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The Internet of Things (IoT) has attracted much attention from society, industry and academia as a promising technology that can enhance day to day activities, and the creation of new business models, products and services, and serve as a broad source of research topics and ideas. A future digital society is envisioned, composed of numerous wireless connected sensors and devices. Driven by huge demand, the massive IoT (mIoT) or massive machine type communication (mMTC) has been identified as one of the three main communication scenarios for 5G. In addition to connectivity, computing and storage and data management are also long-standing issues for low-cost devices and sensors. The book is a collection of outstanding technical research and industrial papers covering new research results, with a wide range of features within the 5G-and-beyond framework. It provides a range of discussions of the major research challenges and achievements within this topic.

fog computing --- heterogeneous networks --- distributed mechanism --- energy efficiency --- scheduling --- CSMA --- throughput --- grant-free --- D2D communication --- MAC --- Industrial Internet of Things --- estimation --- 5G --- survey --- liquid detection --- power control --- sensor --- SINR --- radio propagation --- MU association --- Raspberry Pi --- reliability --- latency --- deterministic --- Industry 4.0 --- stochastic geometry --- dielectric constant --- Cyber Physical System --- IoT --- successive interference cancellation --- URLLC --- end-to-end delay --- resource allocation --- polynomial interpolation --- industrial automation --- cloud computing --- mMTC --- smart factory --- deployment --- ultra-reliable and low-latency communications --- PHY --- aperiodic traffic --- NB-IoT --- irregular repetition slotted ALOHA --- edge computing --- time-critical --- eMBB --- medium access control --- M2M --- Internet of Things --- internet of things --- sensor network --- random access --- smart devices --- non-orthogonal multiple access --- USRP --- WCI --- narrowband --- congestion

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The emerging massive density of human-held and machine-type nodes implies larger traffic deviatiolns in the future than we are facing today. In the future, the network will be characterized by a high degree of flexibility, allowing it to adapt smoothly, autonomously, and efficiently to the quickly changing traffic demands both in time and space. This flexibility cannot be achieved when the network’s infrastructure remains static. To this end, the topic of UAVs (unmanned aerial vehicles) have enabled wireless communications, and networking has received increased attention. As mentioned above, the network must serve a massive density of nodes that can be either human-held (user devices) or machine-type nodes (sensors). If we wish to properly serve these nodes and optimize their data, a proper wireless connection is fundamental. This can be achieved by using UAV-enabled communication and networks. This Special Issue addresses the many existing issues that still exist to allow UAV-enabled wireless communications and networking to be properly rolled out.

Technology: general issues --- History of engineering & technology --- unmanned aerial vehicle --- UAV positioning --- machine learning --- wireless communications --- drones --- network --- DTN --- mobility schedule --- routing algorithms --- data delivery --- Internet of drones --- communication --- security --- privacy --- UAV base station --- MIMO --- millimeter-wave band --- blind beamforming --- signal recovery --- UAV relay networks --- resource management --- transmit time allocation --- unmanned aerial vehicles --- dynamic spectrum access --- quality of service --- reinforcement learning --- multi-armed bandit --- aerial communication --- FANET --- not-spots --- stratospheric communication platform --- UAV --- UAV-assisted network --- 5G --- global positioning system --- GPS spoofing attacks --- detection techniques --- dynamic selection --- hyperparameter tuning --- IoT --- RF radio communication --- Wi-Fi direct --- D2D --- drone-based mobile secure zone --- friendly jamming --- mobility --- internet of things --- non-orthogonal multiple access --- resource allocation --- ultra reliable low latency communication --- uplink transmission --- Deep Q-learning (DQL) --- Double Deep Q-learning (DDQL) --- dynamic spectrum sharing --- High Altitude Platform Station (HAPS) --- cellular communications --- power control --- interference management --- cognitive UAV networks --- clustered two-stage-fusion cooperative spectrum sensing --- continuous hidden Markov model --- SNR estimation --- n/a

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• Reference Manager
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The emerging massive density of human-held and machine-type nodes implies larger traffic deviatiolns in the future than we are facing today. In the future, the network will be characterized by a high degree of flexibility, allowing it to adapt smoothly, autonomously, and efficiently to the quickly changing traffic demands both in time and space. This flexibility cannot be achieved when the network’s infrastructure remains static. To this end, the topic of UAVs (unmanned aerial vehicles) have enabled wireless communications, and networking has received increased attention. As mentioned above, the network must serve a massive density of nodes that can be either human-held (user devices) or machine-type nodes (sensors). If we wish to properly serve these nodes and optimize their data, a proper wireless connection is fundamental. This can be achieved by using UAV-enabled communication and networks. This Special Issue addresses the many existing issues that still exist to allow UAV-enabled wireless communications and networking to be properly rolled out.

Technology: general issues --- History of engineering & technology --- unmanned aerial vehicle --- UAV positioning --- machine learning --- wireless communications --- drones --- network --- DTN --- mobility schedule --- routing algorithms --- data delivery --- Internet of drones --- communication --- security --- privacy --- UAV base station --- MIMO --- millimeter-wave band --- blind beamforming --- signal recovery --- UAV relay networks --- resource management --- transmit time allocation --- unmanned aerial vehicles --- dynamic spectrum access --- quality of service --- reinforcement learning --- multi-armed bandit --- aerial communication --- FANET --- not-spots --- stratospheric communication platform --- UAV --- UAV-assisted network --- 5G --- global positioning system --- GPS spoofing attacks --- detection techniques --- dynamic selection --- hyperparameter tuning --- IoT --- RF radio communication --- Wi-Fi direct --- D2D --- drone-based mobile secure zone --- friendly jamming --- mobility --- internet of things --- non-orthogonal multiple access --- resource allocation --- ultra reliable low latency communication --- uplink transmission --- Deep Q-learning (DQL) --- Double Deep Q-learning (DDQL) --- dynamic spectrum sharing --- High Altitude Platform Station (HAPS) --- cellular communications --- power control --- interference management --- cognitive UAV networks --- clustered two-stage-fusion cooperative spectrum sensing --- continuous hidden Markov model --- SNR estimation --- unmanned aerial vehicle --- UAV positioning --- machine learning --- wireless communications --- drones --- network --- DTN --- mobility schedule --- routing algorithms --- data delivery --- Internet of drones --- communication --- security --- privacy --- UAV base station --- MIMO --- millimeter-wave band --- blind beamforming --- signal recovery --- UAV relay networks --- resource management --- transmit time allocation --- unmanned aerial vehicles --- dynamic spectrum access --- quality of service --- reinforcement learning --- multi-armed bandit --- aerial communication --- FANET --- not-spots --- stratospheric communication platform --- UAV --- UAV-assisted network --- 5G --- global positioning system --- GPS spoofing attacks --- detection techniques --- dynamic selection --- hyperparameter tuning --- IoT --- RF radio communication --- Wi-Fi direct --- D2D --- drone-based mobile secure zone --- friendly jamming --- mobility --- internet of things --- non-orthogonal multiple access --- resource allocation --- ultra reliable low latency communication --- uplink transmission --- Deep Q-learning (DQL) --- Double Deep Q-learning (DDQL) --- dynamic spectrum sharing --- High Altitude Platform Station (HAPS) --- cellular communications --- power control --- interference management --- cognitive UAV networks --- clustered two-stage-fusion cooperative spectrum sensing --- continuous hidden Markov model --- SNR estimation

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Multiple-input, multiple-output (MIMO), which transmits multiple data streams via multiple antenna elements, is one of the most attractive technologies in the wireless communication field. Its extension, called ‘massive MIMO’ or ‘large-scale MIMO’, in which base station has over one hundred of the antenna elements, is now seen as a promising candidate to realize 5G and beyond, as well as 6G mobile communications. It has been the first decade since its fundamental concept emerged. This Special Issue consists of 19 papers and each of them focuses on a popular topic related to massive MIMO systems, e.g. analog/digital hybrid signal processing, antenna fabrication, and machine learning incorporation. These achievements could boost its realization and deepen the academic and industrial knowledge of this field.

History of engineering & technology --- Energy industries & utilities --- distributed massive MIMO --- phase noise --- amplified thermal noise --- spectral efficiency --- 5G --- massive MIMO --- computational efficiency --- precoding algorithms --- channel estimation --- far-field --- antenna array --- diagnosis procedure --- noisy data --- BCS --- millimeter-wave --- energy efficiency --- pilot contamination --- quantization noise --- massive multi-input multi-output (MIMO) --- distributed antenna systems (DAS) --- sounding reference signal (SRS) --- Massive MIMO --- pilot decontamination --- MSE --- dynamic user scheduling --- dynamic pilot allocation --- beamforming --- line-of-sight --- Ricean fading --- frequency-selective --- power scaling --- hybrid beamforming --- HetNets --- mmWaves --- analog multi-beam --- hybrid beam-forming --- PHY layer --- MAC layer --- pilot assignment --- large-scale fading coefficients --- Bayesian inference --- overcomplete dictionary --- diamond-ring slot --- dual-polarized antenna --- mobile-phone antenna --- pattern diversity --- Metamaterials (MTM) --- leaky-wave antenna (LWA) --- antenna arrays --- substrate integrated waveguide (SIW) --- transverse slots --- beam-scanning --- mutual coupling isolation --- millimetre-wave --- composite right/left-handed transmission line (CRLH-TL) --- 5G wireless networks --- non-coherent detection --- QAM --- multi-user MIMO --- space division multiple access (SDMA) --- block diagonalization (BD) --- non-orthogonal multiple access (NOMA) --- broadcast channel --- discontinuous deception --- multiple beam communications --- artificial intelligence --- wireless communications --- non-orthogonal unicast and multicast transmission --- statistical channel state information --- beam domain --- massive MIMO systems --- MIDE algorithm --- low computational complexity --- BER --- resource allocation --- distributed massive MIMO --- phase noise --- amplified thermal noise --- spectral efficiency --- 5G --- massive MIMO --- computational efficiency --- precoding algorithms --- channel estimation --- far-field --- antenna array --- diagnosis procedure --- noisy data --- BCS --- millimeter-wave --- energy efficiency --- pilot contamination --- quantization noise --- massive multi-input multi-output (MIMO) --- distributed antenna systems (DAS) --- sounding reference signal (SRS) --- Massive MIMO --- pilot decontamination --- MSE --- dynamic user scheduling --- dynamic pilot allocation --- beamforming --- line-of-sight --- Ricean fading --- frequency-selective --- power scaling --- hybrid beamforming --- HetNets --- mmWaves --- analog multi-beam --- hybrid beam-forming --- PHY layer --- MAC layer --- pilot assignment --- large-scale fading coefficients --- Bayesian inference --- overcomplete dictionary --- diamond-ring slot --- dual-polarized antenna --- mobile-phone antenna --- pattern diversity --- Metamaterials (MTM) --- leaky-wave antenna (LWA) --- antenna arrays --- substrate integrated waveguide (SIW) --- transverse slots --- beam-scanning --- mutual coupling isolation --- millimetre-wave --- composite right/left-handed transmission line (CRLH-TL) --- 5G wireless networks --- non-coherent detection --- QAM --- multi-user MIMO --- space division multiple access (SDMA) --- block diagonalization (BD) --- non-orthogonal multiple access (NOMA) --- broadcast channel --- discontinuous deception --- multiple beam communications --- artificial intelligence --- wireless communications --- non-orthogonal unicast and multicast transmission --- statistical channel state information --- beam domain --- massive MIMO systems --- MIDE algorithm --- low computational complexity --- BER --- resource allocation

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• Reference Manager
• EndNote
• RefWorks (Direct export to RefWorks)

Multiple-input, multiple-output (MIMO), which transmits multiple data streams via multiple antenna elements, is one of the most attractive technologies in the wireless communication field. Its extension, called ‘massive MIMO’ or ‘large-scale MIMO’, in which base station has over one hundred of the antenna elements, is now seen as a promising candidate to realize 5G and beyond, as well as 6G mobile communications. It has been the first decade since its fundamental concept emerged. This Special Issue consists of 19 papers and each of them focuses on a popular topic related to massive MIMO systems, e.g. analog/digital hybrid signal processing, antenna fabrication, and machine learning incorporation. These achievements could boost its realization and deepen the academic and industrial knowledge of this field.

History of engineering & technology --- Energy industries & utilities --- distributed massive MIMO --- phase noise --- amplified thermal noise --- spectral efficiency --- 5G --- massive MIMO --- computational efficiency --- precoding algorithms --- channel estimation --- far-field --- antenna array --- diagnosis procedure --- noisy data --- BCS --- millimeter-wave --- energy efficiency --- pilot contamination --- quantization noise --- massive multi-input multi-output (MIMO) --- distributed antenna systems (DAS) --- sounding reference signal (SRS) --- Massive MIMO --- pilot decontamination --- MSE --- dynamic user scheduling --- dynamic pilot allocation --- beamforming --- line-of-sight --- Ricean fading --- frequency-selective --- power scaling --- hybrid beamforming --- HetNets --- mmWaves --- analog multi-beam --- hybrid beam-forming --- PHY layer --- MAC layer --- pilot assignment --- large-scale fading coefficients --- Bayesian inference --- overcomplete dictionary --- diamond-ring slot --- dual-polarized antenna --- mobile-phone antenna --- pattern diversity --- Metamaterials (MTM) --- leaky-wave antenna (LWA) --- antenna arrays --- substrate integrated waveguide (SIW) --- transverse slots --- beam-scanning --- mutual coupling isolation --- millimetre-wave --- composite right/left-handed transmission line (CRLH-TL) --- 5G wireless networks --- non-coherent detection --- QAM --- multi-user MIMO --- space division multiple access (SDMA) --- block diagonalization (BD) --- non-orthogonal multiple access (NOMA) --- broadcast channel --- discontinuous deception --- multiple beam communications --- artificial intelligence --- wireless communications --- non-orthogonal unicast and multicast transmission --- statistical channel state information --- beam domain --- massive MIMO systems --- MIDE algorithm --- low computational complexity --- BER --- resource allocation --- n/a