scholarly journals A Comprehensive Survey on Millimeter Wave Communications for Fifth-Generation Wireless Networks: Feasibility and Challenges

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 62367-62414 ◽  
Author(s):  
Anthony Ngozichukwuka Uwaechia ◽  
Nor Muzlifah Mahyuddin
Keyword(s):  
Wireless Networks ◽  
Millimeter Wave ◽  
Fifth Generation ◽  
Comprehensive Survey ◽  
Millimeter Wave Communications

scholarly journals Overview of Millimeter Wave Communications for Fifth-Generation (5G) Wireless Networks—With a Focus on Propagation Models

2017 ◽  
Vol 65 (12) ◽  
pp. 6213-6230 ◽  
Author(s):  
Theodore S. Rappaport ◽  
Yunchou Xing ◽  
George R. MacCartney ◽  
Andreas F. Molisch ◽  
Evangelos Mellios ◽  
...  
Keyword(s):  
Wireless Networks ◽  
Millimeter Wave ◽  
Propagation Models ◽  
Fifth Generation ◽  
Millimeter Wave Communications

scholarly journals A Survey on 5G Millimeter Wave Communications for UAV-Assisted Wireless Networks

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 117460-117504 ◽  
Author(s):  
Long Zhang ◽  
Hui Zhao ◽  
Shuai Hou ◽  
Zhen Zhao ◽  
Haitao Xu ◽  
...  
Keyword(s):  
Wireless Networks ◽  
Millimeter Wave ◽  
Millimeter Wave Communications

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.

Effect of Slice Priority for admission control in 5G Wireless Networks: A comparison study for two Fuzzy-based systems considering Software-Defined-Networks

2020 ◽  
Vol 26 (3) ◽  
pp. 169-183
Author(s):  
Phudit Ampririt ◽  
Yi Liu ◽  
Makoto Ikeda ◽  
Keita Matsuo ◽  
Leonard Barolli ◽  
...  
Keyword(s):  
Wireless Networks ◽  
Admission Control ◽  
High Speed ◽  
Additional Parameter ◽  
Fifth Generation ◽  
Efficient Management ◽  
Grade Of Service ◽  
User Request ◽  
Control Decision ◽  
And Control

The Fifth Generation (5G) networks are expected to be flexible to satisfy demands of high-quality services such as high speed, low latencies and enhanced reliability from customers. Also, the rapidly increasing amount of user devices and high user’s requests becomes a problem. Thus, the Software-Defined Network (SDN) will be the key function for efficient management and control. To deal with these problems, we propose a Fuzzy-based SDN approach. This paper presents and compares two Fuzzy-based Systems for Admission Control (FBSAC) in 5G wireless networks: FBSAC1 and FBSAC2. The FBSAC1 considers for admission control decision three parameters: Grade of Service (GS), User Request Delay Time (URDT) and Network Slice Size (NSS). In FBSAC2, we consider as an additional parameter the Slice Priority (SP). So, FBSAC2 has four input parameters. The simulation results show that the FBSAC2 is more complex than FBSAC1, but it has a better performance for admission control.

scholarly journals A Survey on Machine Learning-Based Performance Improvement of Wireless Networks: PHY, MAC and Network Layer

Electronics ◽  
2021 ◽  
Vol 10 (3) ◽  
pp. 318
Author(s):  
Merima Kulin ◽  
Tarik Kazaz ◽  
Eli De Poorter ◽  
Ingrid Moerman
Keyword(s):  
Machine Learning ◽  
Wireless Networks ◽  
Performance Improvement ◽  
Quality Of Experience ◽  
Data Driven ◽  
Protocol Stack ◽  
Comprehensive Survey ◽  
Network Prediction ◽  
Network Quality

This paper presents a systematic and comprehensive survey that reviews the latest research efforts focused on machine learning (ML) based performance improvement of wireless networks, while considering all layers of the protocol stack: PHY, MAC and network. First, the related work and paper contributions are discussed, followed by providing the necessary background on data-driven approaches and machine learning to help non-machine learning experts understand all discussed techniques. Then, a comprehensive review is presented on works employing ML-based approaches to optimize the wireless communication parameters settings to achieve improved network quality-of-service (QoS) and quality-of-experience (QoE). We first categorize these works into: radio analysis, MAC analysis and network prediction approaches, followed by subcategories within each. Finally, open challenges and broader perspectives are discussed.

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