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Performance Evaluation of User Selection based on Average SNR in Base Station Cooperation Multi-User MIMO

机译:基于平均SNR在基站协作中的平均SNR的用户选择性能评估多用户MIMO

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The throughput performance of Mobile Station (MS) in the cell edge is bottle neck for the whole throughput performance of cellular MIMO system. For solving this bottle neck, a base station cooperation (BSC) MIMO technology has been proposed. In addition, in BSC multiuser MIMO (MU-MIMO), the freedom of assigning the wireless channel to user becomes large and thus large user diversity gain can be obtained. As a result, the larger capacity wireless communication can be established. In BSC MIMO, however, when the user is selected as large channel capacity is achieved, the selection is significantly complicated process. Meanwhile, the antenna of BS is far from each other. Therefore, BSC MIMO technique can construct the diversity for shadowing. Since the average SNR strictly depends on the shadowing effect, the average SNR is good criterion for selecting the user. This paper propose the user selection method based on the average received SNR for reducing the computational complexity but achieving large capacity in BSC MU-MIMO down-link system.
机译:电池边缘中移动台(MS)的吞吐量性能是蜂窝MIMO系统的整个吞吐量性能的瓶颈。为了解决这个瓶颈,已经提出了基站合作(BSC)MIMO技术。另外,在BSC多用户MIMO(MU-MIMO)中,将无线信道的自由度分配给用户变大,因此可以获得大的用户分集增益。结果,可以建立更大的容量无线通信。然而,在BSC MIMO中,当达到用户被选择为大信道容量时,选择是显着复杂的过程。同时,BS的天线远离彼此。因此,BSC MIMO技术可以构建阴影的分集。由于平均SNR严格依赖于阴影效果,因此平均SNR是选择用户的良好标准。本文提出了基于平均接收性SNR的用户选择方法,用于降低计算复杂性,但在BSC MU-MIMO下链路系统中实现大容量。

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