一种基于空时分组码块对角化的多点协作传输方法

A Multi-point Coordinated Transmission Method Based on Space-Time Block Coding-Block Diagonalization

  • 摘要: 异构网络通过布设一些低功率的基站大幅提升频谱效率,同时也带来了严重的干扰,迫切需要一种多点协作传输方法避免干扰.针对此问题,提出了一种异构网络下基于空时分组码块对角化(space-time block coding-block diagonalization,STBC-BD)的多点协作传输方法.挑选符合协作传输条件的用户,改进用户的双流波束赋形矩阵,形成多用户双流协作传输;同时利用空时分组码对于用户的各层数据编码,提高接收信噪比;提出了一种基于干扰抵消(successive interference cancelation,SIC)的STBC-BD系统解码方法,进一步降低误码率.仿真结果表明,该算法在4×4天线配置情况下能够降低异构网络用户约3.5dB误码率(BER);结合SIC的STBC-BD解码方法与传统最小均方误差(MMSE)解码方法相比误码率降低了约2dB.

     

    Abstract: A heterogeneous network can improve spectral efficiency significantly by deploying some low-power base stations, but it can also bring serious interference; hence, a transmission method with multi-point cooperation is needed to illuminate the interference. A multi-point coordinated transmission method based on space-time block coding-block diagonalization (STBC-BD) is proposed for heterogeneous networks. Multi-user dual-stream transmission is implemented by selecting qualified users and improving a dual-stream beamforming matrix. The dual-stream data of each user is also encoded based on STBC, and the received signal to noise ratio performance is improved. Furthermore, a STBC-BD decoding algorithm based on successive interference cancelation (SIC) is designed to further reduce the error rate. According to the simulation, using the STBC-BD algorithm, users' bit error rate (BER) is decreased by 3.5 dB in the 4×4 antenna configuration. Compared with the minimum mean square error decoding algorithm, the proposed STBC-BD SIC algorithm decreases BER by 2 dB.

     

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