We propose continuous power allocation strategies for secondary users (SUs) based on sensing the primary user (PU) channels in a multiband cognitive radio (CR) network. Unlike conventional sensing-based spectrum sharing, where there are two transmit levels corresponding to whether PU is sensed present or not, proposed strategy, functions of statistics, and optimized with respect achievable rate SU. The control process consists phases: first phase, SU listens multiple bands licensed obtains...

SUMMARY In this paper, we consider the detection of orthogonal frequency division multiplexing with timing and offset for cognitive radio over fast time‐varying multipath channels. By making different assumptions on availability at secondary user, derive two algorithms based likelihood ratio test generalized test, respectively theoretically obtain performances them. The proposed jointly utilize energy observations correlation cyclic prefix (CP) data. extensive simulations show that...

According to the historical load data of PaaS cloud platform, a resource scheduling prediction model is established, and periodic non-periodic laws are analyzed. A combined forecasting based on Fourier Markov chains proposed realize intelligent scheduling, which can running scalable platform.

The kernel distribution estimator (KDE) is proposed based on residuals of the innovation in autoregressive moving-average (ARMA) time series. deviation between KDE and function shown to converge Brownian bridge, leading construction a Kolmogorov–Smirnov smooth simultaneous confidence band for function. Additionally, an empirical cumulative (CDF) prediction introduced multi-step-ahead error This process weakly converges Gaussian with specific covariance Furthermore, quantile derived from CDF...

In this paper, we consider a cognitive radio (CR) system in non-ideal fading wireless channels and propose cooperative spectrum sensing scheme based on linear parallel access channel (PAC),serving as an alternative way to improve the performance. We assume that gains of observation transmission are all known which is available since use standard preamble-aided estimation techniques require state information. The key feature proposed observations transmitted by amplify forward transmissions...

As a case of space–time interaction, near-repeat calculation indicates that when an event takes place at certain location, its immediate geographical surroundings would face increased risk experiencing subsequent events within fairly short period time. This paper presents exploratory study extends the investigation phenomena to series namely chain calculation. Existing tools can only deal with limited amount data due computation constraints, let alone analysis. By deploying modern...

This paper extends the classical Glivenko–Cantelli theorem for empirical cumulative distribution function based on innovations in ARCH model with a slowly time-varying trend. In this semiparametric model, L1 strong consistency innovation density estimator via kernel smoothing method is established, given that trend and parameter estimators meet some mild conditions. Besides, Gaussian quasi maximum likelihood (QMLE) established as well. Moreover, terms of existence data, two major...

In view of the deployment management problems caused by service atomization, architecture complexity and large-scale cluster micro-service system, a PaaS cloud platform automation engine is designed implemented based on Docke so as to provide simple, flexible, efficient, full-stack, full-process solution micro system.