High Quality Data Transmission Research Articles

Research on network interference problems in intelligent manufacturing

Abstract As the smart manufacturing industry continues to grow, ensuring high-quality data transmission has become especially critical. In wireless communication networks, numerous sources of interference exist, especially significant in restricted space environments such as factories. These areas are subject to signal interference from same-frequency devices and interference from multipath propagation due to signal reflection in buildings. In order to guarantee the communication quality of smart manufacturing systems, reducing network interference in such spaces is a prerequisite; therefore, it becomes crucial to reduce various network interferences. In this study, a scheme combining orthogonal frequency division multiplexing (OFDM) and multiple-input multiple-output (MIMO) techniques is proposed to cope with the interference problem of the network in the smart manufacturing process.

Immersive remote telerobotics: foveated unicasting and remote visualization for intuitive interaction

Abstract Precise and efficient performance in remote robotic teleoperation relies on intuitive interaction. This requires both accurate control actions and complete perception (vision, haptic, and other sensory feedback) of the remote environment. Especially in immersive remote teleoperation, the complete perception of remote environments in 3D allows operators to gain improved situational awareness. Color and Depth (RGB-D) cameras capture remote environments as dense 3D point clouds for real-time visualization. However, providing enough situational awareness needs fast, high-quality data transmission from acquisition to virtual reality rendering. Unfortunately, dense point-cloud data can suffer from network delays and limits, impacting the teleoperator’s situational awareness. Understanding how the human eye works can help mitigate these challenges. This paper introduces a solution by implementing foveation, mimicking the human eye’s focus by smartly sampling and rendering dense point clouds for an intuitive remote teleoperation interface. This provides high resolution in the user’s central field, which gradually reduces toward the edges. However, this systematic visualization approach in the peripheral vision may benefit or risk losing information and burdening the user’s cognitive load. This work investigates these advantages and drawbacks through an experimental study and describes the overall system, with its software, hardware, and communication framework. This will show significant enhancements in both latency and throughput, surpassing 60% and 40% improvements in both aspects when compared with state-of-the-art research works. A user study reveals that the framework has minimal impact on the user’s visual quality of experience while helping to reduce the error rate significantly. Further, a 50% reduction in task execution time highlights the benefits of the proposed framework in immersive remote telerobotics applications.

Adaptive ubiquitous learning for server deployment and distributed offloading in UAV-enhanced IoV

Through creating an environment rich in computational and communication capabilities, ubiquitous computing gradually integrates it with human activities. Inspired by adaptive ubiquitous learning, various intelligent devices (e.g., roadside units and infrared sensors) deployed in the Internet of Vehicles (IoV) are expected to be critical to mitigating urban traffic congestion and enhancing travel safety. In addition, benefiting from the advantages of high mobility and real-time response, Unmanned Aerial Vehicles (UAVs) embody substantial prospects to assist IoV in efficiently and flexibly handling latency-sensitive, computation-intensive tasks. Nevertheless, due to time-varying demands and heterogeneous computing resources, it is challenging to provide effective service for mobile devices while guaranteeing high-quality data transmission. Therefore, a distributed service offloading system framework in UAV-enhanced IoV is designed. To minimize the service latency, a game theory-based distributed service offloading algorithm, named G-DSO, is proposed to realize adaptive ubiquitous learning for service request distribution. Finally, numerous experiments are implemented based on real-world service requirement datasets. Experimental results demonstrate that the proposed G-DSO approach improves the hit rate by 2.68% to 74.42% compared with four existing service offloading methods, verifying the effectiveness and good scalability of G-DSO.

Ultra High multi channel clock frequency(THz, PHz, EHz, ZHz,YHz,XHz,WHz) baud rate speed PRBS Transceiver HDL RTL ASIC Design for Ultra High long Distance Wireless Communication Engineering Smart Computing Products/ Applications

The Key Objective is HDL RTL Design Architecture of Ultra high multi Clock Frequency Speed Rate ( MHz, GHz, THz, PHz, EHz, ZHz, etc) Bits Per Second Baud Rate ) P.R.B.S(Pseudo Random Binary Sequence) Transceiver Soft A.S.I.C IP Core product for identification of the property of Different Pseudo Random Binary Sequence Patterns (Seed Words) of 2e 7 -1, 2e10 -1, 2e 15 -1, 2e 23 -1, 2e 31 -1 tapped elements as per C.C.I.T.T-I.T.U Standards and IEEE-754 Single and Double Data Rate Data Precision Standards (32 bit & 64 Bit Data Width ) suited for Very Advanced Futuristic Hi-tech Smart High Speed Long Distance Wireless Digital Communication A.S.I.C Products / Applications like Space/Satellite, Aerospace and Large Data Processing and computing like High Speed Internet and Cloud Computing based Hi-Fi Industrial Data Automation Standard Ultra High Speed Wireless Communication A.S.I.C products and Applications-3G,4G,5G etc. The Multi channel PRBS Transceiver consists Transmitter and receiver of different PRBS patterns- 2e7 -1, 2e10 -1, 2e15 -1, 2e23 -1, 2e31 -1 NRZ. The data input transmitted and received serially in the form bit by bit. These different pattern sequences are Designated as per CCITT ITU 0.151/O.152/O.153 & AT&T Standards. The Aim and purpose of invention of Ultra high multichannel Clock frequency PRBS Transceiver is for transmit and receive data serially by using Tx_in and Tx_out, rxin, rxout signals and The Transceiver is processed the low frequency signal input with different high speed carrier wave frequencies in the form of different PRBS pseudo random binary sequence seed word bit/byte patterns -2e7 -1, 2e10 -1, 2e15 -1, 2e23 -1, 2e31 -1 NRZ and also on receiver side processed with the above patterns. Materials and Methods: Transmission and reception of Data serially based on the Deterministic random seed word pattern methods of different PRBS 2e7 -1, 2e10 -1, 2e15 -1, 2e23 -1, 2e31 -1 tapped sequence Elements and All these PRBS are purely synchronized with Ultra high clock frequency(MHz, GHz, THz, PHz, EHz, ZHz, YHz, XHz, WHz). The Soft IP Core Designed by System Verilog HDL/ Verilog HDL. RTL Design Simulation done by Synopsys VCS 2020.1 software and Altera Model-Sim Software and Logic Design Flow & Synthesis done by Xilinx ISE and Altera Quartus EDA Tools. Results: Generation of Simulation Display and waveform for Ultra High Clock frequency(MHz, GHz, THz, PHz, EHz, ZHz, YHz, XHz, WHz) Synchronized Pseudo Random Binary Sequence (PRBS) Register Transfer Level (RTL) Generators, Transceiver for efficient and effective High Quality Data transmission and Reception of Various tapped sequence patterns for Identification of property of different PRBS patterns2e7 -1, 2e10-1, 2e15-1, 2e23 -1, 2 31 -1 NRZ of Ultra high speed Long distance wireless engineering Applications/ products.

Software-Defined Networking-Based Campus Networks Via Deep Reinforcement Learning Algorithms: The Case of University of Technology

As a consequence of the COVID-19 pandemic, networks need to be adopted to satisfy the new situation. People have been introduced to new modes of working from home, attending teleconferences, and taking part in e-learning. Other technologies, including smart cities, the Internet of Things, and simulation tools, have also seen a rise in demand. In the new situation, the network most affected is the campus network. Fortunately, a powerful and flexible network model called the software-defined network (SDN) is currently being standardized. SDN can significantly improve the performance of campus networks. Consequently, many scholars and experts have focused on enhancing campus networks via SDN technology.
 Integrating deep reinforcement learning (DRL) with SDN is pivotal for advancing the quality of service (QoS) of contemporary networks. Their integration enables real-time collaboration, intelligent decision making, and optimized traffic flow and resource allocation.
 The system proposed in this research is a DRL algorithm applied to a campus network—the University of Technology—and investigated as a case study. The proposed system employs a two-method approach for optimizing the QoS of a network. First, the system classifies service types and directs TCP traffic by using a deep Q-network (DQN) for intelligent routing; then, UDP traffic is managed using the Dijkstra algorithm for shortest-path selection. This hybrid model leverages the strengths of machine learning and classical algorithms to ensure efficient resource allocation and high-quality data transmission. The system combines the adaptability of DQN with the proven reliability of the Dijkstra algorithm to enhance dynamically the network performance.
 The proposed hybrid system, which used DQN for TCP traffic and the Dijkstra algorithm for UDP traffic, was benchmarked against two other algorithms. The first algorithm was an advanced version of the Dijkstra algorithm that was designed specifically for this study. The second algorithm involved a Q-learning (QL)-based approach. The evaluation metrics included throughput and latency. Tests were conducted under various topologies and load conditions.
 The research findings revealed a clear advantage of the hybrid system in complex network topologies under heavy-load conditions. The throughput of the proposed system was 30% higher than the advanced Dijkstra and QL algorithms. The latency benefits were pronounced, with a 50% improvement over the competing algorithms.

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.

РОЗРОБКА МОБІЛЬНОЇ КІБЕРФІЗИЧНОЇ СИСТЕМИ ІНТЕЛЕКТУАЛЬНОГО МОНІТОРИНГУ КЛІМАТИЧНИХ ПАРАМЕТРІВ

The development of Mobile Cyber-Physical Systems (MCPS) is a promising research and development direction for many industries, such as manufacturing, healthcare, home automation, and many others. That is why a prototype MCPS based on a smartphone has been developed to collect, process, and transmit data from various devices and sensors in real-time, anywhere. The architecture of a mobile cyber-physical system for monitoring climatic parameters with telegram notifications has been designed. An algorithm for intelligent analysis and optimization of data transmission processes has been proposed for the developed MCPS prototype. The advantage of the developed system is the ability to determine the priority of monitoring parameters, which allows for a quick response to critical temperature changes at the object where the measurements are taken. Additionally, a unique method for measuring end-to-end data transmission delay using a timestamp in the packet header metadata has been implemented. This method enables the determination of the processing time of each component of the MCPS and, in case of exceeding the norms, automatically notifies about the necessary control decisions. Supporting such a method in MCPS is a particularly effective solution for monitoring the quality of real-time service delivery in critical infrastructure objects. Based on the conducted research, it has been established that the proposed algorithm for intelligent data analysis and optimization has reduced the number of messages by 3 times and the amount of transmitted information by 2.3 times. In the future, the developed system, in combination with artificial intelligence, will ensure reliable and high-quality data transmission even in unpredictable situations, making it a promising solution for improving the quality of life and the efficiency of smart infrastructures in various fields.

A feasibility study of multi-mode intelligent fusion medical data transmission technology of industrial Internet of Things combined with medical Internet of Things

As a branch of the Internet of Things (IoT) dedicated to medical care industry, the Internet of Medical Things (IoMT) includes networking devices and applications for medical and health information technology applications. The IoMT still has many shortcomings, such as unstable information transmission, low accuracy of fault diagnosis and classification, and lack of anomaly detection capability. Therefore, this paper first comprehensively describes some relatively new research and popular background technologies of the Industrial Internet of Things (IIoT) and IoMT, and then, according to the functional requirements analysis of the intelligent data transmission system based on IoMT, we discuss in detail the problems of fault diagnosis and resource allocation faced in the IoMT model. An intelligent data transmission model is proposed to apply the wireless communication transmission technology of the industrial Internet of Things to the Internet of Medical Things scene. This model has the ability of high-quality data transmission, high accuracy accident diagnosis classification and real-time anomaly monitoring, which makes up for the shortcomings of traditional IoMT models. In particular, for the accident diagnosis and classification functions in this model, we innovatively adopt the multi-mode data fusion CNN algorithm. The experimental results show that the classification accuracy of the accident diagnosis results is effectively improved. Compared with other algorithms, this model with multi-mode data fusion CNN algorithm improves the data transmission rate, reduces the average data delay, and improves the real-time anomaly monitoring capability of IoMT without increasing the signal leakage rate, thus further improving the overall stability of IoMT.

Organization of High-Quality and Safe Data Transmission in Communication Systems and Radio Access of Marine Robotic Complexes

To date, the issue of developing marine robotic systems for solving various professional tasks of military and civilian purposes is being updated. However, the key aspect of using these systems is the provision of communication, which includes many features and difficulties. The main purpose of the current article is to analyze the trends and prospects for the development of communication systems at marine robotic complexes. The author attempts to make a comprehensive analysis and systematization of knowledge concerning the technical aspects of the organization of communication on marine robotic complexes. The scientific significance of the work lies in the possibility of using the obtained materials as a theoretical basis for further scientific research aimed at developing more efficient communication systems. As a result of the work, the main aspects and solutions for the formation of high-quality and safe data transmission in communication systems and radio access of marine robotic complexes are considered. The scientific novelty of the work lies in the proposal of a solution for the organization of technical data protection in communication systems of marine robotic complexes. The author examines the schematic diagrams of the organization of radio communications and possible ways of integrating information security systems. The scientific value of the work consists in the possibility of using the presented materials for the subsequent implementation of the presented ideas in practice. The main result of the work is the formation of a scientific and theoretical base in the aspects of the formation of data protection in cellular mobile networks on the example of marine robotic complexes. As a solution, it is proposed to use the channel reservation method based on the use of the AnCom RM/E modem. The paper presents the theoretical and algorithmic aspects of the integration of this solution in mobile cellular networks.

The Secure Data Transmission Method of a Cellular Communication Network Based on the Asymmetric Encryption Algorithm

In order to improve the cellular network communication security and achieve a high quality data transmission, this paper proposes a method of secure data transmission. The proposed method is based on asymmetric encryption algorithm. This paper analyzes the composition structure of cellular network to establish the network architecture model and master the communication characteristics. The public key system is constructed using the certification center, service provider and users, and the asymmetric encryption process. The public key system is analyzed to obtain the encrypted cipher-text by optimizing the integer grouping method. Overall, results show that the proposed research achieves a higher throughput, and reduces bit error rate compared to the state-of-the-art methods. Results and findings suggest that the proposed transmission method can improve reduce the probability of data theft, and reduces transmission energy consumption to ensure data transmission security from multiple aspects.

Time-Synchronized Control of Chaotic Systems in Secure Communication

High-quality data transmission synchronization process is frequently expected in light of secure communication mechanisms (SCMs), especially for space laser communication among the satellite constellation. To improve security and reliability during the data transmission processes prominently, control problems of chaotic synchronization synchronously <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">at the same time</i> are explored. In this paper, several novel error synchronization control protocols are proposed to solve these problems. First, by introducing a norm-normalized sign function (NNSF), unique (fixed-) time-synchronized stability is manifested, such that all non-zero state elements reach the origin synchronously at the same time. And upper bounds of synchronous resident time calculated by offered protocols are irrelevant/relevant to initial states of the error systems. Second, integrated with the (fixed-) time-synchronized stability theories, the (fixed-) time-synchronized sliding mode controllers with special convergent performance are established for two representative types of chaotic systems. Third, the ratio-persistent performance plays a dominating role for simultaneous convergence of the errors. Further, the innovation of the algorithms is reflected in that the decrypted signal is completely consistent with the transmitted message signal within synchronized settling time. Finally, in the simulation, not only theoretical verifications, but also practical verifications of image encryption and decryption processes verify the effectiveness of the SCMs.

Joint Code Rate Compatible Design of DP-LDPC Code Pairs for Joint Source Channel Coding Over Implant-to-External Channel

A CM2-S3 transmission link in wireless body area networks (WBAN) is implemented with a joint source channel coding (JSCC) system based on double protograph low-density parity-check (DP-LDPC) code pairs with high reliability and low power consumption. For the practicality and suitability considerations, the <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 differential chaos shift keying scheme is introduced to modulate the CM2-S3 channel with better performance than the standard modulations in WBAN. Due to the non-Gaussian-like distribution of the CM2-S3 channel model, the initial joint protograph extrinsic information transfer (JPEXIT) algorithm does not work as a coding analysis tool. To solve this problem, a numerical Gaussian approximation is employed to modify the iterative mutual information function of the JPEXIT for achieving more precise output. Then, a joint code rate compatible (JCRC) method, designed with compatibility in resisting variable channel variances and adapting different source statistics, is proposed for optimizing the DP-LDPC code pairs. Based on the JCRC method, the code searching algorithm is simplified with lower complexity because of the reduced cycle-index. The simulation results show that optimized code pairs have better bit-error ratio performances compared to existing codes, which provides a strong technical support to promote high-quality data transmission in eHealthcare on the physical layer.

Management of Telecommunication Operator Services in Serbia – Case Study Eastern Serbia

The development of telecommunication technology in the last three or more decades has created the conditions for high quality and high speed data transmission between physically separated devices (central computers, terminals, mobile devices). Telecommunication can be defined as the electronic connection of physically (geographically) remote computers, and the telecommunication system as a component of compatible telecommunication devices connecting physically separated devices that can transmit text, image, audio and video information. The paper focuses on the choice of telecommunication providers in Serbia. It examines the attitudes of service users and what influences their choice of a particular mobile network. Consumer attitudes can influence the improvement of service management of mobile operators in Serbia. The paper represents a modest contribution to the use of telecommunication technologies to improve the existing offer on the market of mobile operators in Serbia and especially in the eastern region of the country. The city of Zajecar, the largest city in the eastern region of Serbia, is included in the study as a representative example.

An Adaptive CMT-SCTP Scheme: A Reinforcement Learning Approach

With the continuous increase of end users and types of services, the scale of the network has shown explosive growth, which has brought tremendous pressure and challenges to network data transmission. How to achieve high-quality data transmission has become a core issue. Single-path transmission has been difficult to meet the above requirements. The concurrent multipath transfer extension for stream control transmission protocol (CMT-SCTP), which supports multipath and independent data streams, can solve this problem. However, the current transmission path assessment scheme has too large granularity to make full use of the resources of the transition zone. Most studies ignore the different requirements of different services, a single transmission strategy, and the lack of an intelligent dynamic adjustment mechanism. Therefore, we designed a QCMT(Q-learning based CMT-SCTP) scheduling method. This method considers the multi-dimensional characteristics of the path and the characteristic preferences of different services, periodically evaluates and trains the reinforcement learning model for service adaptation, and makes scheduling decisions dynamically. Experimental results show that dynamic scheduling based on path parameters and service preferences can reduce message delay and improve network throughput.

Principles of the transition from 4G LTE to 5G

Information has become one of the key concepts of the modern world. Hundreds of methods are being developed every day to store, process, and use it. But, one way or another, timely and high-quality data transmission always comes to the fore. If 10 years ago a stationary computer connected to the Internet was able to meet the needs of a person, now we often need to transmit some information in the situation here and now. And then mobile technologies come to the rescue.

A 1.55-to-32-Gb/s Four-Lane Transmitter with 3-Tap Feed Forward Equalizer and Shared PLL in 28-nm CMOS

This paper presents a fully integrated physical layer (PHY) transmitter (TX) suiting for multiple industrial protocols and compatible with different protocol versions. Targeting a wide operating range, the LC-based phase-locked loop (PLL) with a dual voltage-controlled oscillator (VCO) was integrated to provide the low jitter clock. Each lane with a configurable serialization scheme was adapted to adjust the data rate flexibly. To achieve high-speed data transmission, several bandwidth-extended techniques were introduced, and an optimized output driver with a 3-tap feed-forward equalizer (FFE) was proposed to accomplish high-quality data transmission and equalization. The TX prototype was fabricated in a 28-nm CMOS process, and a single-lane TX only occupied an active area of 0.048 mm2. The shared PLL and clock distribution circuits occupied an area of 0.54 mm2. The proposed PLL can support a tuning range that covers 6.2 to 16 GHz. Each lane’s data rate ranged from 1.55 to 32 Gb/s, and the energy efficiency is 1.89 pJ/bit/lane at a 32-Gb/s data rate and can tune an equalization up to 10 dB.

Optimal Design of Joint Protomatrix for DP-LDPC Codes-Based JSCC System Over on-Body Channel

A high-quality data transmission scheme in wireless body area networks is implemented by a joint source-channel coding (JSCC) system with $M$ -ary differential chaos shift keying modulation over an on-body channel. Current DP-LDPC code pairs, which have shown good bit-error ratio performance over additive white Gaussian noise channel and Rayleigh fading channel, cannot perform well over on-body channel. In this paper, the DP-LDPC codes are redesigned for the JSCC system with new methods depending on the on-body channel characteristics. A protomatrix dimension-restrictive searching algorithm for DP-LDPC codes in the JSCC system is proposed according to the on-body channel bandwith and source statistic, which is effective to predesign the dimension of the code pair for a new JSCC system. In this way, the source-channel code rates are appropriately allocated to leave more source redundancy for improving the error floor. Moreover, the joint protomatrix is reconstructed into two kinds of compact structures by simplifying the edge linking relationships and modifying joint protograph extrinsic information transfer algorithm, which decreases the induction of searching entries to further accelerate the code searching speed. The searched code pairs show better bit-error ratio performances compared with existing DP-LDPC codes. The power consumption in the new joint coding system is lower than the separate coding system in WBAN on the physical layer.

GCH-MV: Game-Enhanced Compensation Handover Scheme for Multipath TCP in 6G Software Defined Vehicular Networks

The latest developments in terms of self-driving technologies have increased the demand for high quality data transmission in vehicular networks. However, frequent handovers among the Road Side Units (RSUs) cause degradation of data transmission performance, especially in the context of high-speed mobility. In order to address this problem, a novel game-enhanced compensation handover scheme (GCH-MV) for multipath TCP in 6G software defined vehicular networks is proposed. An innovative system architecture which integrates 6G communication solutions, SDN and multipath techniques is presented. GCH-MV redesigns the fluid model of Multipath TCP (MPTCP) to compensate for the declining throughput by using multiple paths. GCH-MV transfers traffic quickly between different paths, adapting the transmission to path quality and maintain high throughput. In addition, an innovative game-based optimal candidate RSU selection algorithm, employed by GCH-MV during the handover process, is also introduced. GCH-MV uses these solutions to achieve its goal to mitigate the negative impact of handover as much as possible and make the handover process smooth and transparent. Experimental results show how GCH-MV outperforms the existing solutions in terms of several quality of service (QoS) metrics, addressing efficiently the data transfer quality problem during handover in highly mobile vehicular networks.

Analog Radio-over-Fiber-Aided Optical-Domain MIMO Signal Processing for High-Performance Low-Cost Radio Access Networks

Wireless communication is facing an ever increasing thirst for high-quality data transmission. However, this imposes high demands on the radio access networks (RANs), where optical fiber has been widely used for both the backhaul and fronthaul. However, the explosive escalation of wireless tele-traffic tests the limits of the RAN's revenue vs. cost trade-off, which motivates low-cost designs. Hence, we present a cost-efficient but high-performance radio over fiber (RoF)-aided RAN concept. We commence by introducing this motivation, followed by a brief introduction to analog RoF (A-RoF) and digitized RoF (D-RoF), as well as to wireless multiple-input multiple-output (MIMO) techniques. Then we present the centralized RAN (C-RAN) concept relying on A-RoF-aid-ed MIMO signal processing, where the MIMO signal is carried by fiber and processed optically in a central unit. Subsequently, we focus our attention on a C-RAN small cell application followed by our performance vs. cost analysis of the A-RoF system compared to that of its baseband counterparts, demonstrating that the A-RoF design is capable of reducing the RAN's total cost while meeting the Third Generation Partnership Proj-ect's requirements.

An Adaptive-Phasor Approach to PMU Measurement Rectification for LFOD Enhancement

In this paper, we propose an integral data rectification strategy for phasor measurement units (PMUs) in multi-area power systems, comprising local data processing and central data recovery modules. The local data processing is designed for the purpose of detecting and eliminating false PMU measurements, which is performed in a decentralized manner, based on our previously developed dynamic state estimation technique; whereas the data recovery is performed in a centralized manner at the control center, based on a newly proposed adaptive-phasor approach. The recovered PMU measurements are then utilized in a low-frequency oscillation damping enhancement scheme, which is achieved by a modified proportional-integral (PI) power system stabilizer (PSS) mechanism embedded in the automatic voltage regulator structure of a synchronous generator. Control parameters of the PI-PSS are optimized by maximizing the critical damping ratio of the power system. This paper is intended to make a contribution to the need of high-quality data transmission in modern power grids with contemporary measuring technologies.