In downlink multi-user multi-input multi-output(MU-MIMO)system,not every user(user equipment(UE))can calculate accurately signal to interference and noise ratio(SINR)without prior knowledge of the other users'prec...In downlink multi-user multi-input multi-output(MU-MIMO)system,not every user(user equipment(UE))can calculate accurately signal to interference and noise ratio(SINR)without prior knowledge of the other users'precoding vector.To solve this problem,this article proposes a channel inversion precoding scheme by using the lower bound of S1NR and zero-forcing(ZF)algorithm.However,the SINR mismatch between lower bound SINR and actual SINR causes the inaccurateness of adaptive modulation and coding(AMC).As a result,it causes degradation in performance.Simulation results show that channel inversion precoding provides lower throughput than that of single user multi-input multi-output(SU-MIMO)at high signal-to-noise ratio(SNR)(〉14 dB),due to the SINR mismatch,although the sum-rate of channel inversion precoding is higher than that of SU-MIMO at full SNR regime.展开更多
The sand-conglomerate fans are the major depositional systems in the lower third member of Shahejie Formation in Shengtuo area, which formed in the deep lacustrine environment characterized by steep slope gradient, ne...The sand-conglomerate fans are the major depositional systems in the lower third member of Shahejie Formation in Shengtuo area, which formed in the deep lacustrine environment characterized by steep slope gradient, near sources and intensive tectonic activity. This work was focused on the sedimentary feature of the glutenite segment to conduct the seismic sedimentology research. The near-shore subaqueous fans and its relative gravity channel and slump turbidite fan depositions were identified according to observation and description of cores combining with the numerous data of seismic and logging. Then, the depositional model was built depending on the analysis of palaeogeomorphology. The seismic attributes which are related to the hydrocarbon but relative independent were chosen to conduct the analysis, the reservoir area of the glutenite segment was found performing a distribution where the amplitude value is relatively higher, and finally the RMS amplitude attribute was chosen to conduct the attribute predicting. At the same time, the horizontal distribution of the sedimentary facies was analyzed qualitatively. At last, the sparse spike inversion method was used to conduct the acoustic impedance inversion, and the inversion result can distinguish glutenite reservoir which is greater than 5 m. This method quantitatively characterizes the distribution area of the favorable reservoir sand.展开更多
基金supported by the National Natural Science Foundation of China(60602058)the Hi-Tech Research and Development Program of China(2006AA01Z257)
文摘In downlink multi-user multi-input multi-output(MU-MIMO)system,not every user(user equipment(UE))can calculate accurately signal to interference and noise ratio(SINR)without prior knowledge of the other users'precoding vector.To solve this problem,this article proposes a channel inversion precoding scheme by using the lower bound of S1NR and zero-forcing(ZF)algorithm.However,the SINR mismatch between lower bound SINR and actual SINR causes the inaccurateness of adaptive modulation and coding(AMC).As a result,it causes degradation in performance.Simulation results show that channel inversion precoding provides lower throughput than that of single user multi-input multi-output(SU-MIMO)at high signal-to-noise ratio(SNR)(〉14 dB),due to the SINR mismatch,although the sum-rate of channel inversion precoding is higher than that of SU-MIMO at full SNR regime.
基金Project(41172109)supported by the National Natural Science Foundation of ChinaProject(20110003110014)supported by the ResearchFoundation for the Doctoral Program of Higher Education,China
文摘The sand-conglomerate fans are the major depositional systems in the lower third member of Shahejie Formation in Shengtuo area, which formed in the deep lacustrine environment characterized by steep slope gradient, near sources and intensive tectonic activity. This work was focused on the sedimentary feature of the glutenite segment to conduct the seismic sedimentology research. The near-shore subaqueous fans and its relative gravity channel and slump turbidite fan depositions were identified according to observation and description of cores combining with the numerous data of seismic and logging. Then, the depositional model was built depending on the analysis of palaeogeomorphology. The seismic attributes which are related to the hydrocarbon but relative independent were chosen to conduct the analysis, the reservoir area of the glutenite segment was found performing a distribution where the amplitude value is relatively higher, and finally the RMS amplitude attribute was chosen to conduct the attribute predicting. At the same time, the horizontal distribution of the sedimentary facies was analyzed qualitatively. At last, the sparse spike inversion method was used to conduct the acoustic impedance inversion, and the inversion result can distinguish glutenite reservoir which is greater than 5 m. This method quantitatively characterizes the distribution area of the favorable reservoir sand.
