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arXiv 2202.07951cs.ITmath.IT
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混合关键性下速率分割多址接入的能效

Energy Efficiency in Rate-Splitting Multiple Access with Mixed Criticality

Robert-Jeron Reifert, Stefan Roth, Alaa Alameer Ahmad, Aydin Sezgin

AI总结:

针对6G C-RAN中混合关键性QoS与能效需求,本文在速率分割范式下联合优化QoS满足和发射功率,提出基于分式规划的低复杂度非凸优化算法,并验证其能效优势。

摘要:

未来第六代(6G)无线通信网络面临着既要同样满足前所未有的服务质量(QoS)需求,又要提供更高能效(EE)以最小化碳足迹的需要。此外,由于网络参与者的多样性,此类网络的用户被分配了混合关键性QoS等级。本工作聚焦于云无线接入网(C-RAN),在速率分割范式内联合优化期望QoS的满足与发射功率使用的最小化。由此,该优化问题是非凸的。因此,基于分式规划提出了一种低复杂度算法。数值结果验证了QoS满足与功率最小化之间存在权衡。此外,所提出的速率分割算法的能效高于对比方案,尤其是在混合关键性情况下。

英文摘要:

Future sixth generation (6G) wireless communication networks face the need to similarly meet unprecedented quality of service (QoS) demands while also providing a larger energy efficiency (EE) to minimize their carbon footprint. Moreover, due to the diverseness of network participants, mixed criticality QoS levels are assigned to the users of such networks. In this work, with a focus on a cloud-radio access network (C-RAN), the fulfillment of desired QoS and minimized transmit power use is optimized jointly within a rate-splitting paradigm. Thereby, the optimization problem is non-convex. Hence, a low-complexity algorithm is proposed based on fractional programming. Numerical results validate that there is a trade-off between the QoS fulfillment and power minimization. Moreover, the energy efficiency of the proposed rate-splitting algorithm is larger than in comparative schemes, especially with mixed criticality.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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