Oct 10, 2023 · We propose a Q-learning combined with diversity slotted compressive random access control scheme (QDCC) to enhance resource utilization and throughput.
Abstract—The satellite Internet of Things (IoT) covers a vast area with multiple nodes and has limited resources for random access, which leads to low ...
In this paper, we propose a Q-learning combined with diversity slotted compressive random access control scheme (QDCC) to enhance resource utilization and ...
Fang Jiang , Song Ma , Tian-Yu Yin, Yi Wang , Yan-Jun Hu: An Access Control Scheme Combining Q-Learning and Compressive Random Access for Satellite IoT.
In this letter, we propose a distributed Q-learning (DQL) based joint relay selection and access control (JRSAC) scheme for Internet of Things ...
A novel random access scheme for machine-type-communication devices (MTCDs) is proposed, to maximize the efficiency of random access for contention-based ...
An Access Control Scheme Combining Q-Learning and Compressive Random Access for Satellite IoT ... Satellite Internet of Things with Deep Reinforcement Learning.
IEEE. An Access Control Scheme Combining Q-Learning and Compressive Random Access for Satellite IoT. Jiang F., Ma S., Yin T., Wang Y., Hu Y. Q1. IEEE ...
grant-free massive access for satellite-based IoT in the 6G era
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This study analyzes multiple access technologies, which are essential for the effective deployment of satellite-based IoT.
The IoT devices are usually connected by wireless networks to an access point (AP) such as a mobile base station. (BS), which acts as a gateway to the Internet ...