We consider the estimation of a random vector observed through a linear transform followed
by a componentwise probabilistic measurement channel. Although such linear mixing …

As it becomes increasingly apparent that 4G will not be able to meet the emerging demands
of future mobile communication systems, the question what could make up a 5G system …

The replica method is a non-rigorous but widely-used technique from statistical physics used
in the asymptotic analysis of many large random nonlinear problems. This paper applies the …

The paper considers the problem of detecting the sparsity pattern of a k-sparse vector in
\BBR^n from m random noisy measurements. A new necessary condition on the number of …

Inspired by the theory of compressed sensing and employing random channel access, we
propose a distributed energy-efficient sensor network scheme denoted by Random Access …

For the additive white Gaussian noise channel with average codeword power constraint,
coding methods are analyzed in which the codewords are sparse superpositions, that is …

Device-free localization (DFL), which does not require any devices to be attached to target
(s), has become an appealing technology for many applications, such as intrusion detection …

This work studies the problem of neighbor discovery for device-to-device (D2D)
communications of LTE user equipments (UEs) in a modern cellular network. By listening to …

Many applications in cellular systems and sensor networks involve a random subset of a
large number of users asynchronously reporting activity to a base station. This paper …

Orthogonal Matching Pursuit (OMP) is a canonical greedy pursuit algorithm for sparse
approximation. Previous studies of OMP have considered the recovery of a sparse signal x …