6G Mobile Communication Technology: Requirements, Targets, Applications, Challenges, Advantages, and Opportunities

Fifth generation (5G) is a recent wireless communication technology in mobile networks. The key parameters of 5G are enhanced coverage, ultra reliable low latency, high data rates, massive connectivity and better support to mobility. Enhanced coverage is one of the major issues in the 5G and beyond 5G networks, which will be affecting the overall system performance and end user experience. The increasing number of base stations may increase the coverage but it leads to interference between the cell edge users, which in turn impacts the coverage. Therefore, enhanced coverage is one of the future challenging issues in cellular networks. In this survey, coverage enhancement techniques are explored to improve the overall system performance, throughput, coverage capacity, spectral efficiency, outage probability, data rates, and latency. The main aim of this article is to highlight the recent developments and deployments made towards the enhanced network coverage and to discuss its future research challenges.

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“…In the literature, several studies have focused on 6G networks [ 194 , 195 , 196 , 197 , 198 , 199 , 200 , 201 ]. In Ref.…”

Section: 6g and Its Challengesmentioning

confidence: 99%

“…It is necessary for 6G capabilities to be realised at scale for extremely immersive applications such as 3D communication, virtual reality, and digital twins [ 200 ]. The advantages of the upcoming 6G technology for processing real-time applications on edge networks have been discussed [ 201 ].…”

Section: 6g and Its Challengesmentioning

confidence: 99%

A Survey on 5G Coverage Improvement Techniques: Issues and Future Challenges

Sudhamani

Roslee

Tiang

et al. 2023

Sensors

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“…As the premise of signal demodulation, radio signal modulation recognition is an important research content in the field of communication. It plays an important role in military and civil communications, and is of great significance to future 6G communications [ 1 ]. However, due to the complexity of the signal transmission environment and the problems of the receiving equipment, the received signal always has a certain amount of noise, which brings difficulties to the modulation recognition of the received signal.…”

Section: Introductionmentioning

confidence: 99%

A Method of Noise Reduction for Radio Communication Signal Based on RaGAN

Peng

Fang

Fan

et al. 2023

Sensors

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Radio signals are polluted by noise in the process of channel transmission, which will lead to signal distortion. Noise reduction of radio signals is an effective means to eliminate the impact of noise. Using deep learning (DL) to denoise signals can reduce the dependence on artificial domain knowledge, while traditional signal-processing-based denoising methods often require knowledge of the artificial domain. Aiming at the problem of noise reduction of radio communication signals, a radio communication signal denoising method based on the relativistic average generative adversarial networks (RaGAN) is proposed in this paper. This method combines the bidirectional long short-term memory (Bi-LSTM) model, which is good at processing time-series data with RaGAN, and uses the weighted loss function to construct a noise reduction model suitable for radio communication signals, which realizes the end-to-end denoising of radio signals. The experimental results show that, compared with the existing methods, the proposed algorithm has significantly improved the noise reduction effect. In the case of a low signal-to-noise ratio (SNR), the signal modulation recognition accuracy is improved by about 10% after noise reduction.

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“…Specifically, deep connectivity represents deep learning, deep mind, and deep sensing. For more information, authors in Banafaa, Shayea, et al (2022) provide a brief review of 6G mobile communication technology.…”

Section: Introductionmentioning

confidence: 99%

Evolution toward intelligent communications: Impact of deep learning applications on the future of 6G technology

Abd Elaziz,

Al‐qaness,

Dahou

et al. 2023

WIREs Data Min & Knowl

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The sixth generation (6G) represents the next evolution in wireless communication technology and is currently under research and development. It is expected to deliver faster speeds, reduced latency, and greater capacity compared to the current 5G wireless technology. 6G is envisioned as a technology capable of establishing a fully data‐driven network, proficient in analyzing and optimizing end‐to‐end behavior and handling massive volumes of real‐time data at rates of up to terabits per second (Tb/s). Moreover, 6G is designed to accommodate an average of 1000+ substantial connections per person over the course of a decade. The concept of a data‐driven network introduces a new service paradigm, which offers fresh opportunities for applications within 6G wireless communication and network design in the future. This paper aims to provide a survey of existing applications of 6G that are based on deep learning techniques. It also explores the potential, essential technologies, scenarios, challenges, and related topics associated with 6G. These aspects are crucial for meeting the requirements for the development of future intelligent networks. Furthermore, this work delves into various research gaps between deep learning and 6G that remain unexplored. Different potential deep learning applications for 6G networks, including privacy, security, environmentally friendly communication, sustainability, and various wireless applications, are discussed. Additionally, we shed light on the challenges and future trends in this field.This article is categorized under: Technologies > Computational Intelligence Fundamental Concepts of Data and Knowledge > Explainable AI Technologies > Machine Learning

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6G Mobile Communication Technology: Requirements, Targets, Applications, Challenges, Advantages, and Opportunities

Cited by 185 publications

References 86 publications

A Survey on 5G Coverage Improvement Techniques: Issues and Future Challenges

A Survey on 5G Coverage Improvement Techniques: Issues and Future Challenges

A Method of Noise Reduction for Radio Communication Signal Based on RaGAN

Evolution toward intelligent communications: Impact of deep learning applications on the future of 6G technology

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