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...
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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） *** 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.
信噪比估计器(Signal-to-Noise Ratio Estimator,SNRE)可用于移动通信中的多个领域,例如LDPC码软译码器中就需要信道信噪比以用于计算接收码字的先验信息。该文在一种加性白高斯噪声(Additive White Gaussian Noise,AWGN)信道中在线SNR...
详细信息
信噪比估计器(Signal-to-Noise Ratio Estimator,SNRE)可用于移动通信中的多个领域,例如LDPC码软译码器中就需要信道信噪比以用于计算接收码字的先验信息。该文在一种加性白高斯噪声(Additive White Gaussian Noise,AWGN)信道中在线SNRE的基础上,推出一种低复杂度的衰落信道盲信噪比估计器(Fading channel Blind SNRE,FBSNRE)。仿真结果表明FBSNRE在应用于LDPC码译码器时具有较好的性能。
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