Sensors for Enabling Wireless Spectrum Access

Dear Colleagues,

The global demand for available wireless spectrum for reliable and high-rate data communications has grown at an astounding rate, far outpacing their enabling standards. As a consequence, the need to dynamically sense spectrum occupancy, avoid primary user interference, and opportunistically leverage unused frequency bands has been an ongoing area of research for some time; however, recent advancements in low-cost software-defined radio hardware, signal processing algorithms, and even machine-learning tools have bolstered the need for high-quality spectrum-sensing capabilities. These enabling technologies have brought capabilities in dynamic spectrum access networking to an even wider group of researchers than ever before.

The scope of this Special Issue to address spectrum monitoring needs includes, but is not limited to, the following: phased arrays for spectrum sensing; software-defined radios for spectrum sensing; digital signal processing spectrum sensing algorithms; and machine-learning architectures for spectrum sensing.

Dr. Joseph Gaeddert
Prof. Dr. Alan Michaels
Guest Editors

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