Wireless communications technology

In this thesis, focus on the wireless links between devices equipped by deployed operating personnel and intermediary access point infrastructure. We use multi-radio (MR) platforms, wireless devices with multiple and diverse transceiver technologies, to produce robust and reliable links through adaptive control of available transceivers. Primarily, we study the application of intelligent control techniques, namely reinforcement learning (RL), for adaptive control over diverse transceivers to achieve the desired robustness and reliability under dynamic environmental conditions.

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Multimedia communications includes many efficient and highly efficient methods for exchanging information, an issue that is becoming increasingly necessary in the context of the rapid advancement of advanced network technologies such as broadband, wireless networks.

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Hindawi Publishing Corporation EURASIP Journal on Advances in Signal Processing Volume 2008, Article ID 317252, 14 pages doi:10.1155/2008/317252 Research Article Nonparametric Bayesian Filtering for Location Estimation, Position Tracking, and Global Localization of Mobile Terminals in Outdoor Wireless Environments Mohamed Khalaf-Allah Institute of Communications Engineering, Faculty of Electrical Engineering and Information Technology, Leibniz University of Hannover, Appelstrasse 9A, 30167 Hannover, Germany Correspondence should be addressed to Mohamed Khalaf-Allah, mohamed.

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Smart Antennas Smart antennas are an important application of SDR technology [381]. An in-depth treatment is beyond the scope of this chapter. The objective is to introduce the topic to identify the implications of smart antennas for softwareradio architecture. The smart antenna is a logical extension of antenna diversity described above [382].

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Protocols for wireless applications Wireless data networks present a more constrained communication environment compared to wired networks. Because of fundamental limitations of power, available spectrum, and mobility, wireless data networks tend to have less bandwidth than traditional networks, more latency than traditional networks, less connection stability than other network technologies, and less predictable availability.

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