摘要
为了获得更高速的数据传输和更大的阵列增益,提出了大规模MIMO系统中基于最大化信噪比的下行预编码算法。这种算法的基本思路如下:首先基站通过接收到的上行导频序列进行MMSE信道估计;基站在对下行数据进行预编码后将下行数据发送给用户;终端用户依据最大化接收端信噪比、采用瑞利熵优化问题得到预编码矩阵。仿真结果表明,该算法的性能比SVD算法的性能好,尤其当发射天线较多的时候,在今后的大规模MIMO系统中很有价值。
In order to obtain higher data transmission speed and greater array gain, a precoding algorithm based on max-SNR in massive MIMO system was proposed. The basic method of this algorithm was following. Firstly, the base station obtained MMSE channel estimation by received uplink pilot sequences, then the base station transmited downlink data to users after precoding. Terminal users derived the optimal precoding matrix by resolving a Rayleigh entropy optimization problem based on the received SNR. Simulation results show that the performance of the proposed algorithm is better than SVD algorithm, especially when the number of transmit antennas is large, the proposed algorithm is valuable in massive MIMO systems in the future.
出处
《电信科学》
北大核心
2015年第10期103-106,共4页
Telecommunications Science
