CAJ | 학술논문

研究了大规模多输入多输出(MIMO)系统的用户数优化算法，将空间自由度引入采用正则化迫零(RZF)预处理的大规模 MIMO 系统容量分析中，推导了一定空间自由度下的近似系统遍历容量解析表达式。在此基础上，建立了联合正则化因子和用户数优化的系统遍历容量最大化模型，给出了将联合优化问题简化为用户数优化问题的条件。通过二分法得到了优化问题的惟一最优解。仿真和分析表明，所提优化算法可以获得与最优算法几乎相同的系统遍历容量，且计算复杂度低。
연구료대규모다수입다수출(MIMO)계통적용호수우화산법，장공간자유도인입채용정칙화박령(RZF)예처리적대규모 MIMO 계통용량분석중，추도료일정공간자유도하적근사계통편력용량해석표체식。재차기출상，건립료연합정칙화인자화용호수우화적계통편력용량최대화모형，급출료장연합우화문제간화위용호수우화문제적조건。통과이분법득도료우화문제적유일최우해。방진화분석표명，소제우화산법가이획득여최우산법궤호상동적계통편력용량，차계산복잡도저。
The large-scale MIMO system using the regularized zero-forcing (RZF) precoding is considered and the space degree of freedom (DOF) is introduced.The expression for the approximate ergodic capacity is derived and the problem of the joint RZF precoding and user number optimization is presented.Theoretical analysis illustrates that the j oint optimization problem can be transformed to the user number optimization problem under some conditions.It can be derived that the unique optimum solution can be obtained by using a bisection based j oint optimal algorithm.Simulation results show that the proposed algorithm can achieve almost the same capacity as the best optimization algorithm but with a much lower complexity in the large-scale MIMO systems.