Article
Computer Science, Hardware & Architecture
Thi Thuy Nga Nguyen, Olivier Brun, Balakrishna J. Prabhu
Summary: In this study, the authors investigate the potential improvement of channel allocation in cellular networks by utilizing predictions on future data rates. They propose an algorithm to predict future throughputs based on Signal-to-Noise Ratio (SNR) maps and use this knowledge to improve online channel allocation. Simulation results show that exploiting knowledge of future radio conditions can significantly enhance channel allocation.
Article
Chemistry, Analytical
Kanghyun Heo, Kisong Lee
Summary: This study investigates the proportional fair trajectory design and resource allocation for a UAV-assisted SWIPT system. The proposed scheme achieves higher average spectral efficiency and ensures user fairness through simulations.
Article
Computer Science, Information Systems
Zhiwei Zhao, Weifeng Gao, Wan Du, Geyong Min, Wenliang Mao, Mukesh Singhal
Summary: LoRa has become a promising networking technology for IoT applications. However, the low data rate used by distant end devices to reach a LoRa gateway results in long transmission time and high energy consumption. This paper proposes EF-LoRa, a networking solution that achieves energy fairness among end devices by allocating network resources carefully. Extensive simulation results demonstrate that EF-LoRa improves energy fairness by 177.8% compared to existing solutions.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2023)
Article
Engineering, Electrical & Electronic
Wenqi Shi, Sheng Zhou, Zhisheng Niu, Miao Jiang, Lu Geng
Summary: In this paper, a joint device scheduling and resource allocation policy is proposed to maximize model accuracy within a given total training time budget for latency constrained wireless FL. The accuracy maximization problem is decomposed into two sub-problems and solved accordingly. Experimental results demonstrate the superiority of the proposed policy under various settings.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2021)
Article
Computer Science, Information Systems
Shanjiang Tang, Ce Yu, Yusen Li
Summary: Fairness and efficiency are critical metrics for users in modern data center computing systems. To balance these two factors, we propose a new fairness-efficiency scheduler called QKnober, which uses a tunable fairness knob to achieve flexible balance. QKnober maximizes system efficiency and guarantees fairness properties such as sharing incentive.
IEEE TRANSACTIONS ON CLOUD COMPUTING
(2022)
Article
Engineering, Electrical & Electronic
Wanli Wen, Zihan Chen, Howard H. Yang, Wenchao Xia, Tony Q. S. Quek
Summary: This paper proposes a training algorithm for hierarchical federated edge learning (H-FEEL) system, which achieves helper scheduling and communication resource allocation through phases like local gradient computing, weighted gradient uploading, and model updating. By mathematical modeling and analyzing convergence bounds, the optimization problem considering wireless channel uncertainty and weighted gradient importance is solved. The effectiveness of the scheme is demonstrated through simulations.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2022)
Article
Telecommunications
Mingxiong Zhao, Wentao Li, Lingyan Bao, Jia Luo, Zhenli He, Di Liu
Summary: This paper focuses on the energy efficiency of drones in mobile edge computing, aiming to minimize drone energy consumption by optimizing trajectory, resource allocation, task decision, and user bit scheduling. Proposed iterative algorithm and penalty method-based algorithm to tackle the problem, comparing energy consumption with different resource allocations.
IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING
(2021)
Article
Computer Science, Information Systems
Xuejie Zhang, Jie Li, Guibing Li, Weidong Li
Summary: Fair and efficient allocation of multiple types of resources is a fundamental goal in cloud computing systems. However, ensuring fairness while maximizing efficiency is challenging due to the heterogeneous resource requirements of user tasks. To address this, the paper proposes a new fair allocation mechanism called generalized asset fairness (GAF) that maximizes system resource utilization and ensures fairness. Experimental results show that GAF achieves higher resource utilization compared to previous fair mechanisms and performs well in resource sharing.
CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS
(2022)
Article
Mathematics
Alaa Omran Almagrabi, Rashid Ali, Yasser Difulah Al-Otaibi, Hadi Mohsen Oqaibi, Tahir Khurshaid
Summary: This paper introduces a sliding group window mechanism based on collision-point assessment to improve the performance of MAC protocol for HEW. The proposed ReBOCA mechanism enhances network throughput by 38.18% compared to the conventional BEB mechanism.
Article
Chemistry, Analytical
Dimitrios Zorbas, Christelle Caillouet, Khaled Abdelfadeel Hassan, Dirk Pesch
Summary: This paper discusses the issue of data transmission in LoRa IoT technology when gateways are not always available, proposing a time-slotted transmission scheduling mechanism to improve data collection efficiency. Simulation experiments show that the mechanism can significantly reduce data collection time, achieving at least 10 times faster collection for networks with 100 or more nodes.
Article
Engineering, Multidisciplinary
Marta Fernandez, David Guerra
Summary: This paper presents a methodology to determine the threshold distance at which the field strength levels from WiFi access points are negligible compared to the radiation generated by user equipment. The theoretical concepts were implemented through simulations and experimental measurements using actual WiFi antennas. Results showed that the threshold distance depends on the WiFi standard employed by the connected devices.
ENGINEERING SCIENCE AND TECHNOLOGY-AN INTERNATIONAL JOURNAL-JESTECH
(2022)
Article
Engineering, Electrical & Electronic
Tianchen Wang, Raviraj Adve
Summary: This paper investigates the use of multi-user multiple-input, multiple-output (MIMO) techniques to enable licensed spectrum sharing in multi-cell multi-user MIMO networks. It presents a fair spectrum sharing system between two mobile network operators (MNOs) and proposes an algorithm to solve the non-convex optimization problem. The results show that the proposed scheme can improve user rate and prevent MNO exploitation, especially for cell-center users.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2022)
Article
Telecommunications
Golshan Famitafreshi, Cristina Cano
Summary: This paper presents an algorithm that learns the optimal slot transmission probability by monitoring network throughput to improve wireless network performance. The algorithm's sensitivity to different parameters highlights the importance of setting parameters for fast convergence.
ANNALS OF TELECOMMUNICATIONS
(2022)
Article
Computer Science, Hardware & Architecture
Xiaodong Dong, Binlei Cai
Summary: This paper proposes a decentralized traffic scheduling mechanism called Balanar, which achieves flexible trade-offs between fairness and utility of guaranteeing transfers' deadlines.
Article
Computer Science, Information Systems
Nicolas Guerin, Malo Manini, Rodolphe Legouable, Cedric Gueguen
Summary: With the increase in throughput demands, network densification has become a crucial strategy to enhance Quality of Experience (QoE). The Multi-Cell Pre-Scheduler (MCPS) allocates user traffic between different access points, improving system performance by delaying congestion and enhancing robustness to unexpected traffic peaks.
Article
Computer Science, Information Systems
Taotao Wang, Xiaoqian Bai, Hao Wang, Soung Chang Liew, Shengli Zhang
Summary: The study reveals that the Bitcoin-NG blockchain protocol may be vulnerable to advanced mining attacks, as attackers can maximize their expected rewards by optimizing mining duration lengths, leading to a decrease in transaction processing capability.
IEEE SYSTEMS JOURNAL
(2021)
Article
Engineering, Electrical & Electronic
Yulin Shao, Qi Cao, Soung Chang Liew, He Chen
Summary: This paper investigates the minimum-age scheduling problem in wireless sensor networks and proposes a greedy policy to minimize the expected age-of-information. By introducing a relaxed greedy policy and formulating the sampling process of each arm as a partially observable Markov decision process, the paper validates that the relaxed greedy policy is an effective approximation to the greedy policy in terms of expected age-of-information.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2022)
Article
Computer Science, Information Systems
Jiaxin Liang, He Chen, Soung Chang Liew
Summary: This article investigates the suitability of SDR-based wireless systems for industrial IoT applications. Through a quantitative investigation of synchronization accuracy and end-to-end latency, the experiments show that SDR can be applied to IIoT applications that require tight synchrony and moderately low latency to a certain extent.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Computer Science, Hardware & Architecture
Lihao Zhang, Taotao Wang, Soung Chang Liew
Summary: This paper designs and validates new block propagation protocols for the Bitcoin blockchain's P2P network, aiming to increase TPS without changing the consensus protocol. The improvements in compact-block relaying and the use of rateless erasure codes show that TPS can be increased by 100x without compromising security and consensus-building.
Article
Engineering, Electrical & Electronic
Yulin Shao, Deniz Gunduz, Soung Chang Liew
Summary: This paper investigates the problem of misaligned over-the-air computation for federated edge learning and proposes a whitened matched filtering and sampling scheme to obtain oversampled, independent samples from misaligned signals, with two main estimators designed to estimate the arithmetic sum of transmitted symbols. Simulation results show different impacts on test accuracy between the aligned-sample estimator and the ML estimator under various EsN0 scenarios.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2022)
Article
Computer Science, Information Systems
Gongpu Chen, Soung Chang Liew, Yulin Shao
Summary: This paper proposes using the uncertainty of information, measured by Shannon's entropy, as a metric for information freshness. The system considered in the paper involves a central monitor observing multiple binary Markov processes through multiple communication channels.
IEEE TRANSACTIONS ON INFORMATION THEORY
(2022)
Article
Computer Science, Information Systems
Yiding Yu, Soung Chang Liew, Taotao Wang
Summary: This paper investigates a distributed deep reinforcement learning (DRL) based MAC protocol design for heterogeneous wireless networks with imperfect channels. The proposed feedback recovery mechanism and two-stage action selection mechanism effectively tackle the challenges of noisy channels and coherent decision making among multiple agents.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2022)
Article
Computer Science, Information Systems
Shakeel Salamat Ullah, Soung Chang Liew, Gianluigi Liva, Taotao Wang
Summary: This paper presents the implementation and experimental evaluation of a short-packet physical-layer network coding (PNC) system. Implementation of short-packet PNC systems is challenging due to the limited number of pilot symbols and stringent delay requirements. The paper proposes a low-complexity and low-overhead design to address these issues and applies it successfully in short-packet communications.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2023)
Article
Engineering, Electrical & Electronic
Yulin Shao, Deniz Gunduz, Soung Chang Liew
Summary: Over-the-air computation (OAC) is an important component of future wireless networks, enabling efficient function computation in multiple-access edge computing. Traditional OAC using maximum likelihood (ML) estimation is susceptible to noise and error propagation. To address this, a Bayesian approach is proposed in this paper, where each edge device transmits statistical information to the fusion center for misalignment handling. Numerical and simulation results show the superior performance of the proposed Bayesian estimators in different scenarios.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
(2023)
Article
Computer Science, Information Systems
Lihao Zhang, Soung Chang Liew
Summary: This article introduces a multistream networking paradigm called soft-source-information-combining (SSIC) for wireless IoT applications with high reliability requirements. The SSIC networking involves the dispatching of packet duplicates over multiple streams established on different wireless networks to enhance reliability. The challenges addressed in this article include descrambling the soft information from different streams and developing an SSIC framework compatible with current TCP/IP networks. The experiments conducted on a Wi-Fi testbed demonstrate the effectiveness of SSIC in decreasing packet delivery failure rate and achieving 99.99% reliable packet delivery for short-range communication.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Computer Science, Information Systems
Lihao Zhang, Soung Chang Liew, He Chen
Summary: This article introduces a networking paradigm called just-in-time (JIT) communication, which supports client-server applications with strict request-response latency requirements. The JIT framework has two main features: pulling requests from clients just before transmission opportunities and ensuring the server has a transmission opportunity right after processing a request. The study demonstrates that a TDMA network with a power-of-2 time slots per superframe is optimal for implementing JIT functions on the server side. Experimental results confirm that JIT networks can significantly reduce request-response latency compared to networks without JIT support.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Gongpu Chen, Lihao Zhang, Soung-Chang Liew
Summary: This paper investigates the stochastic properties of stressed periods in IoT systems using random access protocols for wireless communication. A fluid flow model is used to approximate the evolution of buffer occupancy at the transmitting node, and a relationship between buffer occupancy and delay is derived. Stressed periods are formally defined as time intervals where the buffer occupancy exceeds a certain threshold, and the probability distributions of stressed period duration and delay are obtained. Real network experiments validate the accuracy of the proposed model and its applicability in analyzing the worst-case performance of IoT systems.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2023)
Article
Nursing
Li He, Lin Chen, Haotian Zheng, Yingjun Zhang, Sikai Tang, Hui Chen
Summary: This study investigated the current status of COVID-19 vaccination in maintenance hemodialysis patients in Sichuan Province, China from January to March 2022 and its influencing factors. The study found that only 37.44% of hemodialysis patients had been vaccinated with the COVID-19 vaccine. Marital status, living environment, whether family/relatives/friends were medical workers, and the score of the COVID-19 vaccine knowledge and practice questionnaire were identified as factors influencing vaccination status.
JAPAN JOURNAL OF NURSING SCIENCE
(2023)
Article
Engineering, Electrical & Electronic
Yulin Shao, Soung Chang Liew, Deniz Gunduz
Summary: This article investigates a fundamental problem of NoisyNNs, which is how to reconstruct the DNN weights from noise. A denoising approach is proposed to maximize the inference accuracy of the reconstructed models. Experimental results demonstrate that our denoiser outperforms the maximum likelihood estimation in small-scale problems and shows significantly better performance when applied to advanced learning tasks with modern DNN architectures.
IEEE TRANSACTIONS ON SIGNAL PROCESSING
(2023)
Proceedings Paper
Computer Science, Cybernetics
Lihao Zhang, Taotao Wang, Soung Chang Liew
Summary: The research team developed and validated a new block propagation protocol to increase the transaction processing speed of the Bitcoin blockchain. By improving the compact-block relaying protocol, they were able to increase Bitcoin blockchain's TPS by 100 times without compromising security and consensus-building.
IEEE CONGRESS ON CYBERMATICS / 2021 IEEE INTERNATIONAL CONFERENCES ON INTERNET OF THINGS (ITHINGS) / IEEE GREEN COMPUTING AND COMMUNICATIONS (GREENCOM) / IEEE CYBER, PHYSICAL AND SOCIAL COMPUTING (CPSCOM) / IEEE SMART DATA (SMARTDATA)
(2021)
