A low complexity Per-Antenna Power Control(PAPC)approach based on Minimum Mean Squared Error(MMSE)detection for V-BLAST is proposed in this paper.The PAPC approach is developed for minimizing the Bit Error Rate(BER)av...A low complexity Per-Antenna Power Control(PAPC)approach based on Minimum Mean Squared Error(MMSE)detection for V-BLAST is proposed in this paper.The PAPC approach is developed for minimizing the Bit Error Rate(BER)averaged over all substreams when the data throughput and the total transmit power keep constant over time.Simulation results show that the Power-controlled V-BLAST(P-BLAST)outperforms the conventional V-BLAST in terms of BER performance with MMSE detector,especially in presence of high spatial correlation between antennas.However,the additional complexity for P-BLAST is not high.When MMSE detector is adopted,the P-BLAST can achieve a comparable BER performance to that of conventional V-BLAST with Maximum Likelihood(ML)detector but with low complexity.展开更多
We discuss regression analysis of current status data with the additive hazards model when the failure status may suffer misclassification.Such data occur commonly in many scientific fields involving the diagnosis tes...We discuss regression analysis of current status data with the additive hazards model when the failure status may suffer misclassification.Such data occur commonly in many scientific fields involving the diagnosis test with imperfect sensitivity and specificity.In particular,we consider the situation where the sensitivity and specificity are known and propose a nonparametric maximum likelihood approach.For the implementation of the method,a novel EM algorithm is developed,and the asymptotic properties of the resulting estimators are established.Furthermore,the estimated regression parameters are shown to be semiparametrically efficient.We demonstrate the empirical performance of the proposed methodology in a simulation study and show its substantial advantages over the naive method.Also an application to a motivated study on chlamydia is provided.展开更多
基金This project was supported by the National Natural Science Foundation of China(60496314).
文摘A low complexity Per-Antenna Power Control(PAPC)approach based on Minimum Mean Squared Error(MMSE)detection for V-BLAST is proposed in this paper.The PAPC approach is developed for minimizing the Bit Error Rate(BER)averaged over all substreams when the data throughput and the total transmit power keep constant over time.Simulation results show that the Power-controlled V-BLAST(P-BLAST)outperforms the conventional V-BLAST in terms of BER performance with MMSE detector,especially in presence of high spatial correlation between antennas.However,the additional complexity for P-BLAST is not high.When MMSE detector is adopted,the P-BLAST can achieve a comparable BER performance to that of conventional V-BLAST with Maximum Likelihood(ML)detector but with low complexity.
基金Shuwei Li's research was partially supported by the National Nature Science Foundation of China(Grant No.11901128)Nature Science Foundation of Guangdong Province of China(Grant Nos.2021A1515010044,2022A1515011901)+3 种基金Science and Technology Program of Guangzhou of China(Grant No.202102010512)the National Statistical Science Research Project(Grant No.2022LY041)Shishun Zhao's research was partially supported by the National Nature Science Foundation of China(Grant No.12071176)the Science and Technology Developing Plan of Jilin Province(20200201258JC).
文摘We discuss regression analysis of current status data with the additive hazards model when the failure status may suffer misclassification.Such data occur commonly in many scientific fields involving the diagnosis test with imperfect sensitivity and specificity.In particular,we consider the situation where the sensitivity and specificity are known and propose a nonparametric maximum likelihood approach.For the implementation of the method,a novel EM algorithm is developed,and the asymptotic properties of the resulting estimators are established.Furthermore,the estimated regression parameters are shown to be semiparametrically efficient.We demonstrate the empirical performance of the proposed methodology in a simulation study and show its substantial advantages over the naive method.Also an application to a motivated study on chlamydia is provided.
