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Power Efficiency in Wireless Network Distributed Computing., , , , and . VTC Fall, IEEE, (2009)Designing and deploying a building-wide cognitive radio network testbed., , , , and . IEEE Communications Magazine, 48 (9): 106-112 (2010)Reconfiguration, adaptation, and optimization, , and . Cognitive Radio Communications and Networks: Principles and Practice, chapter 7, Academic Press, (2009)Population Adaptation for Genetic Algorithm-based Cognitive Radios., , , , and . CrownCom, page 279-284. IEEE, (2007)Virginia tech cognitive radio network testbed and open source cognitive radio framework., , , , , and . TRIDENTCOM, page 1-3. IEEE Computer Society, (2009)Development of a case-based reasoning cognitive engine for IEEE 802.22 WRAN applications., , , , , , and . ACM SIGMOBILE Mob. Comput. Commun. Rev., 13 (2): 37-48 (2009)A Survey of Artificial Intelligence for Cognitive Radios., , , , , , , , , and 1 other author(s). IEEE Trans. Veh. Technol., 59 (4): 1578-1592 (2010)Multiple Objective Fitness Functions for Cognitive Radio Adaptation.. University of Kansas, USA, (2008)base-search.net (ftunivkansas:oai:kuscholarworks.ku.edu:1808/4046).Green Communications: A Call for Power Efficient Wireless Systems., , , , , , , , , and 1 other author(s). J. Commun., 6 (4): 340-351 (2011)Cognitive engine implementation for wireless multicarrier transceivers., , , , , and . Wirel. Commun. Mob. Comput., 7 (9): 1129-1142 (2007)