This paper presents a comprehensive review of the cognitive radio network (CRN) testbed built at TTU. Our goals are (1) to use our CRN testbed as a data acquisition tool; (2) to use random matrix theory to model the collect data and apply the new models in the context of quantum information. We attempt to achieve a balance between experimental work and theoretical work. We first spell out the v...

In this paper, the problem of joint beamforming and power control is studied in the uplink of multiple-input multiple-output (MIMO) cognitive radio networks (CRNs). The objective is maximizing the minimum signal-to-interference-plus-noise ratio (SINR) of the secondary users (SUs). The CRN consists of a cognitive radio-base station (CR-BS) and a number of SUs. The proposed scheme uses genetic al...

The effect of the initial microstructure (recrystallized or cold-rolled) on the nitride-precipitation process upon gaseous nitriding of ternary, ferritic, Fe-Cr-Al alloy was investigated at 450°C. In the recrystallized specimens, precipitation of metastable ternary, cubic, NaCl-type mixed Cr1xAlxN took place, whereas in the cold-rolled specimens precipitation of firstly binary cubic NaCltype Cr...

Abstract In the case of new technology application, cognitive radio network (CRN) addresses bandwidth shortfall and fixed spectrum problem. The method for CRN routing, however, often encounters issues with regard to road discovery, diversity resources mobility. this paper, we present a reconfigurable CRN-based cross-layer routing protocol purpose increasing performance optimizing data transfer ...

Massive multiple-input multiple-output (MaMIMO) and cognitive radio networks (CRNs) are two promising technologies for improving spectral efficiency of next-generation wireless communication networks. In this paper, we investigate the problem physical layer security in that jointly use both technologies, named MaMIMO-CRN. Specifically, to vulnerability network, design an optimized attacking sce...

Significant reduction of the overpotential NRR by adjusting bond length Cr–N in CrN 3 @graphene.

The accuracy of actions is swiftly determined through specific monitoring brain systems. Event-related potential (ERP) studies have shown that error commission is associated with the generation of the error-related negativity (ERN/Ne), whereas correct actions are associated with the correct-related negativity (CRN). Although the exact functional meaning of the ERN/Ne (and CRN) component remains...

In chemical reaction networks (CRNs) with stochastic semantics based on continuous-time Markov chains (CTMCs), the typically large populations of species cause combinatorially large state spaces. This makes the analysis very difficult in practice and represents the major bottleneck for the applicability of minimization techniques based, for instance, on lumpability. In this paper we present syn...

The Turing completeness result for continuous chemical reaction networks (CRN) shows that any computable function over the real numbers can be computed by a CRN finite set of formal molecular species using at most bimolecular reactions with mass action law kinetics. proof uses previous functions defined polynomial ordinary differential equations (PODE), dual-rail encoding variables difference c...