Introduction
jSMPP is a java implementation (SMPP API) of the SMPP protocol (currently supports SMPP v3.4). It provides interfaces to communicate with a Message Center or an ESME (External Short Message Entity) and is able to handle traffic of 3000-5000 messages per second.
jSMPP is not a high-level library. People looking for a quick way to get Started with SMPP may be better of using an abstraction layer such as the Apache Camel SMPP component: http://camel.apache.org/smpp.html
Travis-CI status:
History
The project Started on Google Code: http://code.google.com/p/jsmpp/
It was maintained by uudashr on Github until 2013.
It is now a community project maintained at http://jsmpp.org
Release procedure
mvn deploy -DperformRelease=true -Durl=https://oss.sonatype.org/service/local/staging/deploy/maven2/ -DrepositoryId=sonatype-nexus-staging -Dgpg.passphrase=<yourpassphrase>
log in here: https://oss.sonatype.org
click the 'Staging Repositories' link
select the repository and click close
select the repository and click release
License
Copyright (C) 2007-2013, Nuruddin Ashr uudashr@gmail.com Copyright (C) 2012-2013, Denis Kostousov denis.kostousov@gmail.com Copyright (C) 2014, Daniel Pocock http://danielpocock.com Copyright (C) 2016, Pim Moerenhout pim.moerenhout@gmail.com
This project is licensed under the Apache Software License 2.0.
The idea of writing this book entitled “Cognitive Networked Sensing and Big Data”
Started with the plan to write a briefing book on wireless distributed computing
and cognitive sensing. During our research on large-scale cognitive radio network
(and its experimental testbed), we realized that big data played a central role. As a
result, the book project reflects this paradigm shift. In the context, sensing roughly
is equivalent to “measurement.”
Wireless Fidelity (Wi-Fi) networks have become mainstream over the last few years. What
Started out as cable replacement for static desktops in indoor networks has been extended
to fully mobile broadband applications involving moving vehicles, high-speed trains, and
even airplanes.
The telecommunications industry is undoubtedly in a period of radical change with
the advent of mobile broadband radio access and the rapid convergence of Internet
and mobile services. Some of these changes have been enabled by a fundamental
shift in the underlying technologies; mobile networks are now increasingly based
on a pure Internet Protocol (IP) network architecture. Since the first edition of this
book was published in 2009, a multitude of connected devices from eBook readers
to smartphones and even Machine-to-Machine (M2M) technologies have all Started
to benefit from mobile broadband. The sea change over the last few years is only the
beginning of a wave of new services that will fundamentally change our economy, our
society, and even our environment. The evolution towards mobile broadband is one of
the core underlying parts of this revolution and is the focus of this book.
The next-generation wireless broadband technology is changing the way
we work, live, learn, and communicate through effective use of state-
of-the-art mobile broadband technology. The packet-data-based revolu-
tion Started around 2000 with the introduction of 1x Evolved Data Only
(1xEV-DO) and 1x Evolved Data Voice (1xEV-DV) in 3GPP2 and High
Speed Downlink Packet Access (HSDPA) in 3GPP. The wireless broad-
band fourth-generation technology (4G) is an evolution of the packet-
based 3G system and provides a comprehensive evolution of the
Universal Mobile Telecommunications System specifications so as to
remain competitive with other broadband systems such as 802.16e
(WiMAX)
In the nineteenth century, scientists, mathematician, engineers and innovators Started
investigating electromagnetism. The theory that underpins wireless communications was
formed by Maxwell. Early demonstrations took place by Hertz, Tesla and others. Marconi
demonstrated the first wireless transmission. Since then, the range of applications has
expanded at an immense rate, together with the underpinning technology. The rate of
development has been incredible and today the level of technical and commercial maturity
is very high. This success would not have been possible without understanding radio-
wave propagation. This knowledge enables us to design successful systems and networks,
together with waveforms, antennal and transceiver architectures. The radio channel is the
cornerstone to the operation of any wireless system.
When we Started thinking about writing the first edition of this book a few years ago, we had been
working together for more than five years on the borderline between propagation and signal processing.
Therefore, it is not surprising that this book deals with propagation models and design tools for MIMO
wireless communications. Yet, this book should constitute more than a simple combination of these
two domains. It hopefully conveys our integrated understanding of MIMO, which results from endless
controversial discussions on various multi-antenna related issues, as well as various interactions with
numerous colleagues. Obviously, this area of technology is so large that it is beyond our aim to cover all
aspects in details. Rather, our goal is to provide researchers, R&D engineers and graduate students with
a comprehensive coverage of radio propagation models and space–time signal processing techniques
for multi-antenna, multi-user and multi-cell networks.
When we Started thinking about writing this book, we had been working together for more
than five years on the borderline between propagation and signal processing.Therefore, it
is not surprising that this book deals with propagation models and design tools for MIMO
wirelesscommunications.Yet, thisbookshouldconstitutemorethanasimplecombination
of these two domains. It hopefully conveys our integrated understanding of MIMO, which
results from endless controversial discussions on various multi-antenna related issues, as
well as various interactions with numerous colleagues. Obviously, this area of technology
is so large that it was beyond our aim to cover all aspects in details. Rather, our goal has
been to provide researchers, R&D engineers and graduate students with a comprehensive
coverage of radio propagation models and space–time coding techniques.
