Sensing Time Optimization in Energy-Harvesting Cognitive Radio with Interference Rate Control

In this paper,an energy-harvesting cognitive radio(CR) is considered,which allows the transmitter of the secondary user(SU) to harvest the primary signal energy from the transmitter of the primary user(PU) when the presence of the PU is detected.Then the harvested energy is converted into the electrical power to supply the transmission of the SU at the detected absence of the PU.By adopting the periodic spectrum sensing,the average total transmission rate of the SU is maximized through optimizing the sensing time,subject to the constraints of the probabilities of false alarm and detection,the harvested energy and the interference rate control.The simulation results show that there deed exists an optimal sensing time that maximizes the transmission rate,and the maximum transmission rate of the energy-harvesting CR can better approach to that of the traditional CR with the increasing of the detection probability.

Integrated lipidomics and proteomics network analysis highlights lipid and immunity pathways associated with Alzheimer's disease

Background:There is an urgent need to understand the pathways and processes underlying Alzheimer's disease(AD)for early diagnosis and development of effective treatments.This study was aimed to investigate Alzheimer's dementia using an unsupervised lipid,protein and gene multi-omics integrative approach.Methods:A lipidomics dataset comprising 185 AD patients,40 mild cognitive impairment(MCI)individuals and 185 controls,and two proteomics datasets(295 AD,159 MCI and 197 controls)were used for weighted gene CO-expression network analyses(WGCNA).Correlations of modules created within each modality with clinical AD diagnosis,brain atrophy measures and disease progression,as well as their correlations with each other,were analyzed.Gene ontology enrichment analysis was employed to examine the biological processes and molecular and cellular functions of protein modules associated with AD phenotypes.Lipid species were annotated in the lipid modules associated with AD phenotypes.The associations between established AD risk loci and the lipid/protein modules that showed high correlation with AD phenotypes were also explored.Results:Five of the 20 identified lipid modules and five of the 17 identified protein modules were correlated with clinical AD diagnosis,brain atrophy measures and disease progression.The lipid modules comprising phospholipids,triglycerides,sphingolipids and cholesterol esters were correlated with AD risk loci involved in immune response and lipid metabolism.The five protein modules involved in positive regulation of cytokine production,neutrophil-mediated immunity,and humoral immune responses were correlated with AD risk loci involved in immune and complement systems and in lipid metabolism(the APOE ε4 genotype).Conclusions:Modules of tightly regulated lipids and proteins,drivers in lipid homeostasis and innate immunity,are strongly associated with AD phenotypes.