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Age-optimal Power Allocation Policies for NOMA and Hybrid NOMA/OMA Systems

机译:用于NOMA和杂交NOMA系统的年龄 - 最佳功率分配策略

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In this paper, we study downlink short-packet communication in wireless networks, where a base station (BS) sends time-sensitive status updates to users via non-orthogonal multiple access (NOMA) or Adaptive NOMA/orthogonal multiple access (OMA). The Age of Information (AoI), namely the amount of time that elapsed since the most recently delivered packet was generated, captures the freshness of the information. We aim to minimize the Expected Weighted Sum AoI (EWSAoI) by optimizing the power allocation. First, a low-complexity power allocation policy, namely Stationary Power Allocation policy is proposed in NOMA. In this policy, the BS allocates fixed power to each user and we obtain the closed-form expression of the optimal allocation factor to minimize the EWSAoI. Then, we propose an Adaptive NOMA/OMA policy based on Lyapunov Optimization in which the BS can adaptively switch between NOMA and OMA and dynamically allocate power for users to keep the EWSAoI low. Numerical results demonstrate the advantages of the proposed policies, which provide useful insights for practical system designs.
机译:在本文中,我们研究了无线网络中的下行链路短数据包通信,其中基站(BS)通过非正交多址(NOMA)或自适应NOMA /正交多访问(OMA)向用户发送时间敏感状态更新。信息的年龄(AOI),即自最近交付的数据包生成以来经过的时间量,捕获了信息的新鲜度。我们的目标是通过优化功率分配来最小化预期的加权和AOI(EWSAOI)。首先,在NOMA中提出了一种低复杂性功率分配政策,即静止功率分配政策。在此策略中,BS将固定电量分配给每个用户,我们获得最佳分配因子的闭合表达式,以最小化EWSAOI。然后,我们提出了一种基于Lyapunov优化的自适应NOMA / OMA策略,其中BS可以自适应地在NOMA和OMA之间切换,并动态地为用户提供电力,以保持EWSAOI低。数值结果证明了拟议的政策的优势,为实际系统设计提供了有用的见解。

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