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Joint Optimization of User Scheduling, Rate Allocation, and Beamforming for RSMA Finite Blocklength Transmission
IEEE Internet of Things Journal ( IF 8.2 ) Pub Date : 2024-07-09 , DOI: 10.1109/jiot.2024.3420099
Jianyue Zhu 1 , Haijia Jin 1 , Yutong He 1 , Fang Fang 2 , Wei Huang 3 , Zhizhong Zhang 1
Affiliation  

The forthcoming wireless network promises revolutionary advancements with significantly higher peak data rates, reduced latency, and vastly improved reliability. Among pivotal technologies, the design of novel multiple access schemes, particularly rate-splitting multiple access (RSMA), holds significant importance. In this article, we focus on the joint optimization of user scheduling, rate allocation, and beamforming for downlink multiple-input single-output communication networks under RSMA finite blocklength (FBL) transmission. The difficulty of the formulated optimization problem lies on the achievable rate function with FBL transmission and the joint design of user scheduling and beamforming. In order to solve the formulated problem, we first analyze the convexity and feasibility of the achievable rate function and further provide an efficient algorithm by cooperatively using strong Lagrangian duality, the difference of convex functions programming, the big-M method, and the alternating optimization algorithm for the joint optimization process. Numerical simulations validate the effectiveness of the proposed approach, offering promising insights for the future of 6G wireless networks.

中文翻译:


RSMA 有限块长度传输的用户调度、速率分配和波束成形联合优化



即将推出的无线网络有望带来革命性的进步,显着提高峰值数据速率、减少延迟并大幅提高可靠性。在关键技术中,新颖的多址接入方案的设计,特别是速率分割多址接入(RSMA),具有非常重要的意义。在本文中,我们重点研究 RSMA 有限块长度(FBL)传输下下行多输入单输出通信网络的用户调度、速率分配和波束成形的联合优化。公式化优化问题的难点在于FBL传输可实现的速率函数以及用户调度和波束成形的联合设计。为了解决公式化的问题,我们首先分析了可实现的速率函数的凸性和可行性,并进一步通过协作使用强拉格朗日对偶性、凸函数规划的差分、big-M方法和交替优化来提供有效的算法联合优化过程的算法。数值模拟验证了所提出方法的有效性,为 6G 无线网络的未来提供了有希望的见解。
更新日期:2024-07-09
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