Abstract Principal Component Analysis and Fisher Linear Discriminant methods have
demonstrated their success in face detection, recog (cid: 173) nition, and tracking. The …

This paper provides an overview of cognitive radio (CR) networks, with focus on the recent
advances in resource allocation techniques and the CR networks architectural design. The …

Widely regarded as one of the most promising emerging technologies for driving the future
development of wireless communications, cognitive radio has the potential to mitigate the …

Cognitive radio networks (CRNs) are composed of cognitive, spectrum-agile devices
capable of changing their configurations on the fly based on the spectral environment. This …

Unmanned aerial vehicles have gained much popularity for applications which do not
require human operator or are too dangerous for human operators. They operate on IEEE L …

Opportunistic spectrum access (OSA) has been regarded as the most promising approach to
solve the paradox between spectrum scarcity and waste. Intelligent decision making is key …

Abstract Machine-to-machine (M2M) communications emerge to autonomously operate to
link interactions between Internet cyber world and physical systems. We present the …

Currently, the radio spectrum is statically allocated and divided between licensed and
unlicensed frequencies. Due to this inflexible policy, some frequency bands are growing in …

Channel bonding (CB) is a proven technique to increase bandwidth and reduce delays in
wireless networks. It has been applied in traditional wireless networks such as cellular …

Spectrum bands are the backbone of wireless networks. Every user is allocated a fraction of
the spectrum from available fixed spectrum band. But, the fixed available spectrum band …