C. E. Ngene, P. Thakur, G. Singh, Prabhat Thakur E. Ngene, O. P. Thakur
{"title":"VL-NOMA系统中6G通信的功率分配策略综述","authors":"C. E. Ngene, P. Thakur, G. Singh, Prabhat Thakur E. Ngene, O. P. Thakur","doi":"10.1080/23080477.2023.2225944","DOIUrl":null,"url":null,"abstract":"ABSTRACT This paper discusses an overview of power allocation (PA) strategy for enabled sixth-generation (6 G) communication in visible light non-orthogonal multiple access (VL-NOMA) scenario. Light emitting diode (LED) deployed in the advancement of VL-NOMA 6 G limit-less efficiencies when complemented with radio frequency (RF)/millimeter-wave ( ), terahertz (THz), free-space optical (FSO) and VL. The encountered challenges in the currently deployed fifth generation (5 G) technology such as signal failures, low power, data loss, latency from (5 ), and loss of signal strength were solved with 6 G providing disruptive technologies, latency from ( ), massive connectivity, cell-less communications, modified machine learning algorithms, new security measures, more energy-efficient, infrastructure smart networking management, new spectrum, artificial intelligence (AI), disaggregation and virtualization supporting enough bandwidth, and increase data rate. The PA uses available power to distribute entire signals assigning power levels to multi-devices connected to VL-NOMA applications for envisioned virtual reality, unlocking all the possibilities of an indoor and outdoor transmission positioned to achieve superior accuracy, reliability and unlimited access. The 6 G 2030 roadmap positioning LED as a carrier assigning VL-NOMA PA techniques for a green solution improving high quality of services, higher data rate, reduced power consumption (using metasurface schemes), high capacity, energy efficiencies, low cost, illumination, communication and indication as detailed herein. Graphical abstract","PeriodicalId":53436,"journal":{"name":"Smart Science","volume":null,"pages":null},"PeriodicalIF":2.4000,"publicationDate":"2023-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Power allocation strategies for 6G communication in VL-NOMA systems: an overview\",\"authors\":\"C. E. Ngene, P. Thakur, G. Singh, Prabhat Thakur E. Ngene, O. P. Thakur\",\"doi\":\"10.1080/23080477.2023.2225944\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"ABSTRACT This paper discusses an overview of power allocation (PA) strategy for enabled sixth-generation (6 G) communication in visible light non-orthogonal multiple access (VL-NOMA) scenario. Light emitting diode (LED) deployed in the advancement of VL-NOMA 6 G limit-less efficiencies when complemented with radio frequency (RF)/millimeter-wave ( ), terahertz (THz), free-space optical (FSO) and VL. The encountered challenges in the currently deployed fifth generation (5 G) technology such as signal failures, low power, data loss, latency from (5 ), and loss of signal strength were solved with 6 G providing disruptive technologies, latency from ( ), massive connectivity, cell-less communications, modified machine learning algorithms, new security measures, more energy-efficient, infrastructure smart networking management, new spectrum, artificial intelligence (AI), disaggregation and virtualization supporting enough bandwidth, and increase data rate. The PA uses available power to distribute entire signals assigning power levels to multi-devices connected to VL-NOMA applications for envisioned virtual reality, unlocking all the possibilities of an indoor and outdoor transmission positioned to achieve superior accuracy, reliability and unlimited access. The 6 G 2030 roadmap positioning LED as a carrier assigning VL-NOMA PA techniques for a green solution improving high quality of services, higher data rate, reduced power consumption (using metasurface schemes), high capacity, energy efficiencies, low cost, illumination, communication and indication as detailed herein. 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Power allocation strategies for 6G communication in VL-NOMA systems: an overview
ABSTRACT This paper discusses an overview of power allocation (PA) strategy for enabled sixth-generation (6 G) communication in visible light non-orthogonal multiple access (VL-NOMA) scenario. Light emitting diode (LED) deployed in the advancement of VL-NOMA 6 G limit-less efficiencies when complemented with radio frequency (RF)/millimeter-wave ( ), terahertz (THz), free-space optical (FSO) and VL. The encountered challenges in the currently deployed fifth generation (5 G) technology such as signal failures, low power, data loss, latency from (5 ), and loss of signal strength were solved with 6 G providing disruptive technologies, latency from ( ), massive connectivity, cell-less communications, modified machine learning algorithms, new security measures, more energy-efficient, infrastructure smart networking management, new spectrum, artificial intelligence (AI), disaggregation and virtualization supporting enough bandwidth, and increase data rate. The PA uses available power to distribute entire signals assigning power levels to multi-devices connected to VL-NOMA applications for envisioned virtual reality, unlocking all the possibilities of an indoor and outdoor transmission positioned to achieve superior accuracy, reliability and unlimited access. The 6 G 2030 roadmap positioning LED as a carrier assigning VL-NOMA PA techniques for a green solution improving high quality of services, higher data rate, reduced power consumption (using metasurface schemes), high capacity, energy efficiencies, low cost, illumination, communication and indication as detailed herein. Graphical abstract
期刊介绍:
Smart Science (ISSN 2308-0477) is an international, peer-reviewed journal that publishes significant original scientific researches, and reviews and analyses of current research and science policy. We welcome submissions of high quality papers from all fields of science and from any source. Articles of an interdisciplinary nature are particularly welcomed. Smart Science aims to be among the top multidisciplinary journals covering a broad spectrum of smart topics in the fields of materials science, chemistry, physics, engineering, medicine, and biology. Smart Science is currently focusing on the topics of Smart Manufacturing (CPS, IoT and AI) for Industry 4.0, Smart Energy and Smart Chemistry and Materials. Other specific research areas covered by the journal include, but are not limited to: 1. Smart Science in the Future 2. Smart Manufacturing: -Cyber-Physical System (CPS) -Internet of Things (IoT) and Internet of Brain (IoB) -Artificial Intelligence -Smart Computing -Smart Design/Machine -Smart Sensing -Smart Information and Networks 3. Smart Energy and Thermal/Fluidic Science 4. Smart Chemistry and Materials