Article
Computer Science, Theory & Methods
Guangming Cui, Qiang He, Xiaoyu Xia, Feifei Chen, Yun Yang
Summary: With the global rollout of the 5G network, a large number of edge servers have been deployed to host online applications with low service latency. However, these servers consume a significant amount of energy and contribute to carbon emissions, making energy-saving strategies crucial for efficient edge resource provisions.
IEEE TRANSACTIONS ON PARALLEL AND DISTRIBUTED SYSTEMS
(2023)
Article
Telecommunications
Faran Ahmed, Muhammad Naeem, Waleed Ejaz, Muhammad Iqbal, Alagan Anpalagan, Muhammad Haneef
Summary: This paper proposes an energy usage optimization framework in a cellular heterogeneous network, which utilizes a sleep mechanism and energy cooperation to improve the energy efficiency of base stations and sell surplus energy back to the grid. By formulating an optimization problem and using an interior point method, significant energy cost savings are achieved compared to conventional approaches.
WIRELESS PERSONAL COMMUNICATIONS
(2021)
Article
Computer Science, Information Systems
Anika Tahsin, Palash Roy, Md. Abdur Razzaque, Md. Mamun-Or-Rashid, Mohammad Siraj, Salman A. AlQahtani, Md. Rafiul Hassan, Mohammad Mehedi Hassan
Summary: Energy Harvesting technology is crucial for green cellular networking by ensuring self-sustainability and eliminating environmental hazards. In a multi-operator cellular network, optimal energy cooperation among base stations (BSs) is challenging due to various factors such as cost, energy loss, future traffic load, and harvested energy. This work presents an optimal energy cooperation framework formulated as a multi-objective linear programming problem, considering the harvested energy and load of the BSs at future time slots.
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, Information Systems
Ilhan Basturk
Summary: This paper discusses the energy efficiency maximization problem in MISO-OFDMA cellular networks, proposing a two-step resource allocation algorithm to address the complexity, and demonstrates the effectiveness of the algorithm through numerical results.
COMPUTER COMMUNICATIONS
(2021)
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, Interdisciplinary Applications
Fahimeh Dabaghi-Zarandi
Summary: The paper proposes a new Local Traffic-aware Green Algorithm based on Sleep-scheduling (LTGAS) for reducing energy consumption in autonomous wired networks during low traffic periods. This dynamic solution considers online and local traffic knowledge to effectively switch off underutilized network nodes and links, achieving up to 38% energy savings with minimal impact on network performance metrics.
SIMULATION MODELLING PRACTICE AND THEORY
(2022)
Article
Green & Sustainable Science & Technology
Jung-Jae Won, Yong Ju Lee, Yu-Jin Hur, Sang Won Kim, Hae-Sung Yoon
Summary: This study aims to develop a sustainable machining strategy by modeling and assessing the energy consumption of the metal cutting process. Through real-time monitoring and control, the process achieves sustainability under various cutting conditions and manufacturing environments. The proposed adaptive feed-control schemes have shown significant improvement in energy efficiency.
INTERNATIONAL JOURNAL OF PRECISION ENGINEERING AND MANUFACTURING-GREEN TECHNOLOGY
(2023)
Article
Computer Science, Information Systems
Martin Klapez, Carlo Augusto Grazia, Maurizio Casoni
Summary: This paper discusses the importance of reducing the number of radio sites to minimize energy consumption, emissions, and operating expenses of cellular networks, and how this issue can be addressed through Multi-RAT infrastructures. Additionally, it summarizes the transition to modern radio elements, various deployment strategies, and their energy implications for the 5G New Radio standard.
Article
Computer Science, Information Systems
Rana Zeeshan Ahamad, Abdul Rehman Javed, Shakir Mehmood, Mohammad Zubair Khan, Abdulfattah Noorwali, Muhammad Rizwan
Summary: Device to Device (D2D) communication is a promising technology in 5G cellular networks, which can benefit from efficient power control to minimize interference issues and improve data rates for Cellular User Equipment (CUE).
CMC-COMPUTERS MATERIALS & CONTINUA
(2021)
Article
Energy & Fuels
Rendong Shen, Shengyuan Zhong, Xin Wen, Qingsong An, Ruifan Zheng, Yang Li, Jun Zhao
Summary: Under the backdrop of high global building energy consumption, utilizing renewable energy to meet the increasing demand of building energy systems can promote clean energy transformation and carbon neutrality. However, the complexity of BES control is increased with the introduction of renewable energy, and addressing the mismatch between supply and demand sides is challenging. The proposed multi-agent deep reinforcement learning framework optimized energy management in buildings, improving device control efficiency and renewable energy utilization in BES.
Article
Computer Science, Information Systems
Luca Chiaraviglio, Fabio D'Andreagiovanni, William Liu, Jairo A. Gutierrez, Nicola Blefari-Melazzi, Kim-Kwang Raymond Choo, Mohamed-Slim Alouini
Summary: The study demonstrates the critical role of both the throughput level provided to a set of areas and the energy exchanged with the grid by ground sites in a UAV-aided cellular network. The J-MATE model is proposed to optimize energy and throughput, and the BBSR algorithm is designed to solve large problem instances, both outperforming previous approaches in a realistic scenario. By reducing computation time and memory occupation significantly compared to J-MATE, BBSR provides an efficient solution.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2021)
Article
Computer Science, Information Systems
Ali El Amine, Hussein Al Haj Hassan, Loutfi Nuaymi
Summary: This article studies the energy and radio allocation mechanisms for cellular networks using hybrid energy sources, proposing an algorithm that reduces operator's grid energy consumption, includes battery degradation constraints, and performs close to optimal solution. The advancements in base station technology are expected to help reduce investment costs in future cellular networks.
IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT
(2021)
Article
Computer Science, Hardware & Architecture
Nan Zhao, Meizhen Jing, Zheng Yan
Summary: This article introduces the power division technique in the view of green communications, showing its potential in saving energy and optimizing energy utilization in the 5G system.
Article
Chemistry, Analytical
Carlos R. Morales, Fernando Rangel de Sousa, Valner Brusamarello, Nestor C. Fernandes
Summary: This paper compares deep learning methods in a dual prediction scheme for reducing data transmission in Wireless Sensor Networks (WSN), with the model incorporating Attention showing the best performance by saving a considerable amount of data transmission while maintaining a good representation of measured data.
Proceedings Paper
Computer Science, Theory & Methods
Po-Han Chiang, Po-Han Huang, Shi-Sheng Sun, Wanjiun Liao, Wen-Tsuen Chen
2014 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM 2014)
(2014)
Proceedings Paper
Engineering, Electrical & Electronic
Shi-Sheng Sun, Yi-Chun Chen, Wanjiun Liao
2011 IEEE INTERNATIONAL CONFERENCE ON COMMUNICATIONS (ICC)
(2011)