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Optimal BS Deployment and User Association for 5G Millimeter Wave Communication Networks

机译:最佳BS部署和5G毫米波通信网络的用户关联

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摘要

Although millimeter wave (mmWave) communications can well support high-data-rate transmissions, the inherent shortcomings, e.g., high path loss and sensitivity to blockage, may cause severe outage problems if the network is not configured properly. This paper aims to minimize the long-term outage probability of an mmWave communication network by optimizing the base station (BS) deployment and user association. For the BS deployment problem, existing works usually assumed that the positions of users are fixed and formulated it as a deterministic optimization problem. With the time-varying nature of positions of user equipments (UEs) taken into account, we establish a stochastic optimization framework for BS deployment optimization. The objective is to maximize the average number of physically accessible BSs of each UE under an inaccessible probability constraint, and a cooperative stochastic approximation (CSA)-based algorithm is developed to effectively search the optimal positions of BSs. For user association, our focus is to properly associate UEs with BSs to minimize the outage probability with balanced workloads among BSs. Combined with the proposed user association scheme, the proposed BS deployment scheme can significantly improve the network outage probability in the long term, especially when the aggregation degree of UEs is large.
机译:虽然毫米波(MMWAVE)通信可以很好地支持高数据速率传输,因此固有的缺点,例如,对阻塞的高路径损耗和敏感性,如果网络未正确配置,则可能导致严重的中断问题。本文旨在通过优化基站(BS)部署和用户关联来最小化MMWAVE通信网络的长期停电概率。对于BS部署问题,现有的作品通常假设用户的位置是固定的并将其制定为确定性优化问题。考虑到用户设备(UE)位置的时变性,我们为BS部署优化建立了随机优化框架。目的是在不可访问的概率约束下最大化每个UE的物理上接近BS的平均数,并且开发了基于协作随机近似(CSA)的算法以有效地搜索BSS的最佳位置。对于用户协会,我们的焦点是正确将UE与BSS相关联,以最小化BS之间具有平衡工作负载的中断概率。结合所提出的用户关联方案,所提出的BS部署方案可以在长期内显着提高网络中断概率,尤其是当UE的聚合程度大时。

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