tailieunhanh - Research on optimality of beamforming in MIMO model to improve SER in multipath mobile transmission environment

The paper also uses power allocation for these beams on principle of “ water filling”, the gain of path is better, more transmit power is assigned to the path. The simulation can show the SER is improved if using more beams for more paths and also the optimal power allocation is giving the lower SER compared with the case using equal power allocation to all paths. | Journal of Science & Technology 128 (2018) 020-025 Research on Optimality of Beamforming in MIMO Model to Improve SER in Multipath Mobile Transmission Environment Tran Hoai Trung University of Communications and Transport, , Cau Giay, Lang Thuong, Hanoi, Viet Nam Received: September 27, 2017; Accepted: May 25, 2018 Abstract Some papers are researching on how to optimize the beam weighs in generally. They discover beam patterns are related with upper bound of SER and can allocate power to these beams. The environment is used to illustrate these beams are Ricean and Rayleigh distributed. However, in multipath mobile environments, how they are applied in the transmit beams needs to be made clear. This paper concentrates on use of the multipath mobile channel matrix of MIMO to form the beams along with the physical paths at the transmitter. The paper also uses power allocation for these beams on principle of “ water filling”, the gain of path is better, more transmit power is assigned to the path. The simulation can show the SER is improved if using more beams for more paths and also the optimal power allocation is giving the lower SER compared with the case using equal power allocation to all paths. Keywords: MIMO, SER, beamforming. 1. Introduction* considers reducing CSI by using the subspace estimation instead the other information of channel. The true channel matrix, that the transmitter does not fully know, can be modeled as a Gaussian random matrix (or vector) whose mean and covariance is given in the feedback. Two point by point type of criticism are channel mean (CM) and channel covariance (CC) [1],[2],[7],[8]. The author concentrates on the CC, incorporating be explored for processing rapidly changing MIMO channels. In massive MIMO systems, normally for 5G, the pilot sequence is used to estimate the CSI in both directions. These are based on picking up the strongest channel impulse responses. CSI can be estimated at the receiver side only, or at both

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