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A low complexity two-stage user scheduling scheme for MmWave massive MIMO hybrid beamforming systems

机译:MmWave大规模MIMO混合波束成形系统的低复杂度两阶段用户调度方案

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In an overloaded MU-MIMO system with hybrid beamforming that supports a very large number of users, user scheduling is necessary as the base station (BS) cannot simultaneously serve such a large number of users. Since hybrid beamforming provides a new resource to schedule, i.e. beams, user pairing becomes a joint optimization on user selection and beam selection, which is computationally demanding. In this paper, a low-complexity two-stage user scheduling scheme considering both the inter-user channel correlation and the channel energy is proposed. The idea is motivated by the fact that both the orthogonality between the user channels and the channel energy can affect the system achievable sum rate in a MU-MIMO system. Therefore, we propose to firstly sort the users from the perspective of channel orthogonality, and then carry out user and beam selection within a narrowed range for channel energy maximization. Simulation results validate the proposed scheduling strategy not only has a significant advantage in reducing computational complexity, but also achieves higher sum rate than other non-exhaustive schemes.
机译:在具有支持大量用户的混合波束成形的过载MU-MIMO系统中,用户调度是必需的,因为基站(BS)无法同时为如此大量的用户提供服务。由于混合波束成形提供了用于调度即波束的新资源,因此用户配对成为用户选择和波束选择的联合优化,这在计算上是需要的。本文提出了一种兼顾用户间信道相关性和信道能量的低复杂度两阶段用户调度方案。该想法是受以下事实启发的:用户信道之间的正交性和信道能量均会影响MU-MIMO系统中系统可达到的总速率。因此,我们建议首先从信道正交性的角度对用户进行排序,然后在狭窄的范围内进行用户和波束的选择,以实现信道能量的最大化。仿真结果验证了所提出的调度策略不仅在降低计算复杂度方面具有显着优势,而且比其他非穷举方案具有更高的求和率。

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