Article
Computer Science, Information Systems
Nima Nouri, Fahimeh Fazel, Jamshid Abouei, Konstantinos N. Plataniotis
Summary: This paper investigates a UAV-enabled network with smart mobile devices and multiple UAVs as aerial base stations in a MIMO architecture. It aims to maximize the number of served terrestrial users and their scheduling, and optimize the number and placement of UAV servers. The paper proposes an efficient algorithm based on machine learning to solve the optimization problem, achieving low computational complexity and fast convergence. The performance of the algorithm is evaluated through simulation results, confirming its superior performance.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2023)
Article
Computer Science, Information Systems
Feixiang Li, Haipeng Yao, Jun Du, Chunxiao Jiang, Zhu Han, Yunjie Liu
Summary: This article focuses on the spectrum sharing and edge computation offloading problems in SDN-based ultra dense networks. A second-price auction scheme is proposed to ensure fair bidding for spectrum rent, enabling different edge clouds to cooperatively and competitively occupy channels.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2022)
Article
Engineering, Electrical & Electronic
Changfeng Ding, Jun-Bo Wang, Ming Cheng, Min Lin, Julian Cheng
Summary: In order to meet the computing demands for next generation networks, a dense satellite-terrestrial integrated mobile-edge computing network (SATIMECN) architecture is developed. The optimization problem is transformed into a deterministic one using Lyapunov optimization theory. The problem is decomposed into four subproblems and each one is solved iteratively.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2023)
Article
Computer Science, Information Systems
Zhuofan Liao, Jingsheng Peng, Bing Xiong, Jiawei Huang
Summary: This paper presents a multi-user-to-multi-servers (MUMS) edge computing problem in an ultra-dense cellular network, addressing offloading decisions through the phases of server selection and offloading decision. A distributed offloading strategy based on a genetic algorithm is designed for fast and near-optimal solutions, significantly reducing mobile device latency and energy consumption. Extensive simulations show that this strategy outperforms existing offloading research, reducing average delay by 56% and total energy consumption by 14% in ultra-dense cellular networks.
JOURNAL OF CLOUD COMPUTING-ADVANCES SYSTEMS AND APPLICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Haibin Zhang, Rong Wang, Wen Sun, Huanlei Zhao
Summary: This study proposes a secure mobility management framework for blockchain-based ultra-dense edge computing, optimizing wireless handover and service migration decisions to reduce computing task delay, failure rate, and handover rate.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2021)
Article
Engineering, Multidisciplinary
Shuming Seng, Changqing Luo, Xi Li, Heli Zhang, Hong Ji
Summary: In order to address the issues with existing centralized schemes, this study proposes a decentralized coordination scheme utilizing blockchain technology to orchestrate MUs and EgSvrs for scheduling computation tasks to appropriate VMs. By developing an efficient task-VM matching algorithm that considers both task execution time and energy consumption, the stability of the achieved task-VM matching is proven. Furthermore, the task-VM matching algorithm is implemented on the blockchain without the need for trusted third parties, improving performance significantly and quickly reaching a stable state according to extensive simulation results.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2021)
Book Review
Computer Science, Hardware & Architecture
Bo Rong, Ying Chen, Ning Zhang, Yuan Wu, Sherman Shen
Summary: This book provides a comprehensive discussion on energy efficient computation offloading and resource management in mobile edge computing (MEC), offering valuable insights for practical applications of MEC and inspiring new ideas for future MEC-enabled IoT networks.
IEEE WIRELESS COMMUNICATIONS
(2023)
Article
Computer Science, Information Systems
Xiaobo Zhou, Shuxin Ge, Tie Qiu, Keqiu Li, Mohammed Atiquzzaman
Summary: Mobile edge computing is crucial for achieving ultra-low latency in 5G and beyond, by deploying services at the network edge. However, service migration in multi-user heterogeneous networks is challenging due to the difficulty in predicting user trajectories and interference among users. In this study, an optimization problem was formulated to minimize energy consumption and satisfy service latency requirements, and an efficient online algorithm called EGO was developed to solve the problem without predicting user trajectories.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2023)
Article
Computer Science, Artificial Intelligence
Wenting Zou, Li Li, Zichen Xu, Dan Wu, ChengZhong Xu, Yuhao Wang, Haoyang Zhu, Xiao Sun
Summary: This paper proposes SmartDL, an energy-aware decremental learning framework that balances energy efficiency and data privacy. The evaluation results show that compared to the original federated learning, SmartDL can reduce energy consumption by 75.6-82.4% in different datasets and achieve a significant speedup in model convergence.
NEURAL COMPUTING & APPLICATIONS
(2023)
Article
Computer Science, Information Systems
Usama Mir, Ubaid Abbasi, Talha Mir, Summrina Kanwal, Sultan Alamri
Summary: Energy is crucial for economic development, requiring reliable sources to improve living standards. The Smart Grid assists in efficiently managing electricity generation and distribution, while smart building energy-saving technologies like statistical models, cloud computing, and smart metering aim to enhance resource efficiency.
Article
Computer Science, Information Systems
Meysam Masoudi, Cicek Cavdar
Summary: This research investigates the power minimization problem for mobile devices by data offloading in multi-cell multi-user OFDMA mobile edge computing networks. By utilizing proposed algorithms, considerable power savings can be achieved, such as about 60% for large bit stream size compared to local computing baseline.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2021)
Article
Green & Sustainable Science & Technology
Sunil Kumar Sharma, Swati Mohapatra, Rakesh Chandmal Sharma, Sinem Alturjman, Chadi Altrjman, Leonardo Mostarda, Thompson Stephan
Summary: This study evaluates different retrofit strategies using a calibrated simulation approach and finds that the Major intervention strategy results in the greatest reduction in energy consumption.
Article
Engineering, Electrical & Electronic
Leonardo Lanante, Sumit Roy
Summary: Research on channel bonding in IEEE 802.11 wireless LANs has led to the proposal of a new algorithm that enhances the effectiveness of channel bonding in dense network environments, with the predicted performance gains verified through comprehensive simulations.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2021)
Article
Computer Science, Information Systems
Zhengguang Zhang, Hanif Rahbari, Marwan Krunz
Summary: As Wi-Fi technology evolves into its sixth generation (Wi-Fi 6), there is a consensus on the need for security and coordination functions at the Physical (PHY) layer. We propose a scheme called extensible preamble modulation (eP-Mod) that allows embedding user bits into the 802.11ac preamble of MIMO and OFDM-based protocols. The scheme provides adaptive channel conditions and enables various PHY-layer services, while remaining compatible with legacy devices.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2023)
Article
Computer Science, Theory & Methods
Xiaojie Wang, Jiameng Li, Zhaolong Ning, Qingyang Song, Lei Guo, Song Guo, Mohammad S. Obaidat
Summary: Wireless Powered Mobile Edge Computing (WPMEC) combines Mobile Edge Computing (MEC) and Wireless Power Transfer (WPT) technologies to enhance computing capabilities of mobile devices and compensate for their limited battery life. The joint design of computation offloading and resource allocation in WPMEC systems is challenging due to varying network environments, battery levels, and the half-duplex nature of mobile devices. This article presents the basic model of WPMEC systems, key issues and techniques, solutions for computation offloading and resource allocation, along with research challenges and open issues.
ACM COMPUTING SURVEYS
(2023)