Broadband Wireless Research Articles

Analysis of NR and LTE Target Signal Structure Based on Neural Network Approach and Deep Learning Methods

Purpose: the rapid development and consolidation of broadband wireless access networks of the fourth 4G LTE and fifth 5G NR generations determine the need to find ways to reuse frequencies. A well-known solution to this problem is the concept of cognitive radio. The use of artificial intelligence in radio networks in general and the use of a neural network approach with deep learning for recognizing signals of LTE and NR standards in particular have serious potential for the practical implementation of frequency resource reuse according to the concept of cognitive development. The aim of the work: is to analyze models, methods and algorithms that allow recognizing signals of the NR and LTE standards based on recording samples of radio signals obtained using pre-recorded NR and LTE signals in MatLab software. In this paper, the procedures for scanning and recognizing sections of the spectrum are considered. The operations of training a semantic segmentation network for the identification of these signals in a broadband spectrogram and the use of a trained network for subsequent spectrum sensing and recognition of signals of the NR and LTE standards are investigated. Methods: the method used to test the concept of cognitive radio is spectrum sensing, which results in information about the occupancy of frequency bands in a given location by primary users, and the identification of spectrum sections available for use by secondary users without interfering with the work of primary users in real time. The novelty of the work is the use of a neural network approach in the analysis of the target NR and LTE signal. Results: the model, trained on the basis of a neural network approach and deep learning methods, is able to distinguish between signals of the NR and LTE standards. Theoretical / Practical relevance: the software implementation of spectral sensing is implemented using an extension package in the MatLab environment and allows for experimental testing of a cognitive radio receiver when performing procedures for analyzing the structure of the target signal of the NR and LTE standards based on a neural network approach and deep learning methods.

The divide between us: internet access among people with and without disabilities in the post-pandemic era

The COVID-19 pandemic highlighted the importance of internet access across various aspects of life, from remote work and online education to healthcare services and social connections. As we transition to a post-pandemic era, a pressing need arises to update our understanding of the multifaceted nature of internet access. This study is one of the first attempts to do so. Using survey data from New Zealand adult internet users (n = 960), it compares internet connection types, frequency of internet use at home, social media use, and concerns about online risk between people with and without disabilities. Results show people with disabilities have restricted fibre access and higher wireless broadband (a much slower connection type). People with disabilities use social media platforms less and are more concerned about certain online risks. The findings highlight persistent disparities in internet access for people with disabilities in the post-pandemic era. Implications of the study are discussed.

Coverage and Performance Evaluation of Multibeam Stratospheric Platforms Wireless Broadband Services

Coverage and Performance Evaluation of Multibeam Stratospheric Platforms Wireless Broadband Services

A systematic review of design and performance enhancement techniques for the reduction of radar cross section in multiple input multiple output antennas

multiple-input multiple-output technology has emerged as a pivotal solution for addressing the capacity constraints of high-speed broadband wireless networks. By employing multiple antennas at both the transmitter and receiver, multiple-input multiple-output significantly enhances wireless communication efficiency. This paper presents a comprehensive review of multiple-input multiple-output antenna design strategies tailored for fifth-generation (5 G) networks and beyond. Specifically, it critically examines methodologies aimed at mitigating radar cross section in multiple-input multiple-output antennas, a crucial aspect of antenna engineering, especially in scenarios requiring reduced detectability. Various design and performance enhancement techniques proposed in the literature for RCS reduction in multiple-input multiple-output antennas are systematically analyzed, focusing on aspects such as antenna geometry and materials methods. Synthesizing these findings provides valuable insights into the current state of research, highlighting advancements, challenges, and future directions in developing efficient multiple-input multiple-output antennas with minimized radar cross section. This review contributes to antenna technology by aiding researchers and practitioners in informed decision-making regarding radar cross section reduction techniques for multiple-input multiple-output systems, and it identifies innovative approaches pertinent to multiple-input multiple-output applications. Finally, key considerations in multiple-input multiple-output antenna design are addressed, proposing potential directions for future research and development initiatives.

Network Optimization using Real Time Polling Service With and Without Relay Station in WiMAX Networks

IEEE 802.16 can be seen as a compelling replacement for conventional broadband technologies because its primary goal is to provide Broadband Wireless Access (BWA). The variable and uncertain nature of wireless networks makes it much more challenging to ensure QoS in this network. WiMAX Technology is used to support various quality of services which includes UGS, rtps, nrtps, ertps and Best Effort. This study employs an IEEE 802.16 network simulator, which offers adaptable and reliable features for assessing a particular QoS parameters for rtps. Achieving better internet performance in real time services is a challenge now a days, and it is also need of present scenario. This work emphasized on better internet service with good quality of service using rtps with Relay Station and Without Relay Station. In this work the CBR packet size, CBR data rate and data rate with rtps service are fine-tuned for achieving the better performance with good quality of service. When comparing uplink connections in rtps with and without relay station, it is found that the throughput in the uplink is 200% greater when using a relay station. The throughput and goodput are evaluated in uploading and downloading with single and multiple subscriber stations and observed that the multiple subscriber stations in downloading give better performance as compare to single subscriber stations. The throughput and goodput in single subscriber stations is better than multiple subscriber station in uploading. the Academic researchers and commercial developers can use this analysis to validate different WiMAX Network implementation mechanisms and parameters.

RadioSED I: Bayesian inference of radio SEDs from inhomogeneous surveys

Abstract We present here RadioSED, a Bayesian inference framework tailored to modelling and classifying broadband radio spectral energy distributions (SEDs) using only data from publicly-released, large-area surveys. We outline the functionality of RadioSED, with its focus on broadband radio emissions which can trace kiloparsec-scale absorption within both the radio jets and the circumgalactic medium of Active Galactic Nuclei (AGN). In particular, we discuss the capability of RadioSED to advance our understanding of AGN physics and composition within youngest and most compact sources, for which high resolution imaging is often unavailable. These young radio AGN typically manifest as peaked spectrum (PS) sources which, before RadioSED, were difficult to identify owing to the large, broadband frequency coverage typically required, and yet they provide an invaluable environment for understanding AGN evolution and feedback. We discuss the implementation details of RadioSED, and we validate our approach against both synthetic and observational data. Since the surveys used are drawn from multiple epochs of observation, we also consider the output from RadioSED in the context of AGN variability. Finally, we show that RadioSED recovers the expected SED shapes for a selection of well-characterised radio sources from the literature, and we discuss avenues for further study of these and other sources using radio SED fitting as a starting point. The scalability and modularity of this framework make it an exciting tool for multiwavelength astronomers as next-generation telescopes begin several all-sky surveys. Accordingly, we make the code for RadioSED, which is written in python, available on Github.

Analisis Kepuasan Konsumen Menggunakan Metode Algoritma C4.5 Berbasis Rapidminer Pada PT. Adeaksa Indo Jayatama

In the era of globalization and digital 4.0, the development of technology and the internet plays an important role for human survival. PT. Adeaksa Indo Jayatama, as a provider of telecommunications and internet services, seeks to meet consumer needs with the DexaNet product which offers stable internet connections using fiber optic and wireless broadband. This research uses the C4.5 algorithm method and data mining using the RapidMiner platform to analyze consumer satisfaction. The research results show that the factors that influence consumer satisfaction are facilities and infrastructure, trusted providers, responsiveness, service quality, and stable network. The C4.5 algorithm implemented using RapidMiner has proven to be effective in analyzing customer satisfaction and providing valuable insights for the Company in improving service quality and customer satisfaction.

Efficient minimum blind area model for system and interference uncertainty

AbstractIn the anti‐interference of broadband communication radio, interference cancellation performance is seriously affected by the uncertainty of the working frequency selection of the communication system and the direction of hostile interference. The closed‐form solution of the interference cancellation weight value and the signal‐to‐interference noise ratio after the cancellation are derived and simplified to clarify the factors affecting interference cancellation quality. Then, the efficient blind area criterion is established for the low computational complexity in view of cancellation quality, which combines the radio communication index and anti‐interference demand index. Based on this criterion, the minimum blind area model is proposed for robust performance. The experimental results in the auxiliary antenna spacing optimisation are consistent with the theoretical analysis, verifying the effectiveness of the proposed model in dealing with uncertain communication frequency and interference direction. It is very promising in communication interference cancellation.

Optimal Spectral Allocation in Citizens Broadband Radio Service

Optimal Spectral Allocation in Citizens Broadband Radio Service

Application of STBC in MIMO-OFDM Broadband Wireless Communications

The Space Time Block Coding (STBC) is applied in multiple transmit antennas using data transfer for fading channels. After being encoded, the data is broken into n streams of continuously broadcast strings over n transmit antennas using STBC. The received signal is the combination of n broadcast signals and it becomes erroneous due to the entry of noise at receiver end. The probabilistic decoding approach is applied instead of joint detection approach for recovering data via decoupling of signals delivered from various antennas. The maximum likelihood decoding scheme employs the orthogonal structure of STBC called as OSTBC (Orthogonal Space Time Block Code) for providing the maximum likelihood decoding algorithm depending upon linear computation at receiver. In the present work, a MATLAB/SIMULINK environment of OSTBC has been used in order to acquire the highest dimension of variability for specific number of broadcasts as well as receive antennas utilizing a simple decoding techniques. With or without Grey Coding, OSTBC / STBC is used in MATLAB / SIMULINK blocs. The OSTBC algorithm calculates the highest achievable transmission rate for every amount of transmit antennas in any constellations including M-PSK array. M-PSK STBCs are used for different complex constellations to achieve ½ as well as ¾ of highest allowable transmission rate for Multiple Input Multiple Output (MIMO) transmit antennas utilizing various constellations

Simulation of Rainfall Attenuation Prediction Models for the Optimization of High-Speed Links in Millimeter Bands (80GHz): Tropical Regions’ Case

We deal with the problem of attenuation of electromagnetic waves due to precipitation. Indeed, the millimeter wave frequency (30–300 GHz) is a promising candidate for broadband wireless networks (4G and beyond), but atmospheric elements limit radio links to this frequency band. Precipitation is the important atmospheric element that causes the attenuation of a wave during its propagation and should therefore be estimated for the proper functioning of a link. It is with this in mind that our study focuses on the choice of an appropriate model for predicting the attenuation of a radio link after simulation of several models proposed in the literature in order to assess the impact of precipitation in the tropical region. The method used to achieve this objective consists firstly of analysing existing models and determining theoretical and actual unavailability using ITU-R methods and the Nomad monitoring tool; then secondly, we develop an application to evaluate the attenuation due to rain using the Da Silva, Mello and ITU-R models. The calculated attenuations were compared to experimental measurements, and Da Silva's model was found to be the best fit. On a local level, these results have a significant impact on the planning and optimization of communications infrastructures, enabling better performance of networks using millimeter waves. At the national level, this contributes to improved telecommunications networks and more reliable connectivity. Globally, this research can aid the development of high-frequency wireless communications in tropical regions, thereby promoting large-scale technological and economic advancement.

Study of Consumer Behaviour Towards Reliance Jio

The main objective of this project is to study the awareness of Reliance Jio amongst the customers compared to other telecom service providers. The satisfaction of customers is very important and with various products and services offered by the company its customers seem to be meaningless if it‟s not beneficiary to the customer from their end, so the second objective of this research is to study the customer satisfaction level of customers towards Reliance Jio and its services. To achieve success in long run a company needs a thorough study of its SWOT analysis (Strength, Weakness, Opportunities, and Threats). So the third objective of this research is to find the market potential and market penetration of Reliance Jio products and services. Reliance JioInfocomm Limited (Commonly called RJIL) is an Indian Internet access (commonly called „Broadband‟) and telecommunications company headquartered in Mumbai India‟s largest private sector company, is the first telecom operator to hold pan India Unified License. Reliance Jio is setting up a pan India telecom infrastructure to provide fourth generation LTE TDD high speed wireless internet and mobile communication services which was then launched in June 2015. Reliance Jio was founded in 2010 by MukeshAmbani. Reliance Jio offers mobile telephony and wireless broadband. Parent company of Reliance Jio is Reliance Industries and its subsidiary is LYF. To study the objectives discussed two types of sources were used to collect the data: - Primary and Secondary data. Primary data is also called as „First-hand data‟ or „Raw data‟. The primary data primarily means the unfiltered raw data collected by the researcher in the research process. In this project for the primary data a sample of 40 people were surveyed.

Frequency migration challenges and strategic decisions-making in broadband wireless access networks

Purpose: The impetus for this study lies in the pressing need for telecommunication companies to adapt to the rapidly evolving technological landscape and regulatory environment to maintain competitiveness and meet increasing consumer demands. Method: This study conducted a comprehensive analysis using SWOT analysis, Qualitative Data Analysis, and the Analytical Hierarchy Process (AHP) to determine the best course of action. Results: This study navigates through the initial stages of identifying the strategic, operational, and financial implications of PT. XYZ Frequency Migration. It delves into the background of Broadband Wireless Access (BWA) technology, the significance of the 3.3 GHz and 10 GHz bands in telecommunications, and the broader context of industry trends necessitating this shift. Methodologically, this research integrates SWOT, stakeholder, qualitative data analysis (QDA), and the Analytical Hierarchy Process (AHP) to provide a holistic understanding of the complexities of migration. This multi-faceted approach facilitates a comprehensive evaluation of the technological, operational, and strategic aspects of migration and offers nuanced insights into the challenges and opportunities inherent in the transition to the 10 GHz band. The study proposes that the convergence of various factors necessitates a strategic realignment that encompasses operational efficiency, technical excellence, financial prudence, regulatory compliance, and customer focus to effectively adapt to the 10 GHz spectrum. Contributions: This study contributes to the academic and practical understanding of network migration within the telecommunications sector, offering nuanced insights into the complexities of transitioning to higher frequency bands. It provides a framework for other telecommunications entities considering similar migrations, emphasizing the importance of a multifaceted strategic approach to navigating challenges and leveraging opportunities presented by such technological advancements.

Обеспечение радиопокрытия прибрежной морской зоны с применением беспроводного широкополосного оптического канала для организации интенсивного судоходства

The model of a wireless broadband optical channel designed for communication between the coastal subsystem and an air repeater that provides coverage of the coastal sea area for the organization of intensive navigation, including the use of unmanned vessels is presented. It is shown that direct coast-to-ship data transmission using Wi-Fi and 4G/LTE technologies has a number of disadvantages for bays with complex coastal terrain. The use of a wireless optical channel in the "point-to-point" format between the coastal subsystem and the air transmitter makes it possible to provide high-quality radio coverage of the sea surface and provide information-intensive channels to ship systems. The results of modeling the wireless optical channel implemented using FSO (Free Space Optic) technology are presented. To increase the efficiency of using the spectrum of the transmitted data stream and the protection ratio of the wireless channel, 16QAM and OFDM are used.

Miniaturized Microstrip Dual-Channel Diplexer Based on Modified Meander Line Resonators for Wireless and Computer Communication Technologies

There has been a lot of interest in microstrip diplexers lately due to their potential use in numerous wireless and computer communication technologies, including radio broadcasts, mobile phones, broadband wireless, and satellite-based communication systems. It can do this because it has a communication channel that can combine two distinct filters into one. This article presents a narrow-band microstrip diplexer that uses a stepped impedance resonator, a uniform impedance resonator, tiny square patches, and a meander line resonator. The projected diplexer might be made smaller than its initial dimensions by utilizing the winding construction. To model the microstrip diplexer topology for WiMAX and WIFI/WLAN at 1.66 GHz and 2.52 GHz, the Advanced Wave Research (AWR) solver was employed. It exhibited an insertion loss of 3.2 dB and a return loss of 16 dB for the first channel, while the insertion loss and return loss were 2.88 dB and 21 dB, respectively, for the second channel. When both filters were simulated, the band isolation was 31 dB. The projected microstrip diplexer has been fabricated using an FR4 epoxy laminate with dimensions of 32 × 26 mm2. The simulated S-parameters phase and group delay closely matched the measurements.

Resource-Efficient Multicast URLLC Service in 5G Systems.

Many emerging applications, such as factory automation, electric power distribution, and intelligent transportation systems, require multicast Ultra-Reliable Low-Latency Communications (mURLLC). Since 3GPP Release 17, 5G systems natively support multicast functionality, including multicast Hybrid Automatic Repeat Request and various feedback schemes. Although these features can be promising for mURLLC, the specifications and existing studies fall short in offering guidance on their efficient usage. This paper presents the first comprehensive system-level evaluation of mURLLC, leveraging insights from 3GPP specifications. It points out (i) how mURLLC differs from traditional multicast broadband wireless communications, and (ii) which approaches to provide mURLLC require changing the paradigm compared with the existing solutions. Finally, the paper provides recommendations on how to satisfy strict mURLLC requirements efficiently, i.e., with low channel resource consumption, which increases the capacity of 5G systems for mURLLC. Simulation results show that proper configuration of multicast mechanisms and the corresponding algorithms for mURLLC traffic can reduce resource consumption up to three times compared to the baseline solutions proposed for broadband multicast traffic, which significantly increases the system capacity.

A droplet-shape inspired wideband bow-tie dielectric resonator antenna for sub-6 GHz and IoT applications

In this article, an approach to realizing a dielectric resonator based bow-tie shaped antenna for the sub-6 GHz, 5G and IoT applications is discussed that utilizes droplet-shaped radiators for its two arms. The droplet-shaped radiating element is systematically derived to obtain a wider bandwidth response by truncating the sides of an aperture-coupled cylindrical DRA operating at HE11δ mode. The proposed bow-tie dielectric resonator antenna (DRA) is a modified dipole structure that uses a balanced line to differentially feed the two radiating segments to attain an overall wideband characteristics. A wideband matching balun circuit facilitates the antenna feeding which produces equal amplitude signals with 180° phase difference at its two output ports throughout the band of interest. The measurement of the proposed antenna confirms that it can serve several 5G bands like n77 (3300–4200 MHz), n78 (3300–3800 MHz), n48 (3550–3700 MHz) and n79 (4400–5000 MHz) with an overall wide bandwidth of 42.7% in the sub-6 GHz range. This planar configuration has a realized gain value ≥7.5 dBi within 3.37–3.91 GHz and it remains higher than 6 dBi almost throughout the working bandwidth of 3.18–4.91 GHz with considerably wide beamwidth. This broadband DRA has a consistent broadsided radiation pattern with cross-polarization discrimination (XPD)> 20 dB and its radiation efficiency varies between 60%–70% within 3.2–4.8 GHz. The antenna occupies a volume 1.2λ×1.2λ×0.1λ corresponding to its lower frequency of operation and it can support many more significant applications including WiMAX (3.3–3.8 GHz), Citizens Broadband Radio Service (CBRS) (3.55–3.7 GHz) and LTE (3.41–3.5 GHz uplink/3.51–3.6 GHz downlink). All these characteristics make this antenna a suitable candidate for use in transceiver modules for indoor communication, base stations, and vehicular communication.

Optical properties and broadband radio frequencies dielectric performance of solution cast-hot pressed PVDF/PMMA/BaTiO3 nanocomposite films

Optical properties and broadband radio frequencies dielectric performance of solution cast-hot pressed PVDF/PMMA/BaTiO3 nanocomposite films

Reviewing wireless broadband technologies in the peak smartphone era: 6G versus Wi-Fi 7 and 8

With the arrival of the peak smartphone era, users are upgrading their smartphones less frequently, and data growth is decelerating. To ensure effective spectrum management decisions, policy makers require a thorough understanding of prospective wireless broadband technologies, current trends and emerging issues. Here, we review the sixth cellular generation (‘6G’), in comparison to two new Wi-Fi standards, including IEEE 802.11be (‘Wi-Fi 7’) and IEEE 802.11bn (‘Wi-Fi 8’). We identify three emerging issues necessary for successful telecommunication policy. Firstly, evidenced-based policy making needs to be able to measure effectively how much demand takes place where and how. Thus, new datasets are needed reflecting real usage by different wireless broadband technologies, for indoor and outdoor users. Secondly, with data consumption growth slowing, there needs to be an urgent reassessment of spectrum demand versus allocation. Past forecasts do not reflect recent data and regulators urgently need to re-evaluate the implications for spectrum management. Finally, regulators need new and improved Lifecycle Impact Assessment metrics of cellular versus Wi-Fi architectures, to support successful policy decisions which mitigate energy and emissions impacts.

Study on Defected Ground Structure Models with Miniaturized Patches for Broadband Wireless Systems

Study on Defected Ground Structure Models with Miniaturized Patches for Broadband Wireless Systems