Article
Computer Science, Information Systems
Yi Yang, Zhixin Liu, Heng Zhu, Xinping Guan, Kit Yan Chan
Summary: This paper proposes a switch algorithm to reduce energy consumption in dense networks. By adjusting the switch status of base stations based on traffic load, the energy consumption becomes more flexible and effective.
Article
Computer Science, Hardware & Architecture
Ryoichi Shinkuma, Naoki Kishi, Kaoru Ota, Mianxiong Dong, Takehiro Sato, Eiji Oki
Summary: The study proposes a scheme utilizing software-defined networking and edge computing technologies to enhance traffic prediction accuracy by incorporating important traffic logs, even when using only logs from active base stations.
Article
Engineering, Electrical & Electronic
Zhe Wang, Jun Zheng
Summary: This paper investigates the performance of base station cooperation for downlink transmission of an unmanned aerial vehicle in a cellular-connected network. Performance models are derived and validated through Monte Carlo simulations, analyzing factors affecting coverage probability and achievable throughput of the UAV. The study provides theoretical guidance for designing a base station cooperation strategy.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Engineering, Electrical & Electronic
Hernan-Felipe Arrano-Scharager, Marceau Coupechoux, Jean-Marc Kelif
Summary: This paper investigates the impact of full-duplex communication on spectral efficiency in cellular networks and proposes a method based on successive interference cancellation to reduce interference between base stations. The results show that our solution performs well in increasing uplink data rate in both distributed and centralized radio access networks, while maintaining the advantage in the downlink rate.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2022)
Article
Engineering, Electrical & Electronic
Sifan Liu, Rang Liu, Ming Li, Yang Liu, Qian Liu
Summary: Reconfigurable intelligent surface (RIS) is a revolutionary technology for manipulating wireless environments in sixth-generation (6G) networks. Due to its frequency-selective nature, RIS can effectively shape signals only within a certain frequency band, which complicates the association between base stations (BS), RIS, and users in cellular networks. This paper aims to jointly optimize BS-RIS-user association, active beamforming at base stations, and passive beamforming of RIS to maximize the sum-rate of RIS-assisted cellular networks, taking into account the frequency-selective characteristics of RIS. Efficient algorithms based on l(0)-norm approximation, majorization-minimization (MM), and alternating direction method of multipliers (ADMM) are proposed to solve the sub-problems. Extensive simulation results demonstrate the importance of BS-RIS-user association optimization and validate the effectiveness of the proposed joint association and beamforming design algorithm in RIS-assisted cellular networks.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2023)
Article
Multidisciplinary Sciences
Nikola A. Dudukovic, Erika J. Fong, Hawi B. Gemeda, Joshua R. DeOtte, Maira R. Ceron, Bryan D. Moran, Jonathan T. Davis, Sarah E. Baker, Eric B. Duoss
Summary: Cellular fluidics offers a platform for deterministic control of multiphase flow, transport and reaction processes through unit-cell-based three-dimensional structures. By designing and manufacturing materials with structured cells, deterministic control of fluid transport in three dimensions can be achieved, potentially transforming the design space for spatial and temporal control of multiphase transport and reaction processes.
Article
Telecommunications
Zhe Wang, Jun Zheng
Summary: This letter investigates the downlink rate meta distribution of a typical UAV under base station cooperation in a cellular-connected UAV network. An analytical model is derived, which considers LoS probability and Nakagami-m fading of a downlink, to study the meta distribution of the UAV's downlink transmission rate. The impact of relevant parameters on the rate meta distribution is explored. The derived analytical model can serve as a reference for setting relevant parameters in the design of a base station cooperation strategy.
IEEE COMMUNICATIONS LETTERS
(2023)
Article
Computer Science, Information Systems
Wanying Guo, Jahwan Koo, Isma Farah Siddiqui, Nawab Muhammad Faseeh Qureshi, Dong Ryeol Shin
Summary: This article studies the issue of increased energy consumption due to the increase in base station density in 5G HetNets and proposes an optimized micro base station deployment strategy to improve energy efficiency. Simulation experiments have demonstrated the effectiveness of the proposed strategy in improving energy efficiency.
JOURNAL OF KING SAUD UNIVERSITY-COMPUTER AND INFORMATION SCIENCES
(2022)
Article
Engineering, Chemical
Whei-Min Lin, Wen-Chang Tsai
Summary: The objective of this study is to analyze feeder loss minimization and load balance under given constrains. A fuzzy indexing algorithm for feeder switching is proposed in this paper, with membership functions defined for switches. With the developed method, numerical operations for indices are used instead of traditional fuzzy algorithms, greatly reducing computation time and enhancing efficiency. The proposed algorithm is effective in balancing the load and reducing loss and costs.
Article
Telecommunications
Yanzhi Hu, Chunyuan Tian, Fengbin Zhang, Dawei Ma, Zhiyong Shi
Summary: UAV-assisted base stations (UAV-BSs) are an alternative solution for emergency communication and disaster scenarios. This paper proposes a new dynamic cellular network framework for UAV-BS networks with frequency reuse, which maximizes the coverage radius and minimizes the number of required UAV-BSs. The solution forms a connected backbone network among UAV-BSs and adapts to the dynamic changes of ground users.
WIRELESS PERSONAL COMMUNICATIONS
(2023)
Article
Computer Science, Information Systems
Marceau Coupechoux, Jerome Darbon, Jean-Marc Kelif, Marc Sigelle
Summary: In this article, we investigate the optimization of trajectory for an Unmanned Aerial Vehicle (UAV). By considering a traffic intensity map, the UAV is required to travel from the initial to the target position within a given time frame while serving the traffic. The problem is formulated using Lagrangian mechanics and closed-form solutions are derived for quadratic traffic intensity using Hamilton-Jacobi equations. Necessary conditions of optimality are provided for bi-phase traffic intensity and two low complexity algorithms are proposed. Lastly, a modified K-means algorithm is used to process real traffic data and derive a bi-phase model and optimal trajectory simulation.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2023)
Article
Computer Science, Information Systems
Pan Cao
Summary: With the increasing use of unmanned aerial vehicles, there is a growing threat of using UAVs for infrastructure/cyber-attacks and data-eavesdropping. This research explores the concept of using cellular base stations for imaging to detect UAVs, allowing them to function like inverse synthetic-aperture radars (ISAR) in addition to communication. The feasibility of this joint imaging and communication (JIAC) approach is studied and analyzed, showing promising results for UAV detection with minimal impact on current communication operations.
Article
Computer Science, Information Systems
Yu-Jia Chen, Da-Yu Huang
Summary: This article addresses the problem of trajectory design and base station association for cellular-connected unmanned aerial vehicles (UAVs). A deep learning framework is proposed to jointly consider the UAV-GBS association strategy and trajectory design. Simulation results demonstrate the superiority of the proposed deep reinforcement learning approach in terms of trajectory length, as well as the failure of the nearest association scheme in providing reliable cellular connections.
IEEE INTERNET OF THINGS JOURNAL
(2022)
Article
Thermodynamics
Zengkai Cui, Chenyue Guo, Dongliang Zhao
Summary: This study explores the potential application of passive radiative sky cooling technology in telecommunication base stations and proposes an optimized envelope design for energy saving. The energy-saving and economic analysis shows significant potential for energy efficiency and cost reduction.
BUILDING SIMULATION
(2022)
Article
Computer Science, Information Systems
Gunes Karabulut Kurt, Mohammad G. Khoshkholgh, Safwan Alfattani, Ahmed Ibrahim, Tasneem S. J. Darwish, Md Sahabul Alam, Halim Yanikomeroglu, Abbas Yongacoglu
Summary: HAPS, operating in the stratosphere, is essential for providing communication services in next-generation wireless networks. The article provides a vision and framework for future HAPS networks, emphasizing their unrealized potential and unique ability to serve metropolitan areas. It also discusses the latest advancements and promising technologies in HAPS systems, as well as the integration of emerging technologies for cost-effective deployment.
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS
(2021)
Article
Computer Science, Information Systems
Nuo Yu, Zhaohui Song, Hongwei Du, Hejiao Huang, Xiaohua Jia
IEEE TRANSACTIONS ON CLOUD COMPUTING
(2019)
Proceedings Paper
Engineering, Electrical & Electronic
Nuo Yu, Qingyuan Xie, Qiuyun Wang, Hongwei Du, Hejiao Huang, Xiaohua Jia
2018 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM)
(2018)
Proceedings Paper
Computer Science, Hardware & Architecture
Qingyuan Xie, Qiuyun Wang, Nuo Yu, Hejiao Huang, Xiaohua Jia
2018 IEEE 15TH INTERNATIONAL CONFERENCE ON MOBILE AD HOC AND SENSOR SYSTEMS (MASS)
(2018)
Article
Telecommunications
Nuo Yu, Zhiyi Wang, Hejiao Huang, Xiaohua Jia
IEEE TRANSACTIONS ON GREEN COMMUNICATIONS AND NETWORKING
(2018)
Proceedings Paper
Telecommunications
Nuo Yu, Zhaohui Song, Hongwei Du, Hejiao Huang, Xiaohua Jia
2017 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC)
(2017)
Proceedings Paper
Computer Science, Information Systems
Yuting Miao, Nuo Yu, Hejiao Huang, Hongwei Du, Xiaohua Jia
2016 FOURTH INTERNATIONAL CONFERENCE ON ADVANCED CLOUD AND BIG DATA (CBD 2016)
(2016)
Proceedings Paper
Computer Science, Theory & Methods
Nuo Yu, Lan Mu, Yuting Miao, Hejiao Huang, Hongwei Du, Xiaohua Jia
2015 IEEE 34TH INTERNATIONAL PERFORMANCE COMPUTING AND COMMUNICATIONS CONFERENCE (IPCCC)
(2015)