Prediction and Analysis of Subsidence Using Information Technology: ANSYS

The next generation communication devices are foreseen to not only support a large variety of applications, ranging from speech, audio and video graphics but also be able to maintain connection with many other devices (rather than a single base station) in di?erent changing environments. The aim of the dissertation is to analyze digital modulation and coding techniques for wireless communication systems in realistic transmission scenarios. Furthermore, an important objective of the dissertation is to explore the degrees of freedom that can make the wire- less communication systems overall more adaptive, thereby, resulting in systems that either consume less power for a given performance or o?er more perfor- mance for a given amount of average energy than conventional systems. The techniques/algorithms analyzed in the dissertation are versatile and suitable for both narrowband as well as wideband wireless communication systems for indoor and low-mobility outdoor scenarios. Signal space diversity, also known as modulation diversity, is used to increase the overall received signal-to-noise ratio (SNR) and to reduce the probability of error. A thorough performance analysis of modulation diversity systems is pre- sented in the thesis to understand the di?erences from conventional systems in narrowband and wideband channels and also to achieve the maximum possible performance. General methods are presented to optimize the system parame- ters and to exploit the degrees of freedom available. Channel coding, coopera- tive demodulation and decoding, and orthogonal frequency division multiplexing (OFDM) schemes are coupled with modulation diversity to reduce the overall power consumption and improve system performance.