In this paper, we study channel-aware decision fusion (DF) in a wireless sensor network
(WSN), where the sensors transmit their decisions simultaneously for spectral efficiency …

In this paper, we provide a study of channel-aware decision fusion (DF) over a “virtual”
multiple-input multiple-output (MIMO) channel in the large-array regime at the DF center …

Wireless sensor network applications often involve the computation of pre-defined functions
of the measurements such as for example the arithmetic mean or maximum value. Standard …

It is known that if the objective of a wireless sensor network is not to reconstruct individual
sensor readings at a fusion center but rather to compute a linear function of them, then the …

We consider a decentralized multi-sensor estimation problem where L sensor nodes
observe noisy versions of a correlated random source vector. The sensors amplify and …

We consider the detection and estimation of a zero-mean Gaussian signal in a wireless
sensor network with a coherent multiple access channel, when the fusion center (FC) is …

In this paper, in order to tackle major challenges of spectrum exploration & allocation in
Cognitive Radio (CR) networks, we apply the general framework of Decision Fusion (DF) to …

In this paper, we consider a wireless sensor network (WSN) with sensors simultaneously
reporting their decision to a fusion center (FC) equipped with multiple antennas. A Gaussian …

This paper deals with spectrum sensing for cognitive radio scenarios where the decision
fusion center (DFC) exploits array processing. More specifically, we explore the impact of …

This letter studies a multiple-access transmission scheme that exploits interference for an
efficient function computation in sensor networks. The central question is how much channel …