Towards 6G wireless networks-challenges and potential technologies

Ahmed, Rezwana; Matin, Mohammad A.

doi:10.2478/jee-2020-0040

Cited by 20 publications

(15 citation statements)

References 30 publications

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“…At a little lower altitude than satellites, UAVs functions as either mobile base stations while being afloat in space to cover a large footprint of terrestrial mobile users or act as relays (hotspots) to extend the coverage of base stations where the mobile infrastructure is hard to setup and thereby serve a greater number of users [18]. One of the foreseen applications of UAV communication in 6G networks will be to provide rural connectivity at a reduced cost [76,151]. Features of UAV communication: Easy deployment and network setup are critical features of UAV to enable flexible range extension or coverage enhancement of wireless communication.…”

Section: Space Communicationmentioning

confidence: 99%

6G Ecosystem: Current Status and Future Perspective

Bhat¹,

AlQahtani

2021

IEEE Access

192

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Next-generation of the cellular network will attempt to overcome the limitations of the current Fifth Generation (5G) networks and equip itself to address the challenges which become obvious in the future. Currently, academia and industry have focused their attention on the Sixth Generation (6G) network, which is anticipated to be the next big game-changer in the telecom industry. The outbreak of COVID'19 has made the whole world to opt for virtual meetings, live video interactions ranging from healthcare, business to education. However, we miss an immersive experience due to the lack of supporting technology. Experts have anticipated that starting from the post-pandemic age, the performance requirements of technology for virtual and real-time communication, the rise of several verticals such as industrial automation, robotics, and autonomous driving will increase tremendously, and will skyrocket during the next decade. In this manuscript, we study the latest perspectives and future megatrends that are most likely to drive 6G. Initially, we describe the instances that lead us to the vision of 6G. Later, we narrate some of the use cases and the KPIs essential to meet their performance requirement. Further, we highlight the key requirements of 6G based on contemporary research such as UN sustainability goals, business model, edge intelligence, digital divide, and the trends in machine learning for 6G.

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Section: Space Communicationmentioning

confidence: 99%

6G Ecosystem: Current Status and Future Perspective

Bhat¹,

AlQahtani

2021

IEEE Access

192

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“…Three articles [43][44][45] presented a systematic overview of 6G that focuses on prospects and development, core techniques, applicable scenarios, and challenges, and proposes a framework for the 6G network, as well as an overview of the first five generations of wireless systems, followed by a survey on the 6G wireless network, as well as a discussion on the possible requirements and challenges.…”

Section: Review and Survey Articlesmentioning

confidence: 99%

“…Securing 5G hetNets using mutual physical layer authentication [117,200] 6-VLC Communication Overview of the first five generations of wireless systems. [43,45,63,64,198] Malicious behavior how to ensure seamless operability (including, but not limited to, authorization, security, service provisioning, accounting, etc.). [76,108,206]…”

Section: Authenticationmentioning

confidence: 99%

From 5G to 6G Technology: Meets Energy, Internet-of-Things and Machine Learning: A Survey

Mahdi

Ahmad

Qassim³

et al. 2021

Applied Sciences

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Due to the rapid development of the fifth-generation (5G) applications, and increased demand for even faster communication networks, we expected to witness the birth of a new 6G technology within the next ten years. Many references suggested that the 6G wireless network standard may arrive around 2030. Therefore, this paper presents a critical analysis of 5G wireless networks’, significant technological limitations and reviews the anticipated challenges of the 6G communication networks. In this work, we have considered the applications of three of the highly demanding domains, namely: energy, Internet-of-Things (IoT) and machine learning. To this end, we present our vision on how the 6G communication networks should look like to support the applications of these domains. This work presents a thorough review of 370 papers on the application of energy, IoT and machine learning in 5G and 6G from three major libraries: Web of Science, ACM Digital Library, and IEEE Explore. The main contribution of this work is to provide a more comprehensive perspective, challenges, requirements, and context for potential work in the 6G communication standard.

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“…International standardization organizations such as the 3rd Generation Partner Project (3GPP) and International Telecommunications Union (ITU) regard the satellite communication system as one of the important scenarios in researches of the next generation communication system. And satellite communications have been included in researches of non-terrestrial networks (NTN) and 6G [1,2,3]. Different from terrestrial mobile networks and existing narrowband satellite networks, next generation satellite communications (NGSC) will be combined with 5G communication systems [4,5,6,7,8].…”

Section: Introductionmentioning

confidence: 99%

A novel accurate and low-complexity behavior model for IMUX-HPA-OMUX of LEO satellite based on iterative compensation of cascade modeling errors

Deng

Liu

Wang

et al. 2021

IEICE Electron. Express

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Next generation satellite communications (NGSC) evolved by 5G NR combination is the hot issue in recent researches. For the conditions of new frequency (Ku/Ka/Q/V) and much more broadband (>100MHz) for satellite mobile communications, the obvious nonlinearity by Input Multiplexing (IMUX) filter, High Power Amplifier (HPA), and Output Multiplexing (OMUX) filter will cause serious signals degradation. Traditional behavioral modeling methods of IMUX filter, HPA, and OMUX filter (IHO) are relatively independent of each other, which is difficult to quantitatively evaluate intrinsic modeling errors and cumulative modeling errors. That makes modeling errors of IHO cannot be compensated accurately. In this paper, we are the first to exploit a quantitative evaluation of cascade modeling errors for IHO. A novel accurate and lowcomplexity behavior model for IHO of LEO satellite based on the iterative compensation of cascade modeling errors (ICCE-IHO) is proposed. Based on the normalized least mean square (NLMS) algorithm, the ICCE-IHO model realizes accurate modeling and low-complexity. Experimental results show that the ICCE-IHO model can achieve a maximum 0.67dB improvement in Normalized Mean Square Error (NMSE), a maximum 2.24dB improvement in Adjacent Channel Error Power Ratio (ACEPR), and the hardware resource consumption is reduced by 28%.

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Towards 6G wireless networks-challenges and potential technologies

Cited by 20 publications

References 30 publications

6G Ecosystem: Current Status and Future Perspective

6G Ecosystem: Current Status and Future Perspective

From 5G to 6G Technology: Meets Energy, Internet-of-Things and Machine Learning: A Survey

A novel accurate and low-complexity behavior model for IMUX-HPA-OMUX of LEO satellite based on iterative compensation of cascade modeling errors

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