We propose novel cooperative spectrum sensing (CSS) algorithms for cognitive radio (CR)
networks based on machine learning techniques which are used for pattern classification. In …

This paper investigates the issue of spatial-temporal opportunity detection for spectrum-
heterogeneous cognitive radio networks, where at a given time secondary users (SUs) at …

Spectrum scarcity is impeding practical implementations of emerging wireless multimedia
applications requiring significantly more frequency spectrum. Cognitive radio (CR) has …

Cognitive sensor network (CSN) is a promising paradigm to address the spectrum scarcity
problem in traditional wireless sensor networks. Reliable spectrum sensing is essential to …

Rapidly rising energy costs and increasingly rigid environmental standards have led to an
emerging trend of addressing “energy efficiency” aspect of wireless communication …

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 …

In cognitive radio (CR), the soft decision fusion (SDF) rule plays a critical role in cooperative
spectrum sensing (CSS). However, the computational cost on obtaining efficient SDF rule …

The performance of cooperative spectrum sensing in cognitive radio (CR) networks depends
on the sensing mode, the sensing time and the number of cooperative users. In order to …

A simple and novel asymptotic bound for the maximum error resulting from the use of the
central limit theorem to approximate the distribution of chi square and noncentral chi square …

Dramatically increasing requests for frequency bands in recent years, which has resulted in
spectrum scarcity, lead us to examine the feasibility of dynamic spectrum access (DSA) …