scholarly journals A 28 GHz Broadband Helical Inspired End-Fire Antenna and Its MIMO Configuration for 5G Pattern Diversity Applications

Electronics ◽  
2021 ◽  
Vol 10 (4) ◽  
pp. 405
Author(s):  
Hijab Zahra ◽  
Wahaj Abbas Awan ◽  
Wael Abd Ellatif Ali ◽  
Niamat Hussain ◽  
Syed Muzahir Abbas ◽  
...  
Keyword(s):  
Communication Systems ◽  
Multiple Input Multiple Output ◽  
Performance Comparison ◽  
Broad Bandwidth ◽  
Pattern Diversity ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Measured Impedance ◽  
5G Communication ◽  
The Internet Of Things

In this paper, an end-fire antenna for 28 GHz broadband communications is proposed with its multiple-input-multiple-output (MIMO) configuration for pattern diversity applications in 5G communication systems and the Internet of Things (IoT). The antenna comprises a simple geometrical structure inspired by a conventional planar helical antenna without utilizing any vias. The presented antenna is printed on both sides of a very thin high-frequency substrate (Rogers RO4003, εr = 3.38) with a thickness of 0.203 mm. Moreover, its MIMO configuration is characterized by reasonable gain, high isolation, good envelope correlation coefficient, broad bandwidth, and high diversity gain. To verify the performance of the proposed antenna, it was fabricated and verified by experimental measurements. Notably, the antenna offers a wide −10 dB measured impedance ranging from 26.25 GHz to 30.14 GHz, covering the frequency band allocated for 5G communication systems with a measured peak gain of 5.83 dB. Furthermore, a performance comparison with the state-of-the-art mm-wave end-fire antennas in terms of operational bandwidth, electrical size, and various MIMO performance parameters shows the worth of the proposed work.

Blind timing and carrier synchronisation in distributed multiple input multiple output communication systems

2011 ◽  
Vol 5 (7) ◽  
pp. 1028-1037 ◽  
Author(s):  
A.A. Nasir ◽  
S. Durrani ◽  
R.A. Kennedy
Keyword(s):  
Communication Systems ◽  
Multiple Input Multiple Output ◽  
Multiple Input ◽  
Input Multiple Output

The Security Risks and Challenges of 5G Communications

2021 ◽  
Vol 3 (2) ◽  
pp. 46-53
Author(s):  
Young B. Choi ◽  
Matthew E. Bunn
Keyword(s):  
Multiple Input Multiple Output ◽  
Wireless Systems ◽  
Daily Basis ◽  
Automated Manufacturing ◽  
Security Risks ◽  
Security Challenges ◽  
Autonomous Cars ◽  
Multiple Input ◽  
Input Multiple Output ◽  
The Internet Of Things

With the introduction of the 5th generation of wireless systems and communications (5G) comes new risks and challenges. This paper explores the potential security challenges of 5G communication compared with legacy cellular networks and prior generations of communication standards. This paper defines what 5G is and how it affects our lives on a daily basis. It further discusses the new security features involving different technologies applied to 5G, such as heterogeneous networks, device-to-device communications, massive multiple-input multiple-output, software-defined networks, and the internet of things, including autonomous cars, healthcare, automated manufacturing, and more.

PROBLEM STATEMENT OF JOINT ANTENNA SELECTION AND PRECODING IN MASSIVE MIMO COMMUNICATION SYSTEMS

2021 ◽  
Author(s):  
В.Б. КРЕЙНДЕЛИН ◽  
М.В. ГОЛУБЕВ
Keyword(s):  
Massive Mimo ◽  
Communication Systems ◽  
Mimo Systems ◽  
Antenna Selection ◽  
Multiple Input Multiple Output ◽  
Research Areas ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Legal Restrictions ◽  
Multiple Transmission

Совместный с прекодингом автовыбор антенн на приемной и передающей стороне - одно из перспективных направлений исследований для реализации технологий Multiple Transmission and Reception Points (Multi-TRP, множество точек передачи и приема) в системах со многими передающими и приемными антеннами Massive MIMO (Multiple-Input-Multiple-Output), которые активно развиваются в стандарте 5G. Проанализированы законодательные ограничения, влияющие на применимость технологий Massive MIMO, и специфика реализации разрабатываемого алгоритма в миллиметровомдиапа -зоне длин волн. Рассмотрены алгоритмы формирования матриц автовыбора антенн как на передающей, так и на приемной стороне. Сформулирована строгая математическая постановка задачи для двух критериев работы алгоритма: максимизация взаимной информации и минимизация среднеквадратичной ошибки. Joint precoding and antenna selection both on transmitter and receiver sides is one of the promising research areas for evolving toward the Multiple Transmission and Reception Points (Multi-TRP) concept in Massive MIMO systems. This technology is under active development in the coming 5G 3GPP releases. We analyze legal restrictions for the implementation of 5G Massive MIMO technologies in Russia and the specifics of the implementation of the developed algorithm in the millimeter wavelength range. Algorithms of antenna auto-selection matrices formation on both transmitting and receiving sides are considered. Two criteria are used for joint antenna selection and precoding: maximizing mutual information and minimizing mean square error.

scholarly journals Transceiver design for multiple-input multiple-output full-duplex amplify-and-forward relay communication systems

2019 ◽  
Vol 13 (1) ◽  
pp. 66-73 ◽  
Author(s):  
Yunlong Shao ◽  
Yongyu Dai ◽  
Thomas Aaron Gulliver ◽  
Xiaodai Dong
Keyword(s):  
Communication Systems ◽  
Multiple Input Multiple Output ◽  
Full Duplex ◽  
Amplify And Forward ◽  
Transceiver Design ◽  
Multiple Input ◽  
Relay Communication ◽  
Input Multiple Output

Evaluation of Complete Vehicle Over-The-Air Verification Methods for Multiple-Input Multiple-Output Communication Systems

2021 ◽  
Author(s):  
Christian S. Patane Lotback ◽  
Kristian Karlsson ◽  
Madeleine S. Kildal ◽  
Argjent Haliti ◽  
Mikael Nilsson ◽  
...  
Keyword(s):  
Communication Systems ◽  
Multiple Input Multiple Output ◽  
Complete Vehicle ◽  
Verification Methods ◽  
Multiple Input ◽  
Input Multiple Output

scholarly journals Deep Scanning—Beam Selection Based on Deep Reinforcement Learning in Massive MIMO Wireless Communication System

Electronics ◽  
2020 ◽  
Vol 9 (11) ◽  
pp. 1844
Author(s):  
Minhoe Kim ◽  
Woongsup Lee ◽  
Dong-Ho Cho
Keyword(s):  
Communication Systems ◽  
Large Scale ◽  
Multiple Input Multiple Output ◽  
Base Station ◽  
Q Learning ◽  
Multiple Input ◽  
Beam Selection ◽  
Input Multiple Output ◽  
Optimal Beam ◽  
Resource Allocation Scheme

In this paper, we investigate a deep learning based resource allocation scheme for massive multiple-input-multiple-output (MIMO) communication systems, where a base station (BS) with a large scale antenna array communicates with a user equipment (UE) using beamforming. In particular, we propose Deep Scanning, in which a near-optimal beamforming vector can be found based on deep Q-learning. Through simulations, we confirm that the optimal beam vector can be found with a high probability. We also show that the complexity required to find the optimum beam vector can be reduced significantly in comparison with conventional beam search schemes.

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