Therefore, the hospital management contributes to supporting a conducive working environment for nurses by involving nurses in decision-making related to the development of nursing services, improving the ability of nurses, fulfilling nurse resources according to the required expertise

Localization and Channel Reconstruction for Extra Large RIS-Assisted Massive MIMO Systems

Reconfigurable intelligent surface (RIS) is a promising material that can passively manipulate electromagnetic waves and improve the quality of mobile communication services at a low cost. It can be made large to extend the service region and acquire the ability for localization enhancement. However, the lack of a signal processing module at the RIS makes channel estimation a difficult problem. When employing an extra large RIS, users are in the near field of the RIS and the channel shows spatial nonstationarity, making the problem more complicated. In this paper, these challenges are addressed by a low-overhead joint localization and channel reconstruction scheme proposed for extra large RIS-assisted massive multi-input multi-output systems. This scheme can accurately identify the visibility region (VR) of each user, find the user positions by exploiting the near-field characteristics, and reconstruct the channels by jointly utilizing the pilots of multiple users. Numerical results demonstrate that the identified VR covers more than 97% of the real VR, and the user localization accuracy reaches centimeter level at the millimeter-wave frequency band. A more accurate channel reconstruction result than that of existing works can also be obtained. This work verifies the great potential of RIS and is a solid step toward the integration of communication and sensing.

Hybrid RIS and DMA Assisted Multiuser MIMO Uplink Transmission With Electromagnetic Exposure Constraints

In the fifth-generation and beyond era, reconfigurable intelligent surface (RIS) and dynamic metasurface antennas (DMAs) are emerging metamaterials keeping up with the demand for high-quality wireless communication services, which promote the diversification of portable wireless terminals. However, along with the rapid expansion of wireless devices, the electromagnetic (EM) radiation increases unceasingly and inevitably affects public health, which requires a limited exposure level in the transmission design. To reduce the EM radiation and preserve the quality of communication service, we investigate the spectral efficiency (SE) maximization with EM constraints for uplink transmission in hybrid RIS and DMA assisted multiuser multiple-input multiple-output systems. Specifically, alternating optimization is adopted to optimize the transmit covariance, RIS phase shift, and DMA weight matrices. We first figure out the water-filling solutions of transmit covariance matrices with given RIS and DMA parameters. Then, the RIS phase shift matrix is optimized via the weighted minimum mean square error, block coordinate descent and minorization-maximization methods. Furthermore, we solve the unconstrainted DMA weight matrix optimization problem in closed form and then design the DMA weight matrix to approach this performance under DMA constraints. Numerical results confirm the effectiveness of the EM aware SE maximization transmission scheme over the conventional baselines.

ONLINE KIYAFET MAĞAZALARINDA ELEKTRONİK HİZMET KALİTESİ, SADAKAT VE AĞIZDAN AĞIZA İLETİŞİM TÜRLERİ İLİŞKİSİ

Bu çalışmada online kıyafet mağazalarındaki elektronik hizmet kalitesi, sadakat, sözlü ve elektronik olmak üzere ağızdan ağıza iletişim ilişkisini açıklayan model kurulacaktır. Online kıyafet alışverişi yapmış 313 kişinin anket sonuçlarına göre çalışmadaki ifadelerin kaç tane değişken oluşturacağını kapsayan keşfedici faktör analizi, kurulan hipotezleri test etmek için de doğrulayıcı faktör analizi ve yapısal eşitlik modeli kullanılmıştır. Elektronik hizmet kalitesinin sadakati pozitif yönde etkilediği diğer taraftan sözlü ağızdan ağıza iletişimin şiddetini negatif yönde etkilediği sonucuna ulaşılmıştır. Ayrıca sadakatin tüm ağızdan ağıza değişkenlerini pozitif yönde etkilediği sonucuna varılmıştır.

Health Service Quality and Patient Communication In Medical Tourism

This study investigates the perceptions of patient communication and medical service quality in relation to the demographic and occupational characteristics of medical staff working in Alanya. A significant relationship was found between perceptions of patient communication and the field of expertise of the staff and the foreign language they speak. This indicates that, in medical tourism contexts, the patient communication perceptions of medical staff affect first-hand perceptions of health service quality. To increase health service quality and patient communication motivation, it is recommended that revenues from patients or insurance companies be distributed to all staff involved with medical tourists. Furthermore, apart from doctors and nurses, staff believe health service quality and communication are low. Therefore, it is recommended to provide in-service training for this area.

Lokasi, Kualitas Layanan dan Word of Mouth Communication terhadap Keputusan Pembelian

This study aims to determine the effect of location, service quality and word of mouth communication on purchasing decisions at Bumdes Mini Market Trijaya Balung Lor. This research method is descriptive quantitative. Data collection techniques using interviews and questionnaires to 100 respondents with purposive sampling technique. The results showed, a) there was a significant influence between location on purchasing decisions with a significance level of 0.000 (p <0.05); b) there is a significant influence between service quality on purchasing decisions with a significance level of 0.000 (p <0.05); c) there is a significant influence between word of mouth communication on purchasing decisions with a significance level of 0.000 (p <0.05). In conclusion, capable location, service quality, and word of mouth communication became one of the factors driving purchasing decisions at Bumdes Trijaya Balung Lor.
 
 Keywords: Purchase Decision, Service Quality, Location, Word of Mouth Communication

Detection and quantification of anomalies in communication networks based on LSTM-ARIMA combined model.

The anomaly detection for communication networks is significant for improve the quality of communication services and network reliability. However, traditional communication monitoring methods lack proactive monitoring and real-time alerts and the prediction effect of a single machine learning model on communication data containing multiple features is not ideal. To solve the problem, A prediction-then-detection anomaly detection method was proposed, and quantitative assessment of network anomalies was developed. Specifically, anomaly-free data was obtained by eliminating outliers, and the long short-term memory (LSTM) and autoregressive integral moving average (ARIMA) were combined via residual weighting to predict the future state of the key performance indicators (KPI) without outliers. Anomalies were identified using the error comparison between the prediction and actual values, and the network condition was quantified using the scoring method. It is observed that the proposed LSTM-ARIMA hybrid model has better prediction effect, which can well represent the performance of KPIs of the future state, and the prediction-then-detection anomaly detection method has excellent performance on both precision and recall.

Connection Quality Prediction and Nonlinear Control of Power Grid Communication Wireless Network

Learn about effective and uncontrolled gambling on wireless networks. Firstly, according to the control purpose, considering the reliability requirement of microgrid for network communication, the characteristics of wireless sensor network communication quality of service in microgrid, the influence of wireless connection reliability, and the mathematical standard of wireless communication are determined. Then, according to the estimation of the occurrence time of wireless communication link reliability, the reliability of wireless sensor network communication link in a smart grid is improved based on a fuzzy nonlinear control algorithm. Finally, the security and reliability of the control system described in this paper are measured by simulation. The experimental results show that the reliability of the wireless communication estimation time estimation algorithm and the power control algorithm based on fuzzy control can estimate the reliability, shortsightedness, and accuracy of good connections in real time. By adjusting the output power of the node, the connection quality and reliability can be controlled stably.

QoS-Aware Hybrid Beamforming and DOA Estimation in Multi-Carrier Dual-Function Radar-Communication Systems

In this paper, the issues of transmit hybrid beamforming (HBF) design and direction-of-arrival (DOA) estimation in multi-carrier dual-function radar-communication (DFRC) systems, in consideration of quality-of-service (QoS) for multiple users (MUs), are investigated. In the designed system, communication symbols are embedded into radar pulse interval with multiple orthogonal waveforms, and the HBF is optimized to focus the transmit energy within the spatial sectors of interest by taking the QoS requirement for MUs into account. The problem involving these considerations is formulated as the minimization of mean squared error (MSE) between the achieved spatial spectrum and a desired one, subject to constraints of communication QoS, constant modulus, power and orthogonality. Accordingly, a consensus alternating direction method of multipliers (consensus-ADMM) framework based on weighted mean-square error minimization (WMMSE) is devised to tackle the resultant nonconvex problem. Further, the closed-form solutions of the primal variables are derived. Additionally, the MUltiple SIgnal Classification (MUSIC)-based DOA estimation with the designed HBF architecture is presented, and the corresponding Cramér-Rao bound is derived. Numerical simulations are performed to demonstrate the effectiveness of the proposed designs.

Intelligent Offloading Decision and Resource Allocations Schemes Based on RNN/DQN for Reliability Assurance in Software-Defined Massive Machine-Type Communications

The heterogeneous novelty applications present in the 5th generation (5G) era, including machine-type communication (mMTC), enhanced mobile broadband (eMBB) communication, and ultra-reliable low latency communication (URLLC), which required mobile edge computing (MEC) for local computation and services. The next-generation radio networking (NGRN) will rely on new radio (NR) with the millimeter-wavelength (mmWave) technologies that enable ultra-dense connectivities of the deployed heterogeneous mobile terminal gateways (MTG). However, the mission-critical mMTC applications will suffer from inadequate radio resource management and orchestration (MANO), which will diminish end-to-end (E2E) communication reliability in edge areas. This paper proposed optimal MTG selections and resource allocation (RA) based on the complementary between MTG loading prediction based on recurrent neural network-based long short-term memory (RNN-LSTM) and MTG loading adjustment based on the applied deep reinforcement learning (DRL) approaches, respectively. Furthermore, the RNN-LSTM enhances offloading and handover decisions with discrete-time predictions, while the DRL plays an essential role in adjusting the determined MTG during congestion situations. The proposed method contributed to remarkable outcomes in crucial performance metrics over reference approaches regarding computation and communication quality of service (QoS).

Minimizing the monetary penalty and energy cost of server migration service

AbstractCurrent IaaS (infrastructure as a service) cloud service may not satisfy communication QoS (quality of service) requirements of delay‐sensitive network applications, if there is a significant physical distance between a server of the network application (NetApp server) at a data center and its network application clients (NetApp clients). In order to improve communication QoS of NetApp clients, we propose server migration service (SMS) in this article. SMS allows NetApp servers to migrate among different locations in the network (1) to optimally locate themselves in relation to NetApp clients and mitigate the QoS degradation caused by location‐related factors (ie, propagation delays on network links) and (2) to optimally distribute traffic load over routers and processing load over (physical) computers and decrease the energy consumption. We develop a mixed‐integer programming model that determines when and to which locations NetApp servers migrate to minimize the total operating cost of SMS, that is, the sum of the monetary penalty incurred due to QoS violation and energy cost incurred due to energy consumption, while preventing NetApp servers from excessively migrating and adversely impacting QoS of the non‐SMS service that share the resource of the substrate network with SMS. Simulation results show that the model developed in this article achieves up to 42% lower total operating cost of SMS compared to the model that only minimizes the monetary penalty of SMS without considering the energy cost of SMS.

A novel coevolving differential evolution and its application in intelligent device-to-device communication systems

Due to the increasingly demand of wireless broadband applications in modern society, the device-to-device (D2D) communication technique plays an important role for improving communication spectrum efficiency and quality of service (QoS). This study focuses on the optimal allocation of link resource in D2D communication systems using intelligent approaches, in order to obtain optimal energy efficiency of D2D-pair users (DP) and also ensure communication QoS. To be specific, the optimal resource allocation (ORA) model for ensuring the cooperation between DP and cellular users (CU) is established, and a novel coding strategy of ORA model is also proposed. Then, for efficiently optimizing the ORA model, a novel swarm-intelligence-based algorithm called the dynamic topology coevolving differential evolution (DTC-DE) is developed, and the efficiency of DTC-DE is also tested by a comprehensive set of benchmark functions. Finally, the DTC-DE algorithm is employed for optimizing the proposed ORA model, and some state-of-the-art algorithms are also employed for comparison. Result of case study shows that the DTC-DE outperforms its competitors significantly, and the optimal resource allocation can be obtained by DTC-DE with robust performance.

Space-Time Block Coded Spatial Modulation for Indoor Visible Light Communications

Visible light communication (VLC) has been recognized as a promising technology for handling the continuously increasing quality of service and connectivity requirements in modern wireless communications, particularly in indoor scenarios. In this context, the present work considers the integration of two distinct modulation schemes, namely spatial modulation (SM) with space time block codes (STBCs), aiming at improving the overall VLC system reliability. Based on this and in order to further enhance the achievable transmission data rate, we integrate quasi-orthogonal STBC (QOSTBC) with SM, since relaxing the orthogonality condition of OSTBC ultimately provides a higher coding rate. Then, we generalize the developed results to any number of active light-emitting diodes (LEDs) and any <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$M$</tex-math></inline-formula> -ary pulse amplitude modulation size. Furthermore, we derive a tight and tractable upper bound for the corresponding bit error rate (BER) by considering a simple two-step decoding procedure to detect the indices of the transmitting LEDs and then decode the signal domain symbols. Notably, the obtained results demonstrate that QOSTBC with SM enhances the achievable BER compared to SM with repetition coding (RC-SM). Finally, we compare STBC-SM with both multiple active SM (MASM) and RC-SM in terms of the achievable BER and overall data rate, which further justifies the usefulness of the proposed scheme.

On the issue of material provision of personnel of the Civil service of special communication and information protection of Ukraine

The article considers the issue of material support of the personnel of the State Service for Special Communications and Information Protection of Ukraine. It is noted that the social security of its personnel has a significant impact on the quality and efficiency of the State Service for Special Communications and Information Protection of Ukraine. One of the areas of social protection is called material, which is that, in addition to the actual financial support in the form of wages, they can receive additional material support, which includes a number of allowances, surcharges, bonuses and compensations that can claim civil servants provided that they meet certain criteria specified in the legislation. It is noted that the material direction of social protection of this category of workers is characterized by the following features: it is realized in the form of allowances, surcharges, bonuses and compensations; the size of such types of social protection is either directly provided by law or determined directly by the head of the civil service; the types of material direction of social protection of employees, in fact, are components of their wages and are introduced in order to provide additional social protection given the functions they perform and the risks they face.&#x0D; It is concluded that the material support of the personnel of the State Service for Special Communications and Information Protection of Ukraine consists of allowances, surcharges, bonuses and compensations, the amounts of which are directly provided by law or determined directly by the head of the civil service and are part of their salaries social protection. The signing by the President of Ukraine of the Decree on the decision of the National Security and Defense Council of Ukraine of October 22, 2021 "On the Concept of reforming the State Service for Special Communications and Information Protection of Ukraine" is a step in the right direction. and information protection of Ukraine needs improvement.

Design and implementation of energy-aware cross-layer routing protocol for wearable body area network

PurposeA wireless body area network (WBAN) plays a crucial role in the health-care domain. With the emergence of technologies like the internet of things, there is increased usage of WBAN for providing quality health services. With wearable devices and sensors associated with human body, patient’s vital signs are captured and sent to doctor. The WBAN has number of sensor nodes that are resource constrained. The communications among the nodes are very crucial as human health information is exchanged. The purpose of this paper aims to have Quality of Service (QoS) with energy aware and control overhead aware. Maximizing network lifetime is also essential for the improved quality in services. There are many existing studies on QoS communications in WBAN.Design/methodology/approachIn this paper, with the aim of energy-efficient WBAN for QoS, a cross-layer routing protocol is designed and implemented. A cross-layer routing protocol that is ad hoc on-demand distance vector (AODV)-based, energy and control overhead-aware (AODV-ECOA) is designed and implemented for energy-efficient routing in WBAN. The cross-layer design that involves multiple layers of open systems interconnection reference model, which will improve energy efficiency and thus QoS.FindingsImplementation is simulated using the network simulator tool, i.e. NS-2. The proposed cross-layer routing protocol AODV-ECOA shows least bandwidth requirement by control packets, leading to less control overhead, highest packet delivery ratio and energy efficiency. The experimental results revealed that AODV-ECOA shows better performance over existing protocols such as AODV and POLITIC.Originality/valueAn efficient control overhead reduction algorithm is proposed for reducing energy consumption further and improves performance of WBAN communications to realize desired QoS.

QoS Aware Robot Trajectory Optimization With IRS-Assisted Millimeter-Wave Communications

This paper considers the motion energy minimization problem for a robot that uses millimeter-wave (mm-wave) communications assisted by an intelligent reflective surface (IRS). The robot must perform tasks within given deadlines, and it is subject to quality of service (QoS) constraints. This problem is crucial for fully automated factories governed by the binomial of autonomous robots and new generations of mobile communications, i.e., 5G and 6G. In this new context, robot energy efficiency and communication reliability remain fundamental problems that couple in optimizing robot trajectory and communication QoS. More precisely, to account for the mutual dependency between robot position and communication QoS, robot trajectory and beamforming at the IRS and access point all need to be optimized. We present a solution that can decouple the two problems by exploiting mm-wave channel characteristics. Then, a closed-form solution is obtained for the beamforming optimization problem, whereas the trajectory is optimized by a novel successive-convex optimization-based algorithm that can deal with abrupt line-of-sight (LOS) to non-line-of-sight (NLOS) transitions. Specifically, the algorithm uses a radio map to avoid obstacles and poorly covered areas. We prove that the algorithm can converge to a solution satisfying the Karush-Kuhn-Tucker conditions. The simulation results show a fast convergence rate of the algorithm and a dramatic reduction of the motion energy consumption with respect to methods that aim to find maximum-rate trajectories. Moreover, we show that passive IRSs represent a powerful solution to improve the radio coverage and motion energy efficiency of robots.