Aiming at previous research primarily focused on constructing service paths with a single objective,for exam-ple,latency minimization,cost minimization or load balance,which ignored the overall performance of constructed ser-vice paths,a multi-objective service path constructing algorithm based on discrete particle swarm optimization (MOPSO) was proposed.To promote the convergence rate and improve constructing performance,the criterions for selecting can-didate physical nodes and paths were explored,and a particle position initialization and update strategy (PIFC) was de-signed.Simulation experiments show that the proposed algorithms can improve the overall quality of service paths and increase the success rate and long-term average revenue. 相似文献
For cooperative received high-order modulation PCMA (paired carrier multiple access) signals,joint estima-tion of frequency offset and time delay was proposed.The sequence samples stored locally were used as auxiliary data.Estimation of frequency offset and time delay was calculated by optimizing the objective function,which was obtained from the cross-correlation computation of the auxiliary data and mixed signal,and the optimized process was accom-plished by utilizing two-dimensional search.By setting the threshold of joint estimation,the calculated amount was greatly reduced.Modified Cramer-Rao bound (MCRB) of interference frequency offset and time delay was derived,which provided theoretical basis for performance of the proposed algorithm.Simulation results show that the algorithm has similar performance with existing algorithms,but its complexity is reduced by two-thirds. 相似文献
Two scrambler blind recognition methods based on soft information were proposed for received signal in non-cooperative ways.The first method established a cost function of the scrambler coefficients by using the soft information,and adopted the optimization theory of real number field for positive solution.So it didn’t need to traverse the closed set of test polynomial any more.The second method built conformity degree concept with the soft information,and used the size of conformity of each test scrambler polynomial as the discriminant criteria.So it made more full use of the received information compared to the hard sentence recognition algorithm.Simulation results show that the first method can shorten the recognition time of a synchronous scrambler polynomial from 5 min 18 s to 8 s compared with the traversal method put forward by Cluzeau,and the second method has 2 dB SNR gain when to achieve the relatively high accuracy compared with the hard sentence recognition algorithm. 相似文献