Minimizing Age of Information in the Uplink Multi-User Networks via Dynamic Bandwidth Allocation  被引量:2

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作  者:Zeyuan Zhu Xinrong Guan Baoquan Yu Tian Yu Yueming Cai 

机构地区:[1]College of Communication Engineering,Army Engineering University of PLA,Nanjing 210007,China [2]Unit 31401 of PLA,Jinan 250002,China

出  处:《China Communications》2023年第4期287-301,共15页中国通信(英文版)

基  金:supported by the Natural Science Foundations of China under Grant(62171464,62171461);the National Key R&D Program of China(No.11112018YFB1801103);the Natural Science Foundation on Frontier Leading Technology Basic Research Project of Jiangsu under Grant BK20212001。

摘  要:Improving the information freshness is critical for the monitoring and controlling applications in the cellular Internet of Things(IoT).In this paper,we are interested in optimizing the bandwidth allocation dynamically to improve the information freshness of the short packet based uplink status updates,which is characterized by a recently proposed metric,age of information(Ao I).We first design a status update scheme with channel distribution information(CDI).By relaxing the hard bandwidth constraint and introducing a Lagrangian multiplier,we first decouple the multi-MTCD bandwidth allocation problem into a single MTCD Markov decision process(MDP).Under the MDP framework,after variable substitution,we obtain the single-MTCD status update scheme by solving a linear programming problem.Then,we adjust the Lagrangian multiplier to make the obtained scheme satisfy the relaxed bandwidth constraint.Finally,a greedy policy is built on the proposed scheme to adjust the bandwidth allocation in each slot to satisfy the hard bandwidth constraint.In the unknown environment without CDI,we further design a bandwidth allocation scheme which only maximizes the expected sum Ao I drop within each time slot.Simulation results show that in terms of AoI,the proposed schemes outperform the benchmark schemes.

关 键 词:Internet of Things age of information short packet communications bandwidth allocation 

分 类 号:TP391.44[自动化与计算机技术—计算机应用技术] TN929.5[自动化与计算机技术—计算机科学与技术]

 

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