分层动态虚拟 MIMO 的信道容量分析

针对如何解决目前移动通信频率紧缺及信道容量不足的问题,提出了一种新型的分层动态虚拟多输入多输出(multiple input multiple output,MIMO)系统结构,该结构结合了移动云的灵活接入、覆盖面积广等特点,并将虚拟MIMO技术融合在该结构中,较显著地提高了系统的信道容量.在该结构下,用户在层次之间进行通信并利用注水算法进行功率的优化分配.而对用户在跨越多层次进行通信的情形,提出了一种同时将层次间距离和传输功率进行最优化的马尔可夫链算法.该算法通过监测用户的变化进而调节层次间距离和传输功率,从而获得最大的信道容量.仿真结果显示,注水算法通过功率优化获得了层次间的分层动态虚拟MIMO结构的最大信道容量,马尔可夫链算法实现了用户跨越多层次通信情形下的最大信道容量.

Channel capacity analysis of hierarchical dynamic virtual MIMO

With respect to the problems that the frequency of mobile communication is lacking and with limited channel capacity, we put forward a new kind of hierarchical dynamic virtual MIMO( multiple input multiple output) system model.This structure combines with the flexiblility of mobile cloud, wide coverage, etc. And the structure integrates virtual MIMO technology which is significantly improved the channel capacity. The user communicates between the levels and utilizes the waterfilling power allocation of the optimum. And then, When the user crosses many levels to communicate with others, the MCMC(Markov chain Monte Carlo) method is put forward which considers the distance of levels and the transmitted power at the same time. The algorithm supervises the change of users to adjust the distance of levels and transmitted power to achieve the maximum channel capacity. Simulation results show that the waterfilling algorithm can achieve the maximum channel capacity of the hierarchical dynamic virtual MIMO on the levels. The MCMC method can reach the maximum of channel capacity on the users across layers of communication