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Spatial Precoding and Loading for Multi-User Mutiple-Antenna OFDM Systems
In this paper we investigated interference presubtraction problems in multi-users downlink channel for multiple-antennas OFDM system, in which the number of users is larger than the number of transmit antennas. We present a new jointly spatial loading and precoding strategy to select reasonably a group of users for each tone on each transmit antenna by maximizing signal to interference and noise ratio (SINR), Then we introduce vector perturbation precoding in order to cancel multi-users interference at transmitter and achieve the maximum capacity or the minimum BER. Compared with conventional channel inversion and regularization channel inversion method, our proposed method has demonstrated a better performance than other methods because of multi-users diversity gain. Moreover, the proposed method would not increase peak-to-average power ratio (PAPR) of systems.
Spatial Precoding and Loading for Multi-User Mutiple-Antenna OFDM Systems
In this paper we investigated interference presubtraction problems in multi-users downlink channel for multiple-antennas OFDM system, in which the number of users is larger than the number of transmit antennas. We present a new jointly spatial loading and precoding strategy to select reasonably a group of users for each tone on each transmit antenna by maximizing signal to interference and noise ratio (SINR), Then we introduce vector perturbation precoding in order to cancel multi-users interference at transmitter and achieve the maximum capacity or the minimum BER. Compared with conventional channel inversion and regularization channel inversion method, our proposed method has demonstrated a better performance than other methods because of multi-users diversity gain. Moreover, the proposed method would not increase peak-to-average power ratio (PAPR) of systems.
Spatial Precoding and Loading for Multi-User Mutiple-Antenna OFDM Systems
Wu, Gang (Autor:in) / Law, Choi (Autor:in) / Guan, Yong (Autor:in) / Hu, Su (Autor:in) / Li, Shaoqian (Autor:in)
01.06.2006
4684354 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
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