Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-05-24 Cooperative journals: 《计算机应用研究》
Abstract： Due to the current high accuracy of positioning via cellular base stations and the uncertainty of signaling data, estimating the accuracy of traffic information parameters using cell phone signaling data remains a significant challenge. Highway speed parameters are one of the most commonly studied parameters for evaluating road service quality. At present, the basic steps of traffic parameter estimation based on cell phone signaling data are as follows: Data collection and preprocessing, map matching, user route matching determination and traffic information parameter estimation. On this basis, according to the knowledge of physical kinematics, aiming at the uncertainty of handset signaling data and the influence of parallel highway noise on user data, an improved vehicle speed calculation method based on weighted distance fusion is proposed and further proposed on this method A Method of Vehicle Speed Calculation to Eliminate Parallel Highway Interference Data and Improve Calculation Precision. Using a platform provided by a mobile company for instance verification, and using the average absolute error MAE, root mean square error RMSE, average absolute percentage error MAPE as a performance indicator, in this paper, the performance of the method model is better than the traditional method model, and the average absolute percentage error is about 10% lower than the traditional method, which has important application value.
Subjects: Computer Science >> Integration Theory of Computer Science submitted time 2018-04-12 Cooperative journals: 《计算机应用研究》
Abstract： This paper presented a collaborative optimization scheme based on the utility function maximization model for user association and power control to increase energy efficiency in heterogeneous cellular networks, this scheme expressed as a nonlinear and mixed integer problem. In order to found the optimal solution of this problem, designed an iterative algorithm, first, the original problem was transformed into a polynomial problem with parameters, then, found the best energy efficiency factor by Dinkelbach method in outer layer, next, obtained the optimal user association matrix and transmission power respectively in inner layer. At last, experimental results shows that the proposed scheme has better performance in terms of energy efficiency and load balancing than the user association strategy at fixed power.
Hits
Hits
Downloads
Comment