This study presents the fabrication of a 3D micro-transformer using MEMS technology in 10-600 kHz frequency range. The fabrication processes is developed for high-performance and low-cost realization with respect to planner design. The coil winding and the magnetic cores were fabricated by electro-deposition using copper and Ni/Fe Permalloy materials, respectively. In step-up configuration, the micro-transformer achieved 73.75% efficiency. The inductance achieved was 90 and 164 µH for primary and secondary coils, respectively. Characterization results and fabrication process of the fabricated transformer (2560×1240 µm) on alumina ceramic substrate are presented.

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The modern applications of communications that use wideband signals suffer the lacking since the resources of this kind of signals are limited especially for fifth generation (5G). The Compressive Spectrum Sensing (COMPSS) techniques address such issues to reuse the detected signals in the networks and applications of 5G. However, the raw techniques of COMPSS have low compression ratio and high computational complexity rather than high level of noise variance. In this paper, a hybrid COMPSS scheme has been developed for both non-cooperative and cooperative cognitive radio networks. The proposed scheme compiles on discrete wavelet transform – single resolution (DWT-SR) cascaded with discrete cosine transform (DCT). The first is constructed according to the pyramid algorithm to achieve 50% while the second performed 30% compression ratios. The simulation and analytic results reveal the significant detection performance of the proposed technique is better than that of the raw COMPSS techniques.

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