The demand for reliable wireless communication systems has dramatically increased in recent years. Developing new methods, that exploit limited resources of power and bandwidth, is necessary to satisfy such a huge communication demand. Thus, the multiple-input multiple-output (MIMO) system is considered an efficient solution for wireless communication systems. MIMO system provides high data rates by exploiting the spatial domain under the constraints of limited transmit power and bandwidth. One of the MIMO systems transmitting strategy is the Space-Time Block Codes (STBCs) that exploits transmit diversity and high reliability. Also, the least action principle (LAP) of information theory seeks optimal effectiveness trough achieving system’s goals with the least amount of resources. Thus, modeling systems by using such a principle could enable optimal exploitation of resources and maintain system efficiency at the same level if not higher.
Therefore, the objective of this research is to model MIMO systems and wireless network using the concept of a noisy communication channel. Accordingly, we will use U matrix in modeling digital signal and space-time coding in MIMO systems, and modeling various wireless network using Maximum Independent Set (MIS) as a tool of LAP of information theory. In this research, we claim that the concept of a noisy communication channel can assist in modeling and designing wireless communication systems.
|Advisor:||Tanik, Murat M., Haider, Mohammad R.|
|Commitee:||Jololian, Leon, Lingasubramanian, Karthik, Wells, Buren E.|
|School:||The University of Alabama at Birmingham|
|School Location:||United States -- Alabama|
|Source:||DAI-B 80/07(E), Dissertation Abstracts International|
|Subjects:||Communication, Computer Engineering|
|Keywords:||Information theory, Least action principle, Maximum independent set, System modeling, Wireless systems|
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