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We study cooperative spectrum sensing in cognitive radio networks (CRN) using machine learning techniques in this paper. A low-dimensional probability vector is proposed as the feature vector for machine learning based classification, instead of the N-dimensional energy vector in a CRN with a single primary user (PU) and N secondary users (SUs). This proposed method down-converts a high-dimensional...
This paper considers spectrum utilization in cognitive radio (CR) based on both simultaneously adaptive spectrum sensing and transmission at Tx and bit error rate (BER) variation checking at Rx. A novel detecting model is proposed to consider the full-duplex second-user (SU)'s simultaneous sensing and transmitting whether the primary user (PU) is active or not. The probability of detection is provided,...
Most oil pumping units (OPUs) have been using manual control in the oilfield. This existing oil-pumping system, a high power-consuming process, has the incapability of OPU's structural health monitoring. In this paper, a sensor network based intelligent control is proposed for power economy and efficient oilwell health monitoring. The proposed sensor network consists of three-level sensors: 1) several...
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