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Development of a case-based reasoning cognitive engine for IEEE 802.22 WRAN applications.

, , , , , , and . Mobile Computing and Communications Review, 13 (2): 37-48 (2009)

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Multi-Antenna Pre-processing for Improved RFML in Congested Spectral Environments., , , , , , , , , and 4 other author(s). DySPAN, page 288-295. IEEE, (2021)Green Communications: A Call for Power Efficient Wireless Systems., , , , , , , , , and 1 other author(s). JCM, 6 (4): 340-351 (2011)Measurement and characterization of the near-ground indoor ultra wideband channel., , , and . WCNC, page 1062-1067. IEEE, (2006)Some remarks on Nakagami-m parameter estimation using method of moments., and . IEEE Communications Letters, 9 (4): 313-315 (2005)Development of Radio Environment Map Enabled Case- and Knowledge-Based Learning Algorithms for IEEE 802.22 WRAN Cognitive Engines., , , , , and . CrownCom, page 44-49. IEEE, (2007)Development of a case-based reasoning cognitive engine for IEEE 802.22 WRAN applications., , , , , , and . Mobile Computing and Communications Review, 13 (2): 37-48 (2009)Further results on Nakagami-m parameter estimation., and . IEEE Communications Letters, 9 (1): 22-24 (2005)A Survey of Artificial Intelligence for Cognitive Radios., , , , , , , , , and 1 other author(s). IEEE Trans. Vehicular Technology, 59 (4): 1578-1592 (2010)Virginia tech cognitive radio network testbed and open source cognitive radio framework., , , , , and . TRIDENTCOM, page 1-3. IEEE Computer Society, (2009)Out-phased array linearized signaling (OPALS): A practical approach to physical layer encryption., , and . MILCOM, page 294-299. IEEE, (2015)