scholarly journals Machine Learning in Beyond 5G/6G Networks—State-of-the-Art and Future Trends

Electronics ◽  
2021 ◽  
Vol 10 (22) ◽  
pp. 2786
Author(s):  
Vasileios P. Rekkas ◽  
Sotirios Sotiroudis ◽  
Panagiotis Sarigiannidis ◽  
Shaohua Wan ◽  
George K. Karagiannidis ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Wireless Communications ◽  
Wireless Communication ◽  
Communication Systems ◽  
State Of The Art ◽  
Wireless Communication Systems ◽  
Future Trends ◽  
Network Applications ◽  
Open Issues

Artificial Intelligence (AI) and especially Machine Learning (ML) can play a very important role in realizing and optimizing 6G network applications. In this paper, we present a brief summary of ML methods, as well as an up-to-date review of ML approaches in 6G wireless communication systems. These methods include supervised, unsupervised and reinforcement techniques. Additionally, we discuss open issues in the field of ML for 6G networks and wireless communications in general, as well as some potential future trends to motivate further research into this area.

scholarly journals Omnidirectional Microstrip Patch Antenna for 2.4 GHz Wireless Communications

2021 ◽  
Vol 2114 (1) ◽  
pp. 012051
Author(s):  
Alaa M. Abdulhussein ◽  
Ali H. Khidhi ◽  
Ahmed A. Naser
Keyword(s):  
Computer Simulation ◽  
Wireless Communications ◽  
Wireless Communication ◽  
Patch Antenna ◽  
Communication Systems ◽  
Return Loss ◽  
Microstrip Patch Antenna ◽  
Wireless Communication Systems ◽  
Microstrip Patch ◽  
Operating Bandwidth

Abstract Antenna studies on various wireless communication systems have been carried out by many academics. In this research, the omnidirectional microstrip patch antenna (MPA) is proposed, manufactured, and tested. The operating bandwidth of the antenna is quite suitable for the different applications. The proposed antenna fabricated on the flame retardant (FR-4) substrate with a volume of 75.85 × 57.23 × 1.59 mm3. Computer simulation technology (CST) studio used to design and simulate. Experimental results show that the return loss (RL), bandwidth (BW), voltage standing wave ratio (VSWR) and input impedance (Zin ) are -25.26 dB, 61 MHz, 1.12 and 54.46 Ω, respectively. The antenna operates at 2.42 GHz (from 2.39 to 2.45 GHz), which has good performance in the Wi-Fi, Bluetooth, and ZigBee communications.

scholarly journals Online machine learning algorithms to optimize performances of complex wireless communication systems

2021 ◽  
Vol 19 (2) ◽  
pp. 2056-2094
Author(s):  
Koji Oshima ◽  
◽  
Daisuke Yamamoto ◽  
Atsuhiro Yumoto ◽  
Song-Ju Kim ◽  
...  
Keyword(s):  
Machine Learning ◽  
Wireless Communication ◽  
Communication Systems ◽  
Learning Algorithm ◽  
Learning Technologies ◽  
Machine Learning Algorithms ◽  
Optimal Decision ◽  
Wireless Communication Systems ◽  
Optimal Decision Making ◽  
Comprehensive Framework

<abstract><p>Data-driven and feedback cycle-based approaches are necessary to optimize the performance of modern complex wireless communication systems. Machine learning technologies can provide solutions for these requirements. This study shows a comprehensive framework of optimizing wireless communication systems and proposes two optimal decision schemes that have not been well-investigated in existing research. The first one is supervised learning modeling and optimal decision making by optimization, and the second is a simple and implementable reinforcement learning algorithm. The proposed schemes were verified through real-world experiments and computer simulations, which revealed the necessity and validity of this research.</p></abstract>

Assessment of Rural Intelligent Transportation System Wireless Communications Solutions

2000 ◽  
Vol 1739 (1) ◽  
pp. 51-58 ◽  
Author(s):  
Qingyan Yang ◽  
Virginia Sisiopiku ◽  
Jim A. Arnold ◽  
Paul Pisano ◽  
Gary G. Nelson
Keyword(s):  
Wireless Communications ◽  
Wireless Communication ◽  
Intelligent Transportation Systems ◽  
Urban Areas ◽  
Communication Systems ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Future Research ◽  
Wireless Communication Systems ◽  
Rural Environments

Rural transportation systems have different features and needs than their urban counterparts. To address safety and efficiency concerns in rural environments, advanced rural transportation systems (ARTS) test and deploy appropriate intelligent transportation systems (ITS) technologies, many of which require communication support. However, wireless communication systems that currently serve urban areas often are not available or suitable in rural environments. Thus, a need exists to identify communication solutions that are likely to address successfully the needs and features of ARTS applications. Current and emerging wireless communications systems and technologies have been systematically assessed with respect to rural ITS applications. Wireless communication functions associated with rural ITS functions are first identified. Then requirements for applicable communication technologies in the rural environment are defined. Existing and emerging wireless communication systems and technologies are reviewed and evaluated by a systematic process of assessing rural ITS wireless solutions. Finally, recommendations for future research and operational tests are offered. The analysis results are expected to benefit rural ITS planners by identifying suitable wireless solutions for different rural contexts.

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