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Least Pair-Wise Collision Beam Schedule for mmWave Inter-Cell Interference Suppression

机译:用于毫米波小区间干扰抑制的最小对智冲突波束计划

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The narrow beamwidth characteristic in millimeter wave (mmWave) makes the level of inter-cell interference depend on the beams used by adjacent cells, which indicates that a well-designed schedule of the beams in neighboring cells can reduce the inter-cell interference. In this paper, we investigate a time-domain mmWave beam scheduling problem for interference suppression in a two-cell scenario, where each cell may transmit one or multiple beams simultaneously. Specifically, the beams are one-to-one paired between two adjacent cells, and the simultaneous transmission of two beams in one pair can cause severe inter-cell interference, which is referred to as a pairwise collision. Instead of optimizing the sum rate of network, we minimize the number of pair-wise collision time slots under the constraint of the service demand of each beam. In this way, the channel state information is not required, and the global optimal solution can be found by our proposed least pair-wise collision (LPC) algorithm, which is a recursive algorithm with linear computational complexity. After that, we extend LPC algorithm to more complicated models, including an asymmetric model and a full-dimension model. Finally, simulations are conducted to verify the efficiency of our methodology.
机译:毫米波(mmWave)的窄波束宽度特性使小区间干扰的水平取决于相邻小区使用的波束,这表明精心设计的相邻小区中的波束调度可以减少小区间干扰。在本文中,我们研究了时域mmWave波束调度问题,该问题用于在两个小区的情况下抑制干扰,其中每个小区可能同时传输一个或多个波束。具体地,光束在两个相邻小区之间一对一地配对,并且一对中的两个光束的同时传输会引起严重的小区间干扰,这被称为成对碰撞。我们没有优化网络的总速率,而是在每个波束的服务需求约束下将成对冲突时隙的数量最小化。这样,不需要信道状态信息,并且可以通过我们提出的最小对撞(LPC)算法找到全局最优解,该算法是具有线性计算复杂度的递归算法。之后,我们将LPC算法扩展到更复杂的模型,包括不对称模型和全尺寸模型。最后,进行仿真以验证我们方法的效率。

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