Low-PAPR OFDM-based waveform for fifth-generation cellular communications

2017 ◽  
Author(s):  
Yoav Levinbook ◽  
Doron Ezri ◽  
Ezer Melzer
Keyword(s):  
Cellular Communications ◽  
Fifth Generation

A Method for Spatial Point-Focusing of Radio Wave Energy for Fifth-Generation Communication Systems

Vestnik MEI ◽  
2018 ◽  
Vol 5 (5) ◽  
pp. 158-165
Author(s):  
Roman S. Kulikov ◽  
◽  
Aleksandr A. Chugunov ◽  
Nikita I. Petukhov ◽  
Ivan R. Indrikov ◽  
...  
Keyword(s):  
Radio Wave ◽  
Wave Energy ◽  
Communication Systems ◽  
Spatial Point ◽  
Fifth Generation

A Single Band Antenna Design for Future Millimeter Wave Wireless Communication at 38 GHz

2018 ◽  
Vol 3 (1) ◽  
pp. 35 ◽  
Author(s):  
Cihat Şeker ◽  
Turgut Ozturk ◽  
Muhammet Tahir Güneşer
Keyword(s):  
Millimeter Wave ◽  
Mobile Communications ◽  
Return Loss ◽  
Computer Software ◽  
Dielectric Substrate ◽  
Single Band ◽  
Microstrip Patch ◽  
Fifth Generation ◽  
Wireless Application ◽  
5G Mobile Communications

In this proposed paper, a single band microstrip patch antenna for fifth generation (5G) wireless application was presented. 28, 38, 60 and 73 GHz frequency bands have been allocated for 5G mobile communications by International Telecommunications Union (ITU). In this paper, we proposed an antenna, which is suitable for the millimeter wave frequency. The single band antenna consists of new slot loaded on the radiating patch with the 50 ohms microstrip line feeding used. This single band antenna was simulated on a FR4 dielectric substrate have relative permittivity 4.4, loss tangent 0.02, and height 1.6 mm. The antenna was simulated by Electromagnetic simulation, computer software technology High Frequency Structural Simulator. And simulated result on return loss, VSWR, radiation pattern and 3D gain was presented. The parameters of the results well coherent and proved the literature for millimeter wave 5G wireless application at 38 GHz.

The SUSPECT SYMPTOMS OF INBREEDING DEPRESSION AND THE HOMOZYGOSITY LEVEL OF FOURTH GENERATION OF SP450T AND FIFTH GENERATION OF DURA DELI OIL PALM SELFING POPULATION

2018 ◽  
Vol 24 (2) ◽  
pp. 55-66
Author(s):  
Rokhana Faizah ◽  
Sri Wening ◽  
Hernawan Yuli Rahmadi ◽  
Abdul Razak Purba
Keyword(s):  
Inbreeding Depression ◽  
Oil Palm ◽  
Recurrent Selection ◽  
Fourth Generation ◽  
Depression Symptoms ◽  
Reciprocal Recurrent Selection ◽  
Chain Reaction ◽  
Fifth Generation ◽  
Polymerase Chain ◽  
Simple Sequence

Inbreeding is a common method used to reproduce candidate mother plant from selected parental lines for commercial seeds in Reciprocal Recurrent Selection (RRS) oil palm breeding program. However this practice may increased homozigosity level of selected population. This study concerned the level of homozygosity of SP540T fourth generations and Dura Deli Dolok Sinumbah fifth generations (3 crosses respectively) and their correlation with inbreeding depression symptoms. Polymerase Chain Reaction-Simple Sequence Repeat (PCR-SSR) with 16 markers developed for oil palm was used to analyze 327 samples. The result shows that the levels of homozigosity of SP540T fourth selfing generation were ranged between 0.44-0.84 or 0.61 in average. While the levels of homozygosity of Dura Deli fifth selfing generations were ranged between 0.60-0.93 or 0.78 in average. The homozygosity level in Dura Deli was 1.27% higher than SP540T populations. Correlation analysis showed that the higher the level of homozygosity, the higher of the inbreeding symptoms 2 observed (R =0.95).

scholarly journals 5G Mobile Services and Scenarios: Challenges and Solutions

2018 ◽  
Vol 10 (10) ◽  
pp. 3626 ◽  
Author(s):  
Yousaf Zikria ◽  
Sung Kim ◽  
Muhammad Afzal ◽  
Haoxiang Wang ◽  
Mubashir Rehmani
Keyword(s):  
Mobile Network ◽  
Future Internet ◽  
Autonomous Driving ◽  
Mobile Services ◽  
Data Traffic ◽  
Fifth Generation ◽  
Wide Range ◽  
Industrial Iot ◽  
5G Network ◽  
Massive Number

The Fifth generation (5G) network is projected to support large amount of data traffic and massive number of wireless connections. Different data traffic has different Quality of Service (QoS) requirements. 5G mobile network aims to address the limitations of previous cellular standards (i.e., 2G/3G/4G) and be a prospective key enabler for future Internet of Things (IoT). 5G networks support a wide range of applications such as smart home, autonomous driving, drone operations, health and mission critical applications, Industrial IoT (IIoT), and entertainment and multimedia. Based on end users’ experience, several 5G services are categorized into immersive 5G services, intelligent 5G services, omnipresent 5G services, autonomous 5G services, and public 5G services. In this paper, we present a brief overview of 5G technical scenarios. We then provide a brief overview of accepted papers in our Special Issue on 5G mobile services and scenarios. Finally, we conclude this paper.

scholarly journals Image-Based Automatic Watermeter Reading under Challenging Environments

Sensors ◽  
2021 ◽  
Vol 21 (2) ◽  
pp. 434
Author(s):  
Qingqi Hong ◽  
Yiwei Ding ◽  
Jinpeng Lin ◽  
Meihong Wang ◽  
Qingyang Wei ◽  
...  
Keyword(s):  
Smart Cities ◽  
Rapid Development ◽  
Mobile Network ◽  
Spatial Layout ◽  
Single Image ◽  
Automatic Instrument ◽  
Intelligent Sensors ◽  
Fifth Generation ◽  
Instrument Reading ◽  
Network Technologies

With the rapid development of artificial intelligence and fifth-generation mobile network technologies, automatic instrument reading has become an increasingly important topic for intelligent sensors in smart cities. We propose a full pipeline to automatically read watermeters based on a single image, using deep learning methods to provide new technical support for an intelligent water meter reading. To handle the various challenging environments where watermeters reside, our pipeline disentangled the task into individual subtasks based on the structures of typical watermeters. These subtasks include component localization, orientation alignment, spatial layout guidance reading, and regression-based pointer reading. The devised algorithms for orientation alignment and spatial layout guidance are tailored to improve the robustness of our neural network. We also collect images of watermeters in real scenes and build a dataset for training and evaluation. Experimental results demonstrate the effectiveness of the proposed method even under challenging environments with varying lighting, occlusions, and different orientations. Thanks to the lightweight algorithms adopted in our pipeline, the system can be easily deployed and fully automated.

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