mobile communication
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2023 ◽  
Vol 1 (1) ◽  
pp. 1
Olalekan Ogunbiyi ◽  
Olusola Kunle Akinde ◽  
Ahmed Wasiu Akande ◽  
Akinyinka Olukunle Akande ◽  
Cosmas Kemdirim Agubor

2022 ◽  
Vol 63 ◽  
pp. 102440
Santha Vaithilingam ◽  
Mahendhiran Nair ◽  
Mary Macharia ◽  
Viswanath Venkatesh

Fatima Faydhe Al-Azzwi ◽  
Ruaa Ali Khamees ◽  
Zina Abdul Lateef ◽  
Batool Faydhe Al-Azzawi

<p>The next generation for mobile communication is new radio (NR) that supporting air interface which referred to the fifth generation or 5G. Long term evolution (LTE), universal mobile telecommunications system (UMTS), and global system for mobile communication (GSM) are 5G NR predecessors, also referred to as fourth generation (4G), third generation (3G) and second generation (2G) technologies. Pseudo-noise (PN) code length and modulation technique used in the 5G technology affect the output spectrum and the payload of DL-FRC specification, in this paper quadrature phase shift keying (QPSK), 16 QAM modulation approaches tested under additive white Gaussian noise (AWGN) in term of bit error rate (BER) which used with 5G technology system implemented with MATLAB-Simulink and programing and, resulting of 1672, 12296 bit/slot payload at frequency range FR1 from 450 MHz-6 GHz and 4424, 20496 bit/slot payload at frequency range FR2 from 24.25 GHz-52.6 GHz, also determining subcarrier spacing, allocated source block, duplex mode, payload bit/slot, RBW (KHz), sampling rate (MHz), the gain and the bandwidth of main, side loop where illustrated.</p>

Arun Agarwal ◽  
Chandan Mohanta ◽  
Gourav Misra

The 5G mobile communication has now become commercially available. Furthermore, research across the globe has begun to improve the system beyond 5G and it is anticipated that 6G will deliver higher quality services and energy efficiency than 5G. The mobile network architecture needs to be redesigned to meet the requirements of the future. In the wake of the commercial rollout of the 5G model, both users and developers have realized the limitations of the system when compared to the system's original premise of being able to support the vast applications of connected devices. The article discusses the related technologies that can contribute to a robust and seamless network service. An upheaval in the use of vast mobile applications, especially those powered and managed by AI, has opened the doors to discussion on how mobile communication will evolve in the future. 6G is expected to go beyond being merely a mobile internet service provider to support the omnipresent AI services that will form the rock bed of end-to-end connected network-based devices. Moreover, the technologies that support 6G services and comprehensive research that enables this level of technical prowess have also been identified here. This paper presents a collective wide-angle vision that will facilitate a better understanding of the features of the 6G system.

2022 ◽  
Vol 71 (2) ◽  
pp. 3243-3255
Mohammed H. Alsharif ◽  
Raju Kannadasan ◽  
Amir Y. Hassan ◽  
Wael Z. Tawfik ◽  
Mun-Kyeom Kim ◽  

2022 ◽  
Vol 1212 (1) ◽  
pp. 012046
Yingchi Mao ◽  
Andri Pranolo ◽  
Leonel Hernandez ◽  
Aji Prasetya Wibawa ◽  
Zalik Nuryana

Abstract In this paper, we elaborate on artificial intelligence (AI) techniques used to improve the performance of mobile communication. This article describes brief AI approaches in mobile communication, several classics AI techniques, and the current AI approaches in wireless communication. The techniques contain fuzzy logic, neural networks, reinforcement learning, and AI techniques implemented on mobile communication. Some keys or terms challenges between AI and future mobile communication, not only 5G generation issues but also how the sixth generation (6G) of mobile networks will be driven to give stable networks and service types on huge mobile devices and data.

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