In order to solve the challenging coverage problem that the long term evolution（ LTE） networks are facing, a coverage optimization scheme by adjusting the antenna tilt angle（ ATA） of evolved Node B（ e NB） is pro...In order to solve the challenging coverage problem that the long term evolution（ LTE） networks are facing, a coverage optimization scheme by adjusting the antenna tilt angle（ ATA） of evolved Node B（ e NB） is proposed based on the modified particle swarm optimization（ MPSO） algorithm.The number of mobile stations（ MSs） served by e NBs, which is obtained based on the reference signal received power（RSRP） measured from the MS, is used as the metric for coverage optimization, and the coverage problem is optimized by maximizing the number of served MSs. In the MPSO algorithm, a swarm of particles known as the set of ATAs is available; the fitness function is defined as the total number of the served MSs; and the evolution velocity corresponds to the ATAs adjustment scale for each iteration cycle. Simulation results showthat compared with the fixed ATA, the number of served MSs by e NBs is significantly increased by 7. 2%, the quality of the received signal is considerably improved by 20 d Bm, and, particularly, the system throughput is also effectively increased by 55 Mbit / s.展开更多
For strata with complex structure and faulting, the conventional horizontal stack method can not provide a high quality image and the conventional DMO technique has low computational efficiency and practicability. Thi...For strata with complex structure and faulting, the conventional horizontal stack method can not provide a high quality image and the conventional DMO technique has low computational efficiency and practicability. This＇article studies a logarithm stretching DMO method in the time domain to accelerate the computational speed as well as improve the image quality. It also covers the processing of physical model and real data using the logarithm stretching DMO algorithms. The logarithm stretching DMO method can produce reflections from faults and implements the in-phase stack of dipping layers and complicated structures better than the conventional horizontal stack method. So this method has better application to thrust-nappe areas.展开更多
基金The National High Technology Research and Development Program of China(863 Program)(No.2014AA01A702)the National Science and Technology Major Project(No.2013ZX03001032-004)+1 种基金the National Natural Science Foundation of China(No.6122100261201170)
文摘In order to solve the challenging coverage problem that the long term evolution（ LTE） networks are facing, a coverage optimization scheme by adjusting the antenna tilt angle（ ATA） of evolved Node B（ e NB） is proposed based on the modified particle swarm optimization（ MPSO） algorithm.The number of mobile stations（ MSs） served by e NBs, which is obtained based on the reference signal received power（RSRP） measured from the MS, is used as the metric for coverage optimization, and the coverage problem is optimized by maximizing the number of served MSs. In the MPSO algorithm, a swarm of particles known as the set of ATAs is available; the fitness function is defined as the total number of the served MSs; and the evolution velocity corresponds to the ATAs adjustment scale for each iteration cycle. Simulation results showthat compared with the fixed ATA, the number of served MSs by e NBs is significantly increased by 7. 2%, the quality of the received signal is considerably improved by 20 d Bm, and, particularly, the system throughput is also effectively increased by 55 Mbit / s.
基金This research is sponsored by National 973 Foundation (No. 2001CB209105)
文摘For strata with complex structure and faulting, the conventional horizontal stack method can not provide a high quality image and the conventional DMO technique has low computational efficiency and practicability. This＇article studies a logarithm stretching DMO method in the time domain to accelerate the computational speed as well as improve the image quality. It also covers the processing of physical model and real data using the logarithm stretching DMO algorithms. The logarithm stretching DMO method can produce reflections from faults and implements the in-phase stack of dipping layers and complicated structures better than the conventional horizontal stack method. So this method has better application to thrust-nappe areas.
