论文标题
超密集的MMWave网络中的联合用户协会和功率分配：多连接的方法
Joint user association and power allocation in ultra-dense mmWave networks: a multi-connectivity approach
论文作者
论文摘要
在超密集的毫米波（MMWave）网络中，MMWave信号遭受严重的路径损失，并且很容易被障碍物阻塞。同时，超密集的部署会导致过度的切换，从而降低了数据链接可靠性。为了减轻上述问题，本信中纳入了新技术，称为多连接性用户协会（MCUA）。我们的目标是共同优化MCUAS和下行链路（DL）功率分配（PAS），以同时而不是总计最大化每个用户的DL速率。这是一个非凸线非线性0-1混合整数多目标优化问题，并且非常复杂。为了解决它，我们首先使用加权和方法将其标记为单目标优化问题（SOOP），然后放宽二进制关联变量到真实的变量。考虑到放松的SOOP仍然是非凸面，我们对其进行了一系列的转换，并使其成为凸编程的差异。最后，我们基于凸 - 串联程序来开发一种迭代算法来解决SOOP。提出了数值结果，以证明所提出的算法的有效性。
In ultra-dense millimeter wave (mmWave) networks, mmWave signals suffer from severe path losses and are easily blocked by obstacles. Meanwhile, ultra-dense deployment causes excessive handovers, which reduces the data link reliability. To alleviate the above issues, the novel technology, known as multi-connectivity enabled user association (MCUA) is incorporated in this letter. We aim to jointly optimize MCUAs and downlink (DL) power allocations (PAs) to maximize the DL rate of each user simultaneously, rather than total. This is a non-convex nonlinear 0-1 mixed integer multi-objective optimization problem and quite complicated. To solve it, we first use the weighted sum method to scalarize it as a single-objective optimization problem (SOOP), and then relax the binary association variables to real ones. Considering that the relaxed SOOP is still non-convex, we perform a series of transformations upon it and make it a differential of convex programming. Finally, we develop an iterative algorithm based on the convex-concave procedure to solve the SOOP. Numerical results are presented to demonstrate the effectiveness of the proposed algorithms.
