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用于5G以上无线通信网络的先进物理层技术。

Advanced Physical-Layer Technologies for Beyond 5G Wireless Communication Networks.

作者信息

Khalid Waqas, Yu Heejung, Ali Rashid, Ullah Rehmat

机构信息

Institute of Industrial Technology, Korea University, Sejong 30019, Korea.

Department of Electronics and Information Engineering, Korea University, Sejong 30019, Korea.

出版信息

Sensors (Basel). 2021 May 4;21(9):3197. doi: 10.3390/s21093197.

DOI:10.3390/s21093197
PMID:34064495
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8124900/
Abstract

Fifth-generation (5G) networks will not satisfy the requirements of the latency, bandwidth, and traffic density in 2030 and beyond, and next-generation wireless communication networks with revolutionary enabling technologies will be required. Beyond 5G (B5G)/sixth-generation (6G) networks will achieve superior performance by providing advanced functions such as ultralow latency, ultrahigh reliability, global coverage, massive connectivity, and better intelligence and security levels. Important aspects of B5G/6G networks require the modification and exploitation of promising physical-layer technologies. This Special Issue (SI) presents research efforts to identify and discuss the novel techniques, technical challenges, and promising solution methods of physical-layer technologies with a vision of potential involvement in the B5G/6G era. In particular, this SI presents innovations and concepts, including nonorthogonal multiple access, massive multiple-input multiple-output (MIMO), energy harvesting, hybrid satellite terrestrial relays, Internet of Things-based home automation, millimeter-wave bands, device-to-device communication, and artificial-intelligence or machine-learning techniques. Further, this SI covers the proposed solutions, including MIMO antenna design, modulation detection, interference management, hybrid precoding, and statistical beamforming along with their performance improvements in terms of performance metrics, including bit error rate, outage probability, ergodic sum rate, spectrum efficiency, and energy efficiency.

摘要

第五代(5G)网络将无法满足2030年及以后对延迟、带宽和流量密度的要求,因此将需要具备革命性使能技术的下一代无线通信网络。超5G(B5G)/第六代(6G)网络将通过提供诸如超低延迟、超高可靠性、全球覆盖、大规模连接以及更高的智能和安全级别等先进功能来实现卓越性能。B5G/6G网络的重要方面需要对有前景的物理层技术进行改进和利用。本期专题(SI)展示了相关研究成果,旨在识别和讨论物理层技术的新颖技术、技术挑战以及有前景的解决方法,以期参与到B5G/6G时代。特别是,本期专题展示了创新和概念,包括非正交多址接入、大规模多输入多输出(MIMO)、能量收集、混合卫星地面中继、基于物联网的家庭自动化、毫米波频段、设备到设备通信以及人工智能或机器学习技术。此外,本期专题涵盖了所提出的解决方案,包括MIMO天线设计、调制检测、干扰管理、混合预编码和统计波束成形,以及它们在误码率、中断概率、遍历和速率、频谱效率和能量效率等性能指标方面的性能提升。

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A Two-Hop mmWave MIMO NR-Relay Nodes to Enhance the Average System Throughput and BER in Outdoor-to-Indoor Environments.一种双跳毫米波 MIMO NR 中继节点,可提高室外到室内环境中的平均系统吞吐量和误码率。
Sensors (Basel). 2021 Feb 16;21(4):1372. doi: 10.3390/s21041372.
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Machine Learning for 5G MIMO Modulation Detection.机器学习在 5G MIMO 调制检测中的应用。
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Inter-Beam Co-Channel Downlink and Uplink Interference for 5G New Radio in mm-Wave Bands.毫米波频段5G新无线电的波束间同频下行链路和上行链路干扰
Sensors (Basel). 2021 Jan 25;21(3):793. doi: 10.3390/s21030793.
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Dual Band and Dual Diversity Four-Element MIMO Dipole for 5G Handsets.用于 5G 手机的双频双分集四元 MIMO 天线
Sensors (Basel). 2021 Jan 24;21(3):767. doi: 10.3390/s21030767.
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