As an alternate to the migration scenario, Microsoft offers some interoperation solutions (in an interoperation scenario, you don t try to turn the MFC code into .NET automatically, you just try to ensure that they can work together):
基于OFDM的無線寬帶系統仿真It contains mainly two parts, i.e. link-level simulator and system-level simulator.
Link-level simulator focus on a single-cell single-user scenario, where signal is transmitted from tx, and estimated at rx. Comparing the difference in tx/rx signal, the error rate can be found out. The output of the link-level simulator is the BLER/BER vs. SNR mapping table, that can be used for the system-level simulation.
System-level simulator focus on a multi-cell multi-user scenario. For the sake of simplicity, it takes the mapping table aquired in the link-level simulation, measure the actural SNR, and finds the corresponding error rate.
Imagine that you are a web developer (which is probably not a stretch if you are reading
this book) and you are being encouraged to add some Ajax features to a site you’re
working on. Maybe the originator of this request is your boss or your boss’s boss, who is
not even sure what Ajax is, let alone what kinds of features might be useful.And maybe
you’re not sure yourself. Imagine that your prior experience has mostly been on the
server-side, developing in Java or some other server-side technology, and your experience
with HTML and JavaScript has been fairly limited.This is the scenario we will explore
over the next several chapters as you are introduced to the Dojo Toolkit.
Abstract—In the future communication applications, users
may obtain their messages that have different importance levels
distributively from several available sources, such as distributed
storage or even devices belonging to other users. This
scenario is the best modeled by the multilevel diversity coding
systems (MDCS). To achieve perfect (information-theoretic)
secrecy against wiretap channels, this paper investigates the
fundamental limits on the secure rate region of the asymmetric
MDCS (AMDCS), which include the symmetric case as a special
case. Threshold perfect secrecy is added to the AMDCS model.
The eavesdropper may have access to any one but not more than
one subset of the channels but know nothing about the sources,
as long as the size of the subset is not above the security level.
The question of whether superposition (source separation) coding
is optimal for such an AMDCS with threshold perfect secrecy
is answered. A class of secure AMDCS (S-AMDCS) with an
arbitrary number of encoders is solved, and it is shown that linear
codes are optimal for this class of instances. However, in contrast
with the secure symmetric MDCS, superposition is shown to
be not optimal for S-AMDCS in general. In addition, necessary
conditions on the existence of a secrecy key are determined as a
design guideline.
In this book, we study the interference cancellation and detection problem in
multiantenna multi-user scenario using precoders. The goal is to utilize multiple
antennas to cancel the interference without sacrificing the diversity or the com-
plexity of the system.
Nowadays sensors are part of everyday life in a wide variety of fields: scientific
applications, medical instrumentation, industrial field, ...and, last but not least,
popular mass production and low-cost goods, like smartphones and other mobile
devices. Markets and business behind the field of sensors are quite impressive.
A common trend for consumer applications is miniaturization which requires, on
one side, a lot of research, development efforts, and resources but, on the other
hand, allows costs and final application size reduction. In this scenario scientific
community and industries are very active to drive innovation.
With more than two billion terminals in commercial operation world-wide, wire-
less and mobile technologies have enabled a first wave of pervasive communication
systems and applications. Still, this is only the beginning as wireless technologies
such as RFID are currently contemplated with a deployment potential of tens of
billions of tags and a virtually unlimited application potential. A recent ITU report
depicts a scenario of “Internet of things” — a world in which billions of objects will
report their location, identity, and history over wireless connections.
