Issue 5

The authors propose the use of Convolutional Neural Networks (CNN) based equalizer for orthogonal frequency division multiplexing with subcarrier power modulation (OFDM-SPM) in order to significantly improve its reliability performance.

In this work, the authors propose a novel transmission method that uses intelligent signals design to eliminate interference and mitigate channel effects at the receiver while ensuring less complexity reception.

In this work, authors analyze and quantify the security performance of Hybrid MIMO, which was originally proposed by the preceding work titled “Hybrid MIMO: A New Transmission Method For Simultaneously Achieving Spatial Multiplexing and Diversity Gains in MIMO Systems”.

In this work, the authors propose a novel signal superposition-based dual transmission ARQ communication technique that is capable of simultaneously improving data rates from one side and reducing data errors from another side for low complexity IoT devices in future 6G systems.

The authors develop and present a novel antenna design, called an icosahedron-Sierpiński fractal monopole antenna, where the key merit of such a geometry is its ability to capture a wide range of frequencies due to its multi-band characteristic and three-dimensional structure.