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Diffstat (limited to 'doc/thesis/chapters/conclusions.tex')
| -rw-r--r-- | doc/thesis/chapters/conclusions.tex | 6 |
1 files changed, 4 insertions, 2 deletions
diff --git a/doc/thesis/chapters/conclusions.tex b/doc/thesis/chapters/conclusions.tex index f9a66a2..e7bebdf 100644 --- a/doc/thesis/chapters/conclusions.tex +++ b/doc/thesis/chapters/conclusions.tex @@ -10,8 +10,6 @@ For both modulation schemes samples from multiple different conditions were coll \section{Future Work} -% raspberry pi - \subsection{Improve BER measurements and simulations} A missing feature in this work is an automated collection of the BER data, which would allow to more easily to observe and measure the influence of each parameters in the fading channel model. @@ -20,6 +18,10 @@ A missing feature in this work is an automated collection of the BER data, which In addition to fixing the issue discussed in section \ref{sec:gui-issue-single-threaded}, a very important feature that is currently missing is the ability to change the fading parameters in real time from within the GUI. Dear PyGUI offers many graphical elements that could be used to control the parameters, however a new GR block would need to be created to propagate the updated values into the flow graph. +\subsection{Portable transmitter on a Raspberry PI} + + + \subsection{Channel parameters estimation with PSAM} An interesting continuation of this work could be to regularly interpolate some so called pilot symbols in the modulated data stream. In short, the pilot symbol assisted modulation (PSAM) technique consists of periodically inserting informationless (known) symbols in the data stream, which can then be used to estimate the fading parameters of the communication channel. More details are presented in \cite{Xiaoyi1999} (and its references) from which the illustrations in \figref{fig:psam} were taken. |