Satellite images acquired at night provide a visually arresting perspective of the Earth and the human activities that light up the otherwise mostly dark Earth. These night-time light satellite images can be compiled into a geospatial time series that represent an invaluable source of information for both the natural and social sciences. Night-time light remote sensing has been shown to be particularly useful for a range of natural science and social science applications, including studies relating to urban development, demography, sociology, fishing activity, light pollution and the consequences of civil war. Key sensors for these time-series include the Defense Meteorological Satellite Program's Operational Linescan System (DMSP/OLS) and the Suomi National Polar-orbiting Partnership Satellite's Visible Infrared Imaging Radiometer Suite Day/Night Band (Suomi NPP/VIIRS DNB). An increasing number of alternative sources are also available, including high spatial resolution and multispectral sensors. This book captures key methodological issues associated with pre-processing night-time light data, documents state of the art analysis methods, and explores a wide range of applications. Major sections focus on NPP/VIIRS DNB processing; inter-calibration between NPP/VIIRS and DMPS/OLS; applications associated with socio-economic activities, applications in monitoring urbanization; and fishing activity monitoring. The chapters in this book were originally published as a special issue of the International Journal of Remote Sensing.

Satellite images acquired at night provide a visually arresting perspective of the Earth and the human activities that light up the otherwise mostly dark Earth. These night-time light satellite images can be compiled into a geospatial time series that represent an invaluable source of information for both the natural and social sciences. Night-time light remote sensing has been shown to be particularly useful for a range of natural science and social science applications, including studies relating to urban development, demography, sociology, fishing activity, light pollution and the consequences of civil war. Key sensors for these time-series include the Defense Meteorological Satellite Program’s Operational Linescan System (DMSP/OLS) and the Suomi National Polar-orbiting Partnership Satellite’s Visible Infrared Imaging Radiometer Suite Day/Night Band (Suomi NPP/VIIRS DNB). An increasing number of alternative sources are also available, including high spatial resolution and multispectral sensors. This book captures key methodological issues associated with pre-processing night-time light data, documents state of the art analysis methods, and explores a wide range of applications. Major sections focus on NPP/VIIRS DNB processing; inter-calibration between NPP/VIIRS and DMPS/OLS; applications associated with socio-economic activities, applications in monitoring urbanization; and fishing activity monitoring. The chapters in this book were originally published as a special issue of the International Journal of Remote Sensing.

This is the first book to introduce UUDN for 5G, including the concept, challenges, architecture and key technologies. The new network architecture based on "de-cellular" and "user-centric" is proposed with three kinds of decoupling: user plane and control plane decoupling from radio access, control and transmission decoupling from network, local service and network service decoupling. Key characteristics of UUDN are provided, including four aspects: Intelligent network knows user, Moving network follows user, Dynamic network serves user, and Secured network protects user. Four promising technology directions are discussed in detail, including dynamic APs grouping (DAPGing) method, intelligent networking, advanced interference management and user-centric security. The authors also include a UUDN solution, illustrated with numerology and evaluation results as a practical example. Finally, further research directions of UUDN are analyzed. This book gives an overall introduction of UUDN for people who are interested and just begin their study, as well as some suggestions on further research for experts involved in academic, industrial and standardization activities on relative fields.

Xi Li presents innovative analytical models and algorithms for the dimensioning of the 3G UMTS Radio Access Network (RAN). The proposed analytical models allow efficient and accurate dimensioning for different evolutions of UMTS radio access technologies.