Antennas and RF Front Ends for Cognitive Radio

http://www.hindawi.com/journals/ijap/2014/231027/International audienc

Cognitive Radio Transceivers: RF, Spectrum Sensing, and Learning Algorithms Review

A cognitive transceiver is required to opportunistically use vacant spectrum resources licensed to primary users. Thus, it relies on a complete adaptive behavior composed of: reconfigurable radio frequency (RF) parts, enhanced spectrum sensing algorithms, and sophisticated machine learning techniques. In this paper, we present a review of the recent advances in CR transceivers hardware design and algorithms. For the RF part, three types of antennas are presented: UWB antennas, frequency-reconfigurable/tunable antennas, and UWB antennas with reconfigurable band notches. The main challenges faced by the design of the other RF blocks are also discussed. Sophisticated spectrum sensing algorithms that overcome main sensing challenges such as model uncertainty, hardware impairments, and wideband sensing are highlighted. The cognitive engine features are discussed. Moreover, we study unsupervised classification algorithms and a reinforcement learning (RL) algorithm that has been proposed to perform decision-making in CR networks

Synthesis of a Novel UDP-carbasugar as UDP-galactopyranose Mutase Inhibitor

The multistep synthesis of a novel UDP-<i>C</i>-cyclohexene, designed as a high energy intermediate analogue of the UDP-galactopyranose mutase (UGM) catalyzed isomerization reaction, is reported. The synthesis of the central carbasugar involved the preparation of a galactitol derivative bearing two olefins necessary for the construction of the cyclohexene ring by a ring-closing metathesis as a key step. Further successive phosphonylation, deprotection, and UMP coupling provided the target molecule. The final molecule was assayed against UGM and compared with UDP-<i>C</i>-Gal<i>f</i>, the C-glycosidic UGM substrate analogue