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A New User Selection Measure in Block Diagonalization Algorithm for Multiuser MIMO Systems

机译:多用户MIMO系统的块对角化算法中的一种新的用户选择措施

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Multiuser - Multiple Input Multiple Output (MU-MIMO) techniques were proposed to increase spectrum efficiency; a key assumption was that the Mobile Terminals (MTs) were simple with only a few antennas. This paper focuses on the Block Diagonalization algorithm (BD) based on the equal power allocation strategy as a practical MU-MIMO technique. When there are many MTs inside the service area of the access point (AP), the AP must determine, at each time slot, the subset of the MTs to be spatially multiplexed. Since the transmission performance depends on the subsets of MTs, the user selection method needs to use the Channel State Information (CSI) obtained in the physical layer to maximize the Achievable Transmission Rate (ATR). In this paper, we clarify the relationship between ATR with SU-MIMO and that with MU-MIMO in a high eigenvalue channel. Based on the derived relationship, we propose a new measure for user selection. The new measure, the eigenvalue decay factor, represents the degradation of the eigenvalues in null space compared to those in SU-MIMO; it is obtained from the signal space vectors of the MTs. A user selection method based on the proposed measure identifies the combination of MTs that yields the highest ATR; our approach also reduces the computational load of user selection. We evaluate the effectiveness of user selection with the new measure using numerical formulations and computer simulations.
机译:提出了多用户多输入多输出(MU-MIMO)技术,以提高频谱效率。一个关键的假设是,移动终端(MT)只需几个天线即可实现简单操作。本文重点研究基于等功率分配策略的块对角化算法(BD),作为一种实用的MU-MIMO技术。当接入点(AP)的服务区内有许多MT时,AP必须在每个时隙中确定要进行空间多路复用的MT的子集。由于传输性能取决于MT的子集,因此用户选择方法需要使用在物理层中获得的信道状态信息(CSI)来最大化可实现的传输速率(ATR)。在本文中,我们阐明了在高特征值信道中具有SU-MIMO的ATR和具有MU-MIMO的ATR之间的关系。基于推导的关系,我们提出了一种新的用户选择措施。新方法,特征值衰减因子,表示零空间中特征值与SU-MIMO中特征值相比的降低;它是从MT的信号空间向量获得的。基于建议措施的用户选择方法可确定产生最高ATR的MT组合;我们的方法还减少了用户选择的计算量。我们使用数值公式和计算机模拟,通过新方法评估用户选择的有效性。

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