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The growing demand for wireless devices capable of performing complex communication processes has imposed an urgent need for high-speed communication systems and advanced network processors. This paper proposes a hardware workflow developed for the Long Term Evolution (LTE) communication system. It studies the Multiple-input, multiple-output orthogonal frequency-division multiplexing (MIMO-OFDM) LTE system. Specifically, this work focuses on the implementation of the OFDM block that dominates the execution time in high-speed communication systems. To achieve this goal, we have proposed an NoC-based low-latency OFDM LTE multicore system that leverages Inverse Fast Fourier Transform (IFFT) parallel computation on a variable number of processing cores. The proposed multicore system is implemented on an FPGA platform using the ProNoC tool, an automated rapid prototyping platform. Our obtained results show that LTE OFDM execution time is drastically reduced by increasing the number of processing cores. Nevertheless, the NoC's parameters, such as routing algorithm and topology, have a negligible influence on the overall execution time. The implementation results show up to 24% and 76% execution time reduction for a system having 2 and 16 processing cores compared to conventional LTE OFDM implemented in a single-core, respectively. We have found that a 4×4 Mesh NoC with XY deterministic routing connected to 16 processing tiles computing IFFT task is the most efficient configuration for computing LTE OFDM. This configuration is 4.12 times faster than a conventional system running on a single-core processor.

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The thin-layer olive pomace vacuum drying behavior was experimentally investigated for 3 gauge pressures; −130, −200, −250 mbar, and for various sample thicknesses 5, 10 and 15 mm. Nine thin layer mathematical models were used to fit olive cake vacuum drying. Olive pomace vacuum drying took place in the falling rate period at all pressures and for all thicknesses, no constant rate period was observed. Among the selected models, the Diffusion Approach was found to be the most appropriate model better describing the olive pomace drying behavior.  The drying rate is correlated to the depression under the thin layer and its thickness. ANOVA-Pareto variance analysis showed the predominance of gauge pressure over layer thickness on drying time and drying rate. The diffusivity coefficient increased linearly over the depression range, from 3.37657E-09 to 4.03063E-06 m2/s, as obtained using Fick’s second law. HIGHLIGHTS Olive oil world production reached 3.300.000 tons in the 2020 campaign, leaving behind high quantities of oil residues mainly olive pomace harmful to the environment Olive pomace valorization is challenging due to its richness in moisture, drying is, therefore, an essential part of its recovery This research studies pomace vacuum drying for different gauge pressures and layer thicknesses Olive pomace drying rates are falling for all pressures and thicknesses The Diffusion Approach mathematical model better describes the process of olive pomace vacuum drying This research finding helps improve drying conditions and parameters of vacuum dryers GRAPHICAL ABSTRACT