Resource Allocation and Beamforming design for Downlink MISO-URLLC Systems

Bingqian Zhu, Baoyin Bian, Yehua Zhang, Wenmeng Li, Lang Li, Jing Jiang, Hua Zhang, Jun-Bo Wang
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Abstract

Ultra-reliable low-latency communication (URLLC) is a popular scenario in 6G wireless networks, which is also chal-lenging. In this paper, a downlink multiple-input single-output (MISO) URLLC system, which has a multiple-antenna base station (BS) and multiple single-antenna users was considered. With the objective of minimizing the total power, an algorithm about resource allocation and beamforming design was proposed. In the finite blocklength system, the objective issue is non-convex due to the constraints of decoding error probability, which makes computing complex. Hence, a path-following algorithm which is based on the successive convex approximation (SCA) was proposed. Numerical results are analyzed to verify the efficiency of the algorithm we proposed.
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下行MISO-URLLC系统的资源分配与波束形成设计
超可靠低延迟通信(URLLC)是6G无线网络中流行的场景,这也具有挑战性。本文研究了具有多天线基站(BS)和多个单天线用户的下行多输入单输出(MISO) URLLC系统。以总功率最小为目标,提出了一种资源分配和波束形成设计算法。在有限块长系统中,由于译码错误概率的限制,目标问题是非凸的,这使得计算变得复杂。为此,提出了一种基于逐次凸逼近的路径跟踪算法。数值结果验证了所提算法的有效性。
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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