Artificial Intelligence in Wireless Communications (Mobile by Thomas W Rondeau, Charles W Bostian

By Thomas W Rondeau, Charles W Bostian

This state of the art source deals sensible assessment of cognitive radio - a paradigm for instant communications within which a community or a instant node adjustments its transmission or reception parameters. The alteration of parameters relies at the energetic tracking of a number of components within the exterior and inner radio atmosphere. This booklet deals an in depth description of cognitive radio and its person elements. Practitioners find out how the elemental processing components and their features are carried out as modular parts. in addition, the booklet explains how every one part might be built and demonstrated independently, earlier than integration with the remainder of the engine. Practitioners detect how cognitive radio makes use of synthetic intelligence to accomplish radio optimization. The booklet additionally offers an in-depth case in point of the constructed cognitive engine and an experimental situation to assist engineers comprehend its functionality and behaviour.

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Extra resources for Artificial Intelligence in Wireless Communications (Mobile Communications)

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First, the policy engine must be secure such that unauthorized waveforms cannot be transmitted. 8 Translation process from generic XML format to radio-specific commands. to run on the system as well as grow and change to match changing regulatory environments or waveform capabilities. Both of the above objectives require some form of authentication. 2 to help satisfy these requirements by allowing verified third-party systems to function here. We will not pursue the problem of policy and verification further.

On the other hand, general purpose processors provide the flexibility and reuse concepts discussed previously, but they do not achieve the same efficient performance as a hardware system dedicated to a particular waveform. Many of the problems identified here are engineering challenges that cross a variety of disciplines. Processor technology is stepping up to the computing challenges with multicore techniques, advanced instruction sets like SIMD, and graphics processing units (GPUs) being used in multimedia processing and gaming physics engines [7, 8].

Rondeau, C. J. Rieser, T. M. Gallagher, and C. W. Bostian, “Online Modeling of Wireless Channels with Hidden Markov Models and Channel Impulse Responses for Cognitive Radios,” IEEE Proc. IMS, 2004, pp. 739 – 742. [28] M. D. , Virginia Tech, 2006. [29] L. A. Zadeh, “Fuzzy Sets,” Information and Control, Vol. 8, pp. 338 – 353, 1965. [30] M. Black, “Vagueness: An Exercise in Logical Analysis,” Philosophy of Science, Vol. 4, No. 4, pp. 427 – 455, Oct. 1937. [31] N. Baldo and M. Zorzi, “Fuzzy Logic for Cross-Layer Optimization in Cognitive Radio Networks,” IEEE CCNC, Jan.

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