4G Broadband Research Articles

Design and Analysis of 5G Broadband Elliptical Cut Octagon Patch Antenna

Design and Analysis of 5G Broadband Elliptical Cut Octagon Patch Antenna

Use of 5G technology for oncological surgery streaming

This paper discusses the benefits of surgery streaming and tele-mentoring, as well as the use of 5G technology in surgical procedures. The paper describes the advantages of using wireless 5G broadband as a low-latency and large-bandwidth capacity connection, which can solve problems with cables and large equipment in the surgery room. The Chilean oncology clinic Fundación Arturo López Pérez coordinated an international project with Japanese companies NTT Data and Allm Inc. to implement a proof of concept using 5G technology for the transmission of an oncological surgery. This project consisted of the installation of a local 5G network, its configuration and testing, and the realization of the first broadcast of a robotic partial nephrectomy in Latin America using the 5G broadband. The paper provides details on the hardware infrastructure and components used in the project

Robust Frequency Selective Precoding for Downlink Massive MIMO in 5G Broadband System

Robust Frequency Selective Precoding for Downlink Massive MIMO in 5G Broadband System

Opportunities and Limitations in Radar Sensing Based on 5G Broadband Cellular Networks

In recent years, the 5G network has been deployed more and more densely. The signal coverage area is increasing, and in many countries, it allows the use of the new radio (NR) in most large cities. This makes it possible to use 5G network signals for telecommunication and remote sensing purposes. This article describes the opportunities and limitations of using 5G signals for radars. The waveform characteristics of the 5G network were tested and compared, range analyses were made, and the possibilities of detecting targets using impulse signals sent for various purposes in the network were examined. The article presents measurable properties of 5G signals that allow one to detect targets. Also, possibilities of exploiting 5G signalling for radar applications are provided. Moreover, the main limitations of using 5G waveforms and the general 5G architecture for radar purposes are discussed. Finally, a preliminary concept validation is shown with experimental results of car detection using 5G network-based passive radar.

Effective Digital Predistortion (DPD) on a Broadband Millimeter-Wave GaN Power Amplifier Using LTE 64-QAM Waveforms

We demonstrate in this work effective linearization on a millimeter-wave (mm-Wave) broadband monolithic gallium nitride (GaN) power amplifier (PA) using digital predistortion (DPD). The PA used is a two-stage common-source (CS)/2-stack PA that operates in the mm-Wave 5G FR2 band, and it is linearized with the generalized memory polynomial (GMP) DPD and tested using 4G (4th generation) long-term-evolution (LTE) 64-QAM (quadrature amplitude modulation) modulated signals with a PAPR (peak-to-average power ratio) of 8 dB. Measurement results after implementing GMP DPD indicate considerable broadband improvement in the adjacent channel leakage power ratio (ACLR) of 16.9 dB/17.3 dB/16.5 dB/15.1 dB at 24 GHz/28 GHz/37 GHz/39 GHz, respectively, with a common average POUT of 15 dBm using a 100 MHz LTE 64-QAM input signal. At a fixed frequency of 28 GHz, the GaN PA after GMP DPD achieved signal bandwidth-dependent ACLR improvement and root-mean-square (rms) EVM (error vector magnitude) reduction using 20 MHz/40 MHz/80 MHz/100 MHz LTE 64-QAM waveforms with a common average POUT of 15 dBm. The GaN PA thus achieved very good linearization results compared to that in other state-of-the-art mm-Wave PA DPD studies in the literature, suggesting that GMP DPD should be rather effective for linearizing mm-Wave 5G broadband GaN PAs to improve POUT, Linear.

MediaTek Boosts 5G Broadband Solutions

5G broadband solutions to support advanced AI integrations

A Survey on Machine Learning Techniques for Massive MIMO Configurations: Application Areas, Performance Limitations and Future Challenges

The deployment of fifth-generation (5G) broadband wireless cellular networks has enabled the support of highly demanding applications, paving the way towards global broadband connectivity. In the same context, related advances in network infrastructure, such as network function virtualization via the decoupling of related functionalities from hardware equipment has leveraged end-to-end service support in highly heterogeneous environments. To this end, uninterrupted provision of service necessitates a holistic network redesign where access points (APs) should be placed and configured dynamically. One of the key supporting technologies of 5G communications are massive multiple input multiple output (m-MIMO) configurations, deployed over various APs, either in a centralized or in a distributed manner. However, such a configuration would pose an additional degree of complexity during network planning, since on one hand accurate channel estimation for all potential links is limited due to the pilot contamination effect, and on the other hand the number of actually deployed radio frequency chains is again limited when compared to the fully digital approach, in an effort to relax hardware and computational burden. Moreover, additional issues should be taken into consideration as well, such as the coexistence of m-MIMO configurations with other novel technologies in the 5G air interface as well as the need for provision of acceptable quality of service to a large number of mobile users. In an effort to deal with the aforementioned issues, machine learning (ML) algorithms have emerged over the last decade as a promising solution that can deal with complex optimization problems. In this context, the main goal of this survey paper is to present the state-of-the-art approaches in the deployment of ML methods in m-MIMO configurations. Unlike other related survey papers, this is the first scientific attempt to cover all aspects of m-MIMO practical implementations (i.e., channel estimation, MIMO precoding and signal detection, hybrid beamforming, distributed configurations, user pairing and power allocation in non-orthogonal multiple access), in the context of ML-aided calculations. To this end, all presented works are categorized according to the studied aspect, while in the same context potential limitations and future challenges are highlighted as well.

Improving the state of materials in cybersecurity attack detection in 5G wireless systems using machine learning

The utilization of information from the radio channel is useful in detecting the spoofing attacksin 5G wireless communications. This concept has been used for a wide range of uses for the Internet of Things (IoT) environment by users and their IoT devices. But how these tasks can minimise the effects of cyber threats in genuinely complex networks has not yet been sufficiently addressed. These are seriously exposed, as is the case with 5G broadband networks due to a wide variety of technology at various abstract stages. As 5G IoT is the 5G environment, including the IoT background, in this article, we are an artificial intelligence (AI) intended to minimise the impact of 5G IoT threats, when extended to the participants involved on a number of levels.This paper uses Support Vector Machine (SVM) based PHY-layer authentication algorithm to detect the possible security attacks in 5G wireless communication at physical layer. It is utilized in increasing the rate of authentication with test features. The detection rate is improved further with test statistic features. The model is implemented on multiple-input multiple-output (MIMO) channel. The simulation results shows that the proposed method yield the high detection rate on all attacks.

A comparative study of user experienced mobile broadband performance

Even though the proliferation of handheld mobile communication devices has deepened Internet and broadband penetration in Nigeria, users of such services may not have detailed quantitative performance comparison between the services provided by different network operators. The study here reported is therefore an attempt to bridge the information gap. A measurement testbed based on the Raspberry Pi platform was developed to autonomously measure the mobile broadband performance of third generation (3G) and fourth generation (4G) broadband networks of the four major mobile network operators in the country. Under static access conditions, the system was set up to measure the upload throughput, download throughput and latency from a user-centric perspective. The measurements were taken by simultaneously sampling the networks of four mobile broadband service providers (9Mobile, Airtel, Globacom and MTN) over a period of three weeks in the city of Uyo, Nigeria. The results obtained revealed that Airtel achieved the highest peak download rate for 3G throughput, and this was only 1.41 Mbps higher than the least performing MNO. Also, it was found that MTN’s download rate peaked at 35.06 Mbps, and this was over 300% of the rate achieved by the fourth rated network in terms of the 4G download throughput metric. The measurement results also revealed that peak usage periods, defined as the hours between 7pm and 11pm, witnessed higher variability in throughput rates than other periods.

Wideband Microwave Photonic Circulator Using Two Asymmetric Partial-Height Triangle Ferrites.

Broadband 5G communication requires the operation of nonreciprocal devices in the Ku band. A wideband photonic crystal circulator is implemented by introducing two partial-height triangular Ni-Zn ferrites into the Al2O3 ceramic rod-arrays. The asymmetric sizes of the two equilateral triangles paired with self-matching effectively extend the bandwidth of the circulator eight times over that of the symmetric scheme. Numerical simulations demonstrate that the photonic crystal circulator can obtain a bandwidth of 1.00 GHz with an isolation 25.75 dB and an insertion loss 0.381 dB through optimized matched triangle size ratio, suitable for applications in future communication systems.

Planar Microstrip Patch Antenna Arrays with Semi-elliptical Slotted Patch and ground Structure for 5G Broadband Communication Systems

Planar Microstrip Patch Antenna Arrays with Semi-elliptical Slotted Patch and ground Structure for 5G Broadband Communication Systems

Jitter enhanced full digital RF transmitter and PWM RFPA for 5G broadband communications

RFPA (radio frequency power amplifier) based on PWM (pulse width modulation) can be perfect linear without using complicated DPD (digital pre-distortion) hardware. However, PWM RFPA need ultra-high PWM time resolution (less than 10 ps) for wide-band 5G, which is limited by CMOS technologies (can reach 40 ps). It limits the complexity of modulation so that PWM RFPA cannot be really commercialized so far in wideband radio/mobile technologies. This paper presents our contribution by introducing jitter into PWM. For the first time, we demonstrate that jitter can improve the PWM time resolution equivalently reaching less than 2.6 ps. Hence PWM RFPA can be used in 5G supporting 256QAM OFDM modulation based on currently available digital CMOS technologies. We demonstrate that jitter can refine the inherent resolution of PWM hardware circuit modulation. The jitter makes the MCS (modulation and coding scheme) of the bandwidth OFDM system improved from 16QAM to 256QAM in the band n28 of 3GPP 38.101. We also verified that 5G 256QAM OFDM modulation is achievable in the 3GPP band n20, Softbank band28 and NTT Docomo band28. The RMS EVM (root mean square error vector magnitude) of 256QAM OFDM modulation is about −44 dB.

Resource Allocation in 4G and 5G Networks: A Review

The advent of 4G and 5G broadband wireless networks brings several challenges with respect to resource allocation in the networks. In an interconnected network of wireless devices, users, and devices, all compete for scarce resources which further emphasizes the fair and efficient allocation of those resources for the proper functioning of the networks. The purpose of this study is to discover the different factors that are involved in resource allocation in 4G and 5G networks. The methodology used was an empirical study using qualitative techniques by performing literature reviews on the state of art in 4G and 5G networks, analyze their respective architectures and resource allocation mechanisms, discover parameters, criteria and provide recommendations. It was observed that resource allocation is primarily done with radio resource in 4G and 5G networks, owing to their wireless nature, and resource allocation is measured in terms of delay, fairness, packet loss ratio, spectral efficiency, and throughput. Minimal consideration is given to other resources along the end-to-end 4G and 5G network architectures. This paper defines more types of resources, such as electrical energy, processor cycles and memory space, along end-to-end architectures, whose allocation processes need to be emphasized owing to the inclusion of software defined networking and network function virtualization in 5G network architectures. Thus, more criteria, such as electrical energy usage, processor cycle, and memory to evaluate resource allocation have been proposed. Finally, ten recommendations have been made to enhance resource allocation along the whole 5G network architecture.

Policy choices can help keep 4G and 5G universal broadband affordable

• The UN broadband commission is targeting universal broadband of 10 Mbps by 2030. • This paper evaluates if this is actually feasible, considering viability and affordability. • Deployment of 5G non-standalone costs USD 2 trillion (0.67% of annual GDP for the developing world). • A favorable regulatory environment can reduce this cost by almost half, avoiding public subsidy. • Governments must adopt fiscal and regulatory regimes conducive to lowering broadband costs. • If so, universal broadband may be within reach of most developing countries over the next decade. The UN Broadband Commission has committed to universal broadband by 2030. But can this objective really be affordably delivered? The aim of this paper is to assess universal broadband viability in the developing world, quantifying the relationship between demand-side revenue and supply-side cost. A comprehensive scenario-based simulation model is developed open-source, capable of evaluating the global cost-effectiveness of different 4G and 5G infrastructure strategies. Utilizing remote sensing and demand forecasting, least-cost network designs are developed for eight representative Low and Middle-Income Countries (Malawi, Uganda, Kenya, Senegal, Pakistan, Albania, Peru and Mexico), the results from which form the basis for global aggregation via a new assessment framework. The cost of meeting a minimum ∼10 Mbps per user is estimated at USD 2 trillion using 5G Non-Standalone, approximately 0.67% of annual GDP for the developing world over the next decade. However, by creating a favorable regulatory environment, governments can bring down these costs by almost half – to USD 1.2 trillion (approximately 0.41% of annual GDP) – and avoid the need for public subsidy. Providing governments make judicious choices, adopting fiscal and regulatory regimes conducive to lowering costs, universal broadband may be within reach of most developing countries over the next decade.

Two-Element Pharaonic Ankh-Key Array Antenna Design, Simulation, and Fabrication for 5G and Millimeter-Wave Broadband Applications

In this paper, a two-element Pharaonic Ankh-Key array antenna is proposed. The array antenna is designed, simulated and fabricated to enhance the new technologies upcoming in the market. The multiband array antenna can operate in 24 GHz band, 28 GHz band, 37 GHz band, 39 GHz band, 47 GHz band, E-band, W-band, and D-band with peak gain between 7.8 dBi to 12.3 dBi along the resonating spectrum. The array antenna is a single layer of two-element antenna separately fed by <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$50\Omega $ </tex-math></inline-formula> microstrip line with dimensions 18.7 mm <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\times18.5$ </tex-math></inline-formula> mm and a height of 0.787mm Rogers/Duroid RT 5880 of <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\varepsilon _{r} =2.2$ </tex-math></inline-formula> and <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">tan</i> <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\delta =0.0009$ </tex-math></inline-formula> which was easily fabricated with a very low cost compared to the existing antennas in the market making it a very promising candidate for 5G and beyond technologies MIMO applications as it operates in almost all band between 23 GHz and 140 GHz. The antenna is designed and simulated using CST Suite, Ansys HFSS, and IE3D Mentor Graphics simulators then the simulated results where compared to the measured results achieving a very good agreement.

Resource Allocation in 4G and 5G Networks: A Review

The advent of 4G and 5G broadband wireless networks brings several challenges with respect to resource allocation in the networks. In an interconnected network of wireless devices, users, and devices, all compete for scarce resources which further emphasizes the fair and efficient allocation of those resources for the proper functioning of the networks. The purpose of this study is to discover the different factors that are involved in resource allocation in 4G and 5G networks. The methodology used was an empirical study using qualitative techniques by performing literature reviews on the state of art in 4G and 5G networks, analyze their respective architectures and resource allocation mechanisms, discover parameters, criteria and provide recommendations. It was observed that resource allocation is primarily done with radio resource in 4G and 5G networks, owing to their wireless nature, and resource allocation is measured in terms of delay, fairness, packet loss ratio, spectral efficiency, and throughput. Minimal consideration is given to other resources along the end-to-end 4G and 5G network architectures. This paper defines more types of resources, such as electrical energy, processor cycles and memory space, along end-to-end architectures, whose allocation processes need to be emphasized owing to the inclusion of software defined networking and network function virtualization in 5G network architectures. Thus, more criteria, such as electrical energy usage, processor cycle, and memory to evaluate resource allocation have been proposed. Finally, ten recommendations have been made to enhance resource allocation along the whole 5G network architecture.

Timing Market Entry: The Mediation Effect of Market Potential

Timing a multinational firm's entry into a new country is a pivotal decision with long-term impact on the firm's overall performance; thus, a deeper understanding of the drivers of the decision and their interrelationship can yield significant managerial benefits. The authors explore the mediating role of market potential by decomposing the total effects of the decision's main drivers—macroeconomic attractiveness, market concentration, social heterogeneity, and population density—into direct and indirect effects. These decompositions explain the countervailing effects of some drivers that simultaneously make both positive and negative impacts. The data set encompasses mobile 4G broadband penetration in 130 countries, including market entry timings for 28 international operators in 79 countries. The authors establish the nature of the mediation effect of market potential on the drivers of entry timing. Using early penetration data, they utilize growth mixture modeling to divide the countries into four latent segments. They validate this segmentation using machine learning with the four key drivers as classifiers; the process establishes macroeconomic attractiveness as the predominant classifier. The analysis offers entry-timing guidance at both pre- and postlaunch stages.

Cost assessment of elasticity for a 5G broadband network

AbstractIn the highly competitive telecommunications market, operators need to consider techniques that might lead to a more cost‐efficient use of the network resources. The recently proposed concept of resource elasticity focuses on the inherent cost reductions achieved by tailoring the resource utilization of network elements, such as radio and cloud elements, to the real network demand. However, no research has been conducted so far regarding the cost benefits that such schemes could bring to 5G networks, in terms of total cost of ownership. This article makes a novel contribution by analyzing the cost benefits of employing elasticity in a 5G network providing users with a broadband service in a hotspot area. The area exemplarily analyzed was the Port of Hamburg in Germany, which is a realistic scenario and which receives a considerable number of additional mobile users when a cruise ship arrives at the port. The results show that, for the different scenarios analyzed, the total radio access network cost reductions of using elasticity compared to a non‐elastic network range from 2.5% to 4.4%. Considering the edge cloud site‐related cost component alone, a 16.4% saving from elasticity was found. Further research is needed to understand the benefits of elasticity for other types of 5G use cases in different types of areas.

A Hybrid Technique Based on a Genetic Algorithm for Fuzzy Multiobjective Problems in 5G, Internet of Things, and Mobile Edge Computing

Emerging commucation technologies, such as mobile edge computing (MEC), Internet of Things (IoT), and fifth-generation (5G) broadband cellular networks, have recently drawn a great deal of interest. Therefore, numerous multiobjective optimization problems (MOOP) associated with the aforementioned technologies have arisen, for example, energy consumption, cost-effective edge user allocation (EUA), and efficient scheduling. Accordingly, the formularization of these problems through fuzzy relation equations (FRE) should be taken into consideration as a capable approach to achieving an optimized solution. In this paper, a modified technique based on a genetic algorithm (GA) to solve MOOPs, which are formulated by fuzzy relation constraints with s -norm, is proposed. In this method, firstly, some techniques are utilized to reduce the size of the problem, so that the reduced problem can be solved easily. The proposed GA-based technique is then applied to solve the reduced problem locally. The most important advantage of this method is to solve a wide variety of MOOPs in the field of IoT, EC, and 5G. Furthermore, some numerical experiments are conducted to show the capability of the proposed technique. Not only does this method overcome the weaknesses of conventional methods owing to its potentials in the nonconvex feasible domain, but it also is useful to model complex systems.

Millimeter-Wave Integrated Phased Arrays

Large-scale millimeter-wave (mm-Wave) integrated phased array is the key technology to enable broadband 5G and satellite communications. This paper details the design considerations, challenges and trade-offs of mm-Wave integrated phased arrays based on bulk CMOS and multi-layer hybrid PCB technologies. Both technologies attain high yield and low cost for mass production. Important beamforming building blocks are addressed and compared in detail. Demonstrators of integrated phased arrays are presented from circuit to board levels. The 1024- and 4096-element integrated phased arrays achieve the EIRP of 72.5 and 84.0 dBm respectively. Finally, relevant phased-array transceivers and antennas from the recent literature are discussed.