MmWave massive MIMO small cells for 5G and beyond mobile networks: An overview

Mchangama, Aboubacar; Ayadi, Jaouhar; Jiménez, Víctor P. Gil; Consoli, Angelo

doi:10.1109/csndsp49049.2020.9249602

Cited by 14 publications

(6 citation statements)

References 41 publications

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“…The Multi-input multi-output technology (MIMO) has been almost a decade, but equipping base stations (BS) with multiple antennas is a new concept in 5G and beyond 5G (B5G), called massive MIMO (mMIMO) [95,[112][113][114]. The mMIMO has proven an efficient player for industrial Internet of things (IIoT) networks [115], mobile edge computing [116], virtual reality [117], 5G wireless communication networks [118], autonomous driving [119], augmented reality [120] and wireless sensor networks [121][122][123].…”

Section: Massive Mimomentioning

confidence: 99%

From 5G to beyond 5G: A Comprehensive Survey of Wireless Network Evolution, Challenges, and Promising Technologies

et al. 2023

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The histrionic growth of mobile subscribers, disruptive ecosystems such as IoT-based applications, and astounding channel capacity requirements to connect trillions of devices are massive challenges of the earlier mobile generations, 5G turned up the key solution. The prime objective of the 5G network is not only to maintain a 1000-fold capacity gain and 10 Giga Bits per second delivered to a single user, but it also assured quality-of-service, higher spectral efficiency, the ultra-reliable and improved battery lifetime of devices and massive machine-type communication (mMTC). The huge traffic load and high amount of resource consumption in 5G applications, augmented reality and virtual reality for magnificent virtual experience, and wireless body area networks will seriously affect the channel capacity of cellular cells and interrupt the admission and service of other users which makes compulsory new means of channel capacity and spectral efficiency enhancement techniques. In this research, we review several key emerging wireless technologies to increase channel capacity and spectral efficiency that will not only lead to improve network performance but also meets the ever-increasing user demands. We investigate various benefits and current research challenges of using these technologies. We analyze massive multi-input multi-output technology (mMIMO) an efficient technique and promising solution for the 5G and Beyond 5G (B5G) networks with several benefits and features. Moreover, this paper will be of vast help to the researchers who will involve advance investigation and also to the wireless network operator industry that is in the search for smooth development of state-of-the-art 5G and B5G networks.

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Section: Massive Mimomentioning

confidence: 99%

From 5G to beyond 5G: A Comprehensive Survey of Wireless Network Evolution, Challenges, and Promising Technologies

et al. 2023

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“…In addition to improved communication features, 5G networks are also expected to enable highly accurate device or user node positioning. This is made possible according to (Mchangama, 2020;Nguyen and Kountouris, 2017) by the use of advanced positioning technologies such as beamforming, massive MIMO, and network densification. The information related to the position determined by the sensors on vehicles or infrastructure poles (cameras, radars, lidars) should be strengthened and combined with the position determined by the network for more accurate results (Căruntu et al, 2021).…”

Section: Use Cases and Kpis Relevant For Positioningmentioning

confidence: 99%

Positioning Key Elements for Increasing Localization Precision of the VRUs in 5G NR Environments

Militaru,

Bogdan,

Comșa

et al. 2022

Bulletin of the Polytechnic Institute of Iași. Electrical Engineering, Power Engineering, Electronics Section

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The growing number of road accidents and fatalities created a necessity for applications exploiting communication between traffic actors like vehicles, vulnerable road users (VRUs), and infrastructure. To determine the vehicle position and to communicate this data to the traffic users, the vehicles and user’s smart devices are equipped with communication modules and positioning modules. The fifth generation (5G) cellular network promises to respond to the requirements of a city traffic management by: ultra-low latency, reliability, and position determined with high precision. The 3GPP Release 16 mobile communications standard details the use-cases of the industrial verticals and their requirements, the most important key performance indicators (KPIs), and technologies that the new radio (NR) architectural component uses to obtain the position information. 3GPP Release 16 targets a positioning accuracy between 1 and 3 meters for traffic monitoring and control, as well as for wearable devices. Moreover, the standard specifies the most common solutions that the 5G technology can support. This paper aims at presenting the context of the positioning essentials that the 5G NR can support, which are necessary to achieve road users’ protection and congestion avoidance within an urban area.

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“…At the same time, the beamforming, directed transmission, and higher distribution deployment density of base stations are the best countermeasures to tackle these problems. These state-of-the-art solutions allow mmWave to work with the modernized wireless technologies and architecture [246].…”

Section: Signaling Techniques For 5gmentioning

confidence: 99%

Machine Learning for Physical Layer in 5G and beyond Wireless Networks: A Survey

et al. 2021

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Fifth-generation (5G) technology will play a vital role in future wireless networks. The breakthrough 5G technology will unleash a massive Internet of Everything (IoE), where billions of connected devices, people, and processes will be simultaneously served. The services provided by 5G include several use cases enabled by the enhanced mobile broadband, massive machine-type communications, and ultra-reliable low-latency communication. Fifth-generation networks potentially merge multiple networks on a single platform, providing a landscape for seamless connectivity, particularly for high-mobility devices. With their enhanced speed, 5G networks are prone to various research challenges. In this context, we provide a comprehensive survey on 5G technologies that emphasize machine learning-based solutions to cope with existing and future challenges. First, we discuss 5G network architecture and outline the key performance indicators compared to the previous and upcoming network generations. Second, we discuss next-generation wireless networks and their characteristics, applications, and use cases for fast connectivity to billions of devices. Then, we confer physical layer services, functions, and issues that decrease the signal quality. We also present studies on 5G network technologies, 5G propelling trends, and architectures that help to achieve the goals of 5G. Moreover, we discuss signaling techniques for 5G massive multiple-input and multiple-output and beam-forming techniques to enhance data rates with efficient spectrum sharing. Further, we review security and privacy concerns in 5G and standard bodies’ actionable recommendations for policy makers. Finally, we also discuss emerging challenges and future directions.

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MmWave massive MIMO small cells for 5G and beyond mobile networks: An overview

Cited by 14 publications

References 41 publications

From 5G to beyond 5G: A Comprehensive Survey of Wireless Network Evolution, Challenges, and Promising Technologies

From 5G to beyond 5G: A Comprehensive Survey of Wireless Network Evolution, Challenges, and Promising Technologies

Positioning Key Elements for Increasing Localization Precision of the VRUs in 5G NR Environments

Machine Learning for Physical Layer in 5G and beyond Wireless Networks: A Survey

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