Existing approaches to Compressive Sensing (CS) of sparse spectrum has thus far assumed models contaminated with noise (either bounded noise or Gaussian with known power). In practical Cognitive Radio (CR) networks, primary ...

This paper addresses the estimation of different context parameters of a primary user network based on signal strength measurements obtained by a sensor network and without any prior knowledge of the antenna types used by ...

The increasing emergence of wireless applications along with the static spectrum allocation followed by regulatory bodies has led to a high inefficiency in spectrum usage, and the lack of spectrum for new services. In this ...

In this paper, we evaluate a novel contention-aware channel selection algorithm that focuses on energy efficiency improvement of a secondary network (SN) in a scenario where other non-cooperating SNs are also using the ...

This paper focuses on the analysis of the trade-off existing between achieved performance and observation requirements in a decision making framework based on the cognitive cycle. For that purpose, it presents a general ...

This details what features a protocol designed around the incipient technology of cognitive radio should have with practical results to back it up.

The saturation of the radio spectrum is leading to new scenarios with we must deal which because the radio spectrum is a scarce and limited resource. Currently, it coexists multiple services in the spectrum, each one is ...

Cyclostationary processes exhibit a form of frequency diversity. Based on that, we show that a digital waveform with symbol period T can be asymptotically represented as a rank-1 frequency-domain vector process which ...