论文标题

通过混合Noma/OMA最大程度地减少信息的年龄

Minimizing Age of Information via Hybrid NOMA/OMA

论文作者

Wang, Qian, Chen, He, Li, Yonghui, Vucetic, Branka

论文摘要

本文考虑了一个带有基站(BS)的无线网络,该网络通过混合非正交多访问(NOMA)/正交多访问(OMA)以插入的方式及时向两个客户进行及时传输。具体而言,BS能够在Noma和OMA之间自适应切换下链路传输,以最大程度地减少以信息时代(AOI)为特征的新鲜度(以信息时代为特征)。如果BS选择OMA,它只能在一个时间段内为一个客户提供服务,并且应该决定要服务哪个客户;如果BS选择了Noma,它可以同时为两个客户提供服务,并应决定分配给每个客户的功率。为了最大程度地减少网络的预期AOI的加权总和,我们制定了马尔可夫决策过程(MDP)问题,并为BS制定最佳策略,以决定是否基于两个客户的瞬时AOI来为每个下行链路传输使用Noma还是OMA。我们证明了最佳静止和确定性政策的存在,并执行动作消除以减少降低计算复杂性的动作空间。最佳策略被证明具有具有明显决策切换边界的切换型属性。还设计了较低的计算复杂性的次优政策,根据我们的仿真结果,可以实现近乎最佳的性能。比较了不同系统设置下不同策略的性能,并在数值结果中分析,以为实用的系统设计提供有用的见解。

This paper considers a wireless network with a base station (BS) conducting timely transmission to two clients in a slotted manner via hybrid non-orthogonal multiple access (NOMA)/orthogonal multiple access (OMA). Specifically, the BS is able to adaptively switch between NOMA and OMA for the downlink transmission to minimize the information freshness, characterized by Age of Information (AoI), of the network. If the BS chooses OMA, it can only serve one client within a time slot and should decide which client to serve; if the BS chooses NOMA, it can serve both clients simultaneously and should decide the power allocated to each client. To minimize the weighted sum of expected AoI of the network, we formulate a Markov Decision Process (MDP) problem and develop an optimal policy for the BS to decide whether to use NOMA or OMA for each downlink transmission based on the instantaneous AoI of both clients. We prove the existence of optimal stationary and deterministic policy, and perform action elimination to reduce the action space for lower computation complexity. The optimal policy is shown to have a switching-type property with obvious decision switching boundaries. A suboptimal policy with lower computation complexity is also devised, which can achieve near-optimal performance according to our simulation results. The performance of different policies under different system settings is compared and analyzed in numerical results to provide useful insights for practical system designs.

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