发明名称 Method and device for pre-coding, and method and device for decoding
摘要 The present invention relates to the field of wireless communications technologies, and discloses a method and device for pre-coding and a method and device for decoding. The present invention implements an interference alignment method with excellent performance, can effectively increase the capacity of a multi-user interference system and reduce the mutual interference among users, The method for pre-coding includes: calculating a pre-coding matrix for each transmitting end according to a sum of mean square errors of data vectors to be transmitted by each transmitting ends; and using the pre-coding matrix to pre-code the data to be transmitted by each transmitting end. The present invention has broad application prospects, for example, can be used in LTE and LTE-Advanced CoMP technology.
申请公布号 US8781021(B2) 申请公布日期 2014.07.15
申请号 US201213525641 申请日期 2012.06.18
申请人 Huawei Technologies Co., Ltd. 发明人 Shen Hui;Li Bin;Luo Yi
分类号 H04B15/00;H04B7/04;H04L25/03 主分类号 H04B15/00
代理机构 Staas & Halsey LLP 代理人 Staas & Halsey LLP
主权项 1. A method for pre-coding, comprising: calculating a pre-coding matrix for each transmitting end according to a sum of mean square errors of data vectors to be transmitted by each transmitting end; and using the pre-coding matrix to pre-code data to be transmitted by each transmitting end, wherein the calculating of the pre-coding matrix comprises: calculating the pre-coding matrix for each transmitting end according to a minimum value of the sum of mean square errors of data vectors to be transmitted by each transmitting end; orcalculating the pre-coding matrix for each transmitting end according to a minimum value of a product of the sum of mean square errors of data vectors to be transmitted by each transmitting end and a weight factor; orcalculating the pre-coding matrix for each transmitting end according to a minimum value of a sum of or a difference between the sum of mean square errors of data vectors to be transmitted by each transmitting end and a bias parameter,the sum of mean square errors of data vectors including an estimated error for a channel coefficient matrix.
地址 Shenzhen CN