Resource Scheduling in Vehicular Networks with Age of Information and Channel Awareness

Wang, Jian; Cao, Tengfei; Wang, Xiaoying; Zhang, Man; Guan, Jianfeng

doi:10.1109/iccc55456.2022.9880785

Cited by 5 publications

(1 citation statement)

References 15 publications

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“…There have been several research studies on AoI-minimization problems in various wireless communication scenarios [ 6 , 7 , 8 , 9 , 10 , 11 ]. Most of those problems are modeled as a constrained Markov decision process (CMDP).…”

Section: Introductionmentioning

confidence: 99%

On the Adaptive Buffer-Aided TDMA Uplink System with AoI-Aware Status-Update Services and Timely Throughput Traffics

Wang,

Chen,

Wang

et al. 2024

Sensors

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In this paper, we study a buffer-aided TDMA uplink network, where multiple status-update devices and throughput-demand devices are supposed to upload their data to one information access point (AP), and all devices are assumed to be provisioned with a data buffer to temporarily store the randomly generated data from either the installed sensor or upper-layer applications. To fulfill the communication requirements using two types of devices, the average Age of Information (AoI) is utilized to characterize the data freshness of the status-update devices, while the average sum rate is employed to capture the average transmission performance of the throughput-demand devices. On this basis, a joint-optimization problem was formulated to minimize the average AoI for status-update devices and to maximize the average sum rate for the throughput-demand devices. Lyapunov optimization framework was used to solve the problem of obtaining an AoI-aware adaptive TDMA uplink scheme. Numerical results are presented to show that an AoI-aware adaptive TDMA uplink scheme can effectively fulfill the heterogeneous service requirements using status-update devices and throughput-demand devices.

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