3 accepted papers
Deep Learning has attracted significant interests in wireless communication design problems. However, recent studies discovered that the deep neural network is vulnerable to adversarial attacks in the sense that a carefully designed and imperceptible perturbation to the input of the neural network c…
This paper studies the problem of max-min fairness power allocation in distributed small cell networks operated under the same frequency bandwidth. We introduce a calibrated learning enhanced time division multiple access scheme to optimize the transmit power decisions at the small base stations (SB…
The problem of optimum distribution of the available spatial degrees of freedom among two sparse antenna subarray beamfomers in shared aperture receiver is investigated. The two subarrays, forming a full array, co-exist on the same platform and could perform separate RF sensing and communications ta…