Precoding Optimization for NOMA UAV with Cellular Connections

Xiaowei Pang, Nan Zhao, Weile Zhang, Yunfei Chen, Jie Tang, Z. Ding, F. Adachi
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引用次数: 1

Abstract

In this paper, we investigate the uplink transmission in a cellular network from a UAV and ground users to ground base stations (BSs). Specifically, we aim to maximize the sum rate of the uplink from the UAV to ground BSs in a specific idle frequency band as well as from the co-channel users to their associated BSs by optimizing precoding vectors at UAV. To mitigate the interference, we apply successive interference cancellation (SIC) not only to the BSs connected with UAV using non-orthogonal multiple access (NOMA) for transmission, but also to other BSs communicating with ground users in the same band. The precoding optimization problem with constraints on the SIC decoding and the uplink transmission rate is formulated, which is non-convex and intractable. Thus, we introduce auxiliary variables and apply first-order approximations based on Taylor expansion to convert it into a second-order cone programming. An iterative algorithm is proposed with low complexity to calculate the solution to the non-convex precoding optimization problem. Numerical results demonstrate the effectiveness of our proposed scheme.
蜂窝连接下NOMA无人机的预编码优化
本文研究了蜂窝网络中从无人机和地面用户到地面基站(BSs)的上行传输。具体而言,我们的目标是通过优化无人机上的预编码向量,使无人机到特定空闲频段的地面基站以及同信道用户到其相关基站的上行链路的总和速率最大化。为了减轻干扰,我们不仅对使用非正交多址(NOMA)与无人机连接的BSs进行传输,而且对与地面用户在同一频段通信的其他BSs进行连续干扰抵消(SIC)。提出了具有SIC解码和上行传输速率约束的预编码优化问题,该问题具有非凸性和难处理性。因此,我们引入辅助变量并应用基于泰勒展开的一阶近似将其转化为二阶锥规划。提出了一种求解非凸预编码优化问题的低复杂度迭代算法。数值结果表明了该方法的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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