You may have to Search all our reviewed books and magazines, click the sign up button below to create a free account.
Covering the key functional areas of LTE Self-Organising Networks (SON), this book introduces the topic at an advanced level before examining the state-of-the-art concepts. The required background on LTE network scenarios, technologies and general SON concepts is first given to allow readers with basic knowledge of mobile networks to understand the detailed discussion of key SON functional areas (self-configuration, -optimisation, -healing). Later, the book provides details and references for advanced readers familiar with LTE and SON, including the latest status of 3GPP standardisation. Based on the defined next generation mobile networks (NGMN) and 3GPP SON use cases, the book elaborates t...
This book constitutes the refereed post-proceedings of the 7th CMDA International Conference, CIC 2002, held in Seoul, Korea, in October/November 2002. The 52 revised full papers presented were carefully selected during two rounds of reviewing and post-conference improvements from 140 conference presentations. The papers are organized in topical sections on modulation and coding, cellular mobile communications, IMT-2000 systems, 4G mobile systems and technology, software defined radio, wireless LAN and wireless QoS, multiple access technology, wireless multimedia services, resource management, mobility management and mobile IP, and mobile and wireless systems.
A comprehensive review to the theory, application and research of machine learning for future wireless communications In one single volume, Machine Learning for Future Wireless Communications provides a comprehensive and highly accessible treatment to the theory, applications and current research developments to the technology aspects related to machine learning for wireless communications and networks. The technology development of machine learning for wireless communications has grown explosively and is one of the biggest trends in related academic, research and industry communities. Deep neural networks-based machine learning technology is a promising tool to attack the big challenge in w...
Selected, peer reviewed papers from the 2012 International Conference on Smart Technologies for Materials and Communication (ICSTMC 2012), March 15-16, 2012, Melbourne, Australia
Written by experts actively involved in the 3GPP standards and product development, LTE for UMTS, Second Edition gives a complete and up-to-date overview of Long Term Evolution (LTE) in a systematic and clear manner. Building upon on the success of the first edition, LTE for UMTS, Second Edition has been revised to now contain improved coverage of the Release 8 LTE details, including field performance results, transport network, self optimized networks and also covering the enhancements done in 3GPP Release 9. This new edition also provides an outlook to Release 10, including the overview of Release 10 LTE-Advanced technology components which enable reaching data rates beyond 1 Gbps. Key updates for the second edition of LTE for UMTS are focused on the new topics from Release 9 & 10, and include: LTE-Advanced; Self optimized networks (SON); Transport network dimensioning; Measurement results.
For developing nations, soil erosion is among the most chronic environmental and economic burdens. Vast amounts of topsoil are washed or blown away from arable land only to accumulate in rivers, reservoirs, harbors, and estuaries, thereby creating a double disaster: a vital resource disappears from where it is desperately needed and is deposited where it is equally unwanted. Despite much rhetoric and effort, little has been done to overcome this problem. Vetiver, a little-known tropical grass, offers one practical and inexpensive way to control erosion on a huge scale in both humid and semi-arid regions. Hedges of this deeply rooted species catch and hold back sediments while the stiff foliage acts as a filter that also slows runoff and keeps moisture on site. This book assesses vetiver's promise and limitations and identifies places where this grass can be deployed without undue environmental risk.
None
None