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Dynamic cooperation link selection for network MIMO systems with limited backhaul capacity

机译:回程容量有限的网络MIMO系统的动态协作链路选择

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Base-station (BS) cooperation in wireless cellular networks offers a promising approach for interference mitigation. However, the implementation of practical network multi-input multi-output (MIMO) system also faces the challenge of high capacity cost for sharing the user data over the backhaul connections. This paper considers a downlink multi-cell orthogonal frequency-division multiple-access (OFDMA) network where the capacities of the backhaul links between the BSs are limited, and extends the single-antenna BS multi-cell system model considered in our previous work to the multiple-antenna BS case. The BSs use zero-forcing precoding to spatially multiplex multiple users within each cell and to pre-subtract the interference from cooperating BSs that share user data with them. An iterative algorithm that maximizes the downlink network utility is proposed. The algorithm iteratively selects the cooperation links, schedules the users, and optimizes the precoding coefficients and the power spectra for each frequency tone. Numerical results suggest that the use of dynamic cooperation link selection can provide a better trade-off between the downlink sum-rate gain and the backhaul capacity than the earlier fixed link-selection algorithm.
机译:无线蜂窝网络中的基站(BS)合作为缓解干扰提供了一种有前途的方法。然而,实际的网络多输入多输出(MIMO)系统的实现还面临通过回程连接共享用户数据的高容量成本的挑战。本文考虑了基站之间回程链路容量受限的下行链路多小区正交频分多址(OFDMA)网络,并将我们先前工作中考虑的单天线BS多小区系统模型扩展到多天线BS机箱。 BS使用迫零预编码在每个小区内在空间上复用多个用户,并从与之共享用户数据的协作BS中减去干扰。提出了一种最大化下行链路网络效用的迭代算法。该算法迭代地选择协作链接,调度用户,并针对每个频率优化预编码系数和功率谱。数值结果表明,与早期的固定链路选择算法相比,使用动态协作链路选择可以在下行链路总速率增益和回程容量之间提供更好的折衷。

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