The theory of compressive sensing (CS) has been employed to detect available spectrum resource in cognitive radio (CR) networks recently. Capitalizing on the spectrum resource underutilization and spatial sparsity of primary user (PU) locations, CS enables the identification of the unused spectrum bands and PU locations at a low sampling rate. Although CS has been studied in the cooperative spe...

Corresponding Author: Inderdeep Kaur Aulakh University Institute of Engineering and Technology, Panjab University, Chandigarh, India Email: [email protected] Abstract: The constraint of limited frequency spectrum for wireless communication is very daunting. The radio spectrum licensed to permanent users is wasted at times when not used continuously. Cognitive radio technology involves a ch...

Spectrum sensing is important both in searching spectrum hole for secondary user access and protecting the primary users from interference. This paper proposes Energy based Sequence Detection for fast spectrum sensing. Different from the traditional fixed-slot energy detection, our scheme senses the spectrum sequentially using the Neyman-Pearson test until it collects enough statistics for a de...

The usable satellite spectrum is becoming scarce due to static spectrum allocation policies. Cognitive radio approaches have already demonstrated their potential towards spectral efficiency for providing more spectrum access opportunities to secondary user (SU) with sufficient protection to licensed primary user (PU). Hence, recent scientific literature has been focused on the tradeoff between ...

The main challenge for a cognitive radio is to detect the existence of primary users reliably in order to minimise the interference to licensed communications. Hence, spectrum sensing is a most important requirement of a cognitive radio. However, due to the channel uncertainties, local observations are not reliable and collaboration among users is required. Selection of fusion rule at a common ...

Nowadays, cognitive radio is one of the most promising paradigms in the arena of wireless communications, as it aims at the proficient use of radio resources. Proper utilization of the radio spectrum requires dynamic spectrum accessing. To this end, spectrum sensing is undoubtedly necessary. In this chapter, various approaches for dynamic spectrum access scheme are presented, together with a su...

In cognitive radio networks, spectrum sensing is a crucial component in the discovery of spectrum opportunities for secondary systems (or unlicensed systems). The performance of spectrum sensing is characterized by both accuracy and efficiency. Currently, significant research effort has been made on improving the sensing accuracy. Several exemplary techniques include energy detectors, feature d...

In this work, we propose an efficient spectrum sensing technique based on Doubly Cognitive Architecture (DCA) and an efficient spectrum monitoring technique based on partial spectrum sensing. In addition to this, we have developed a one of its kind testbed for Cognitive Radio-based wireless sensor network (CRWSN), where the proposed techniques are successfully implemented and tested. The testbe...

The effect of spectrum sensing errors on the performance of orthogonal frequency division multiplexing based cognitive radio transmission can be evaluated by deriving the expression for the average bit error rate. This depends on various parameters like transmission and spectrum sensing parameters. Here, we consider the case with adding a carrier frequency offset. The spectrum sensing errors of...

In this chapter, the concepts of Cognitive Radio (CR) and multi-dimensional spectrum sensing are introduced. Spectrum sensing methodologies, energy efficiency consideration, resources scheduling, and self-management and learning mechanisms in cognitive radio networks are also discussed. The entailed challenges of CR RF front-end architectures are looked into. The synthesis and design performanc...