—This paper examines whether interference alignment (IA) can be leveraged to improve network utility in a multiuser multi-antenna wireless cellular network. Optimality of IA from...
—This paper considers wireless power transfer with feedback-based distributed transmit beamforming in a narrowband setting where all nodes have independent local oscillators with...
—In this paper, we present a new multichannel spectral factorization algorithm which can be utilized to calculate the approximate spectral factor of any para-Hermitian polynomial...
Abstract—Measuring visual quality, as perceived by human observers, is becoming increasingly important in many applications where humans are the ultimate consumers of visual info...
—In today’s world, individuals interact with each other in more complicated patterns than ever. Some individuals engage through online social networks (e.g., Facebook, Twitter)...
—Compressive Phase Retrieval refers to the problem of recovering an unknown sparse signal, upto a global phase constant, given only a small number of phaseless (or magnitude) mea...
—Historically unfeasible because of self-interference, full duplexing has now been experimentally demonstrated and is on the verge of commercial feasibility thanks to advances in...
Abstract—Compressed Sensing Multi-User Detection is a recently developed physical layer method to decrease signaling in massive Machine communications by using means from the fi...
—We devise query-set independent mechanisms for the problem of differentially private query release. Specifically, a differentially private mechanism is constructed to publish a...
—Compressed Sensing (CS) is an emerging field in mathematics that is used to measure few measurements of sparse vectors for lossless reconstruction. In this paper we use results...