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This paper analyzes the unified performance of energy detection (ED) of spectrum sensing (SS) over generalized fading channels in cognitive radios (CRs). The detective performance of SS will be obviously affected by fading...
One of the most important factors that affects the performance of energy detection (ED) is the fading channel between the wireless nodes. This paper investigates the performance of ED-based spectrum sensing, for cognitive radio...
Increasing number of antennas are closely packed in emerging multi antenna systems and correlation among them can no-longer be ignored. In this work, such a multi antenna spectrum sensing system is investigated considering dual, triple, four and up to infinite number of...
Spectrum sensing is a key function of cognitive radios and is used to determine whether a primary user is present in the channel or not. Many approaches have been proposed when both primary user and secondary user employ a single antenna. Recently several...
In this paper, we study the performance of quickest spectrum sensing when the received signal experiences various fading conditions, including the time-invariant, Rayleigh, Rician, Nakagami-m and the F channel. We prove that the power of the complex...
In this paper, we consider the problem of energy detection for spectrum sensing over the α-κ-μ fading channel, in a Bayesian framework. The α-κ-μ fading distribution includes popular models such as Rayleigh, Rice, Nakagami-m, Weibull,...
Cognitive radio (CR) plays a key role in upcoming 5-G wireless technology. The main task of CR technology is to detect the presence of licensed user or primary user (PU) for effective utilization of the spectrum. In this paper, fist we study the...
The α-η-μ distribution is a generalized distribution which models the fading statistics to a sufficient degree of accuracy in practice. This distribution includes the well-studied models such as Rice, Rayleigh, Nakagami-m, Weibull, η-μ and α-μ distributions as special cases. We study...
Compressive sensing (CS) techniques have been proposed for wideband spectrum sensing applications to achieve sub-Nyquist-rate sampling. The complexity of CS recovery algorithm and the detection performance against noise are two of the main challenges...
Secondary operation in TV White Space (TVWS) calls for fast and accurate spectrum sensing over a wide bandwidth, which challenges the traditional spectrum sensing methods operating at or above Nyquist rate. Sub-Nyquist sampling has attracted significant...
