Artificial Intelligence in Wireless CommunicationsThis cutting-edge resource offers practical overview of cognitive radio, a paradigm for wireless communications in which a network or a wireless node changes its transmission or reception parameters. The alteration of parameters is based on the active monitoring of several factors in the external and internal radio environment. This book offers a detailed description of cognitive radio and its individual parts. Practitioners learn how the basic processing elements and their capabilities are implemented as modular components. Moreover, the book explains how each component can be developed and tested independently, before integration with the rest of the engine. Practitioners discover how cognitive radio uses artificial intelligence to achieve radio optimization. The book also provides an in-depth working example of the developed cognitive engine and an experimental scenario to help engineers understand its performance and behavior. |
Contents
| 1 | |
2 The Cognitive Engine Artificial Intelligence for Wireless Communications | 11 |
3 Overview and Basics of Software Defined Radios | 33 |
4 Optimization of Radio Resources | 53 |
5 Genetic Algorithms for Radio Optimization | 77 |
6 Decision Making with CaseBased Learning | 97 |
7 Cognitive Radio Networking and Rendezvous | 119 |
8 Example Cognitive Engine | 125 |
B Additional BER Formulas | 169 |
C OProfile and Results of ProfilingGNU Radio | 173 |
D XML and DTD Representation of the Cognitive Components | 181 |
E Optimal Solutions of Knapsack Problems | 191 |
F Simulation of an SINR Sensor | 195 |
Acronyms | 203 |
About the Authors | 207 |
| 211 | |
Other editions - View all
Artificial Intelligence in Wireless Communications Thomas Warren Rondeau,Charles W. Bostian No preview available - 2009 |
Common terms and phrases
8PSK adaptation analysis application ATTLIST bandwidth base behavior bit error rate blocks Bostian calculated capabilities case-based decision theory channel Chapter chromosome cognitive controller cognitive engine cognitive radio components computational concept crossover curves data rate decision theory developed discussed DySPAN E/No dB ELEMENT max ELEMENT ELEMENT step ELEMENT Envelope environment Estimated Figure filter flow graph frequency genes genetic algorithm GMSK GNU Radio IEEE Proc implementation interface interference power knapsack problem knobs max ELEMENT step meters method modulation multiobjective optimization mutation nodes noise power objective functions optimization process packet parameters path loss PCDATA performance plots population power dBm processors radio platform radio system received signal represent representation selection shows signal power signal processing simulation SINR Software Defined Radio software radio solutions symbol rate techniques throughput transmit power type="float USRP utility function values waveform waveform optimization Wireless WSGA