4.7 Article

Optimizing Age of Information in Adaptive NOMA/OMA/Cooperative-SWIPT-NOMA System

期刊

IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
卷 21, 期 12, 页码 11125-11138

出版社

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TWC.2022.3190315

关键词

Age of information; MDP; Lyapunov optimiza-tion; adaptive NOMA/OMA/cooperative-SWIPT-NOMA transmission scheme

资金

  1. National Natural Science Foundation of China [61871147, 62071141]
  2. Shenzhen Municipal Science and Technology Plan [GXWD20201230155427003-20200730122528002]

向作者/读者索取更多资源

In this paper, the information freshness of short-packet communication in wireless networks is studied, and an adaptive multiple access technology with corresponding power allocation is proposed to optimize the Age of Information (AoI) performance. The advantages and feasibility of the proposed scheme are demonstrated through analysis and simulation experiments, providing valuable insights for practical system designs.
In this paper, we study the information freshness of short-packet communication in wireless networks, where a base station (BS) sends time-sensitive status updates to users via adaptive multiple access technology. To improve the Age of Information (AoI) performance of the network, the BS adapively switches among non-orthogonal multiple access (NOMA), orthogonal multiple access (OMA) and cooperative NOMA with simultaneous wireless information and power transfer (SWIPT). Specifically, the BS carefully decides the appropriate multiple access technology and the corresponding power allocation according to the state of the network to optimize the expected weighted sum of AoI (EWSAoI) of the system. To this end, we first analyze the EWSAoI of these three multiple access technologies and propose an adaptive NOMA/OMA/cooperative-SWIPT-NOMA transmission scheme. In specific, we formulate a Markov Decision Process (MDP) problem and develop an optimal policy for the BS to decide whether to use NOMA, OMA or cooperative-SWIPT-NOMA for downlink transmission based on the current state of the network. We further prove the existence of optimal stationary and deterministic policy. Furthermore, to reduce the computation complexity, a suboptimal adaptive policy based on Lyapunov Optimization is also devised, which can achieve near optimal performance according to our simulation results. The extensive simulation results demonstrate the advantages of the proposed policies, which provide useful insights for practical system designs.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据