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Your search keyword '"Peng, Fuzhou"' showing total 13 results
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13 results on '"Peng, Fuzhou"'

1. Deep Reinforcement Learning-Based Channel and Power Allocation in Multibeam LEO Satellite Systems

Author

Li, Junrong, Peng, Fuzhou, Wang, Xijun, Chen, Xiang, Akan, Ozgur, Editorial Board Member, Bellavista, Paolo, Editorial Board Member, Cao, Jiannong, Editorial Board Member, Coulson, Geoffrey, Editorial Board Member, Dressler, Falko, Editorial Board Member, Ferrari, Domenico, Editorial Board Member, Gerla, Mario, Editorial Board Member, Kobayashi, Hisashi, Editorial Board Member, Palazzo, Sergio, Editorial Board Member, Sahni, Sartaj, Editorial Board Member, Shen, Xuemin, Editorial Board Member, Stan, Mircea, Editorial Board Member, Jia, Xiaohua, Editorial Board Member, Zomaya, Albert Y., Editorial Board Member, Chen, Xiang, editor, Wang, Xijun, editor, Lin, Shangjing, editor, and Liu, Jing, editor

Published
2025
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2. Optimal Update for Energy Harvesting Sensor with Reliable Backup Energy

Author

Wang, Lixin, Peng, Fuzhou, Chen, Xiang, and Zhou, Shidong

Subjects
Computer Science - Information Theory
Abstract

In this paper, we consider an information update system where a wireless sensor sends timely updates to the destination over an erasure channel with the supply of harvested energy and reliable backup energy. The metric Age of Information(AoI) is adopted to measure the timeliness of the received updates at the destination. We aim to find the optimal information updating policy that minimizes the time-average weighted sum of the AoI and the reliable backup energy cost by formulating an infinite state Markov decision process(MDP). The optimal information updating policy is proved to have a threshold structure. Based on this special structure, an algorithm for efficiently computing the optimal policy is proposed. Numerical results show that the optimal updating policy proposed outperforms baseline policies., Comment: 9 pages, 4 figures. arXiv admin note: substantial text overlap with arXiv:2110.07233

Published
2022
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3. Optimal Update in Energy Harvesting Aided Terahertz Communications with Random Blocking

Author

Wang, Lixin, Peng, Fuzhou, Chen, Xiang, and Zhou, Shidong

Subjects
Computer Science - Information Theory
Abstract

In this paper, we consider an information update system where wireless sensor sends timely updates to the destination over a random blocking terahertz channel with the supply of harvested energy and reliable energy backup. The paper aims to find the optimal information updating policy that minimize the time-average weighted sum of the Age of information(AoI) and the reliable energy costs by formulating an infinite state Markov decision process(MDP). With the derivation of the monotonicity of value function on each component, the optimal information updating policy is proved to have a threshold structure. Based on this special structure, an algorithm for efficiently computing the optimal policy is proposed. Numerical results show that the optimal updating policy proposed outperforms baseline policies., Comment: 9 pages, 4 Postscript figures

Published
2021

4. Online Learning of Goal-Oriented Status Updating With Unknown Delay Statistics

Author

Peng, Fuzhou, Wang, Xijun, and Chen, Xiang

Abstract

With the proliferation of communication demand, goal-oriented communication goes beyond traditional bit-level approaches by emphasizing the significance of information and its relevance to specific goals. This paper addresses the goal-oriented status updating problem, where detecting status changes is crucial. We employ the Age of Changed Information (AoCI) as a metric, which considers both the timeliness and content of the update. Our goal is to minimize the weighted sum of AoCI and transmission cost without channel delay statistics. The investigated problem is formulated as a semi-Markov decision process (SMDP) and is tackled by converting it into a multi-variable optimization problem. We prove that the optimal updating policy is of threshold type, and derive a nearly closed-form expression for the optimal threshold. When delay statistics are available, the optimal threshold can be obtained by a bisection searching algorithm. In the absence of prior delay statistics, we develop an online learning policy. We demonstrate that the optimality gap decays at a rate of $\mathcal {O}(\log K / K)$ , where K is the number of samples. Simulation results are presented to compare the performance of various policies under different statistical conditions, showcasing the superiority of our proposed algorithm.

Published
2024
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12. Optimal sampling policy of multi‐dimensional wiener processes with random delivery time.

Author

Peng, Fuzhou, Chen, Xiang, and Gong, Jie

Subjects
*REMOTE sensing, *WIENER processes, *STOCHASTIC processes, *MEAN square algorithms, *CONSTRAINT algorithms
Abstract

A sampling problem for remote monitoring and estimation of the multi‐dimensional Wiener process through a channel with random delivery time under the constraint of maximum sampling frequency is considered. The authors study the optimal sampling policy that minimizes the mean square error. It is showed that the threshold policy is optimal and the near closed‐form expressions of the optimal threshold and the corresponding mean square error are given. A bisection method is proposed to search the numerical solutions. The results provide a general framework for remote estimation and sampling, including the special cases that the dimension of Wiener source is one and that the delivery time of the channel tends to zero. Simulation results show that even though there is no constraint on the maximum sampling frequency, age‐optimal policy, periodic sampling policy and zero‐wait policy are far from optimal. [ABSTRACT FROM AUTHOR]

Published
2022
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13. Suzhou: ideal place for tourism and investment

Author

Ai Hua, Yu Xiaobin, Chen Mang, Zhou Weiming, and Peng Fuzhou

Subjects
Suzhou, China -- Economic aspects, Business
Abstract

Suzhou is a city in China which is well suited for economic investments and the tourist business. It is located in the Jiangsu Province which is famed for its silk industry. The city is 2,500 years old and contains historic locations and scenic gardens. New city development is also planned, and important tourist sites are also being improved.

Published
1993

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