Article
Computer Science, Information Systems
Abu Jahid, Mohammed H. Alsharif, Peerapong Uthansakul, Jamel Nebhen, Ayman A. Aly
Summary: This paper proposes a dynamic point selection coordinated multipoint (DPS CoMP) based load balancing paradigm to enhance throughput and energy efficiency in communication networks. By utilizing green energy harvesting for powering C-RAN, it reduces the reliance on utility grid, carbon footprint, and operational expenses. Extensive simulations show that the proposed framework not only improves system performance, but also saves significant energy consumption and increases energy efficiency.
Article
Computer Science, Information Systems
Mohammed H. Alsharif, Kannadasan Raju, Abu Jahid, Mahmoud A. Albreem, Peerapong Uthansakul, Jamel Nebhen, Venkatesan Chandrasekaran
Summary: Green wireless networks or energy-efficient wireless networks have become a popular research topic due to concerns about the environment and expenses among cellular operators. Utilizing renewable energy technologies to meet the specific power supply requirements of cellular base stations can lead to significant cost savings and decrease in greenhouse gas emissions. The proposed solar-powered base stations in Oman show potential for considerable savings and offer economic, technical, and ecological benefits to cellular operators.
CMC-COMPUTERS MATERIALS & CONTINUA
(2021)
Article
Computer Science, Information Systems
Guanglun Huang, Baoxian Zhang, Zheng Yao, Cheng Li
Summary: The explosive growth of mobile video traffic in recent years has led to significant energy expenditure for mobile network operators. To reduce this expenditure, researchers propose leveraging renewable energy sources for cellular traffic delivery in green cellular networks. By formulating a stochastic optimization problem, they aim to maximize network service utility by considering factors such as grid electricity price, energy harvesting, and rate adaptation. Through extensive simulations, the proposed algorithm proves to be efficient in optimizing video quality and energy expenditure.
IEEE INTERNET OF THINGS JOURNAL
(2021)
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
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
Green & Sustainable Science & Technology
B. T. Geetha, P. Santhosh Kumar, B. Sathya Bama, S. Neelakandan, Chiranjit Dutta, D. Vijendra Babu
Summary: Green energy management is crucial for efficient energy consumption, and the importance of edge intelligence in controllable IoT networks has been overlooked in the available literature. Green energy aware IoT networks are suitable for various real-time applications, but the energy-constrained nature of IoT nodes requires energy-efficient solutions. This research proposes a novel GEQCC-FLP technique, which involves cluster communication and load prediction, to effectively regulate renewable energy usage in IoT networks. The simulation results demonstrate that the GEQCC-FLP methodology outperforms previous methods in terms of RMSE and MAPE.
SUSTAINABLE ENERGY TECHNOLOGIES AND ASSESSMENTS
(2022)
Article
Computer Science, Information Systems
Afaq A. Lone, Abhishek K. Gupta, Harpreet S. Dhillon, Somya Sharma
Summary: This letter studies the performance of a MIMO cellular network with location-aware transmission rank selection. By selecting the transmission rank for each link based on distance, the spectral efficiency is improved, and a tradeoff between coverage probability and spectral efficiency is investigated.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2022)
Article
Computer Science, Hardware & Architecture
Abdelwahed Motwakel, Aisha Hassan Abdalla Hashim, Hanan Abdullah Mengash, Nuha Alruwais, Ayman Yafoz, Raed Alsini, Alaa Edris
Summary: The massive communication abilities of 6G wireless systems that contribute to global environmental sustainability and support various services are highly important. This study introduces a new Green Anaconda Optimization Based Energy Aware Clustering Protocol (GAOB-EACP) approach for wireless sensor networks. The GAOB-EACP technique improves load balancing among network nodes, extends network lifetime, and reduces energy consumption.
MOBILE NETWORKS & APPLICATIONS
(2023)
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
Engineering, Electrical & Electronic
Long Jiao, Pu Wang, Amir Alipour-Fanid, Huacheng Zeng, Kai Zeng
Summary: In this paper, a handover scheme using deep reinforcement learning and reconfigurable intelligent surface (RIS) is proposed to mitigate the switching problem and improve the spectrum efficiency in 5G mobile networks.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2022)
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
Geosciences, Multidisciplinary
Asif Kabir, Syed Mushhad Gilani, Gohar Rehmanc, S. H. Sabahat, Jozsef Popp, Muhammad Arshad Shehzad Hassan, Judit Olah
Summary: The article discusses how to improve network efficiency, reduce energy consumption, and ensure user service quality in 5G cellular networks by developing efficient content caching and distribution techniques. By leveraging renewable energy and edge collaborative caching, green energy utilization and cache mechanism optimization can be achieved.
ACTA MONTANISTICA SLOVACA
(2021)
Review
Chemistry, Analytical
J. Carlos Lopez-Ardao, Raul F. Rodriguez-Rubio, Andres Suarez-Gonzalez, Miguel Rodriguez-Perez, M. Estrella Sousa-Vieira
Summary: The article surveys the issue of energy balancing in Wireless Sensor Networks, focusing on three key areas: energy conservation techniques, energy-harvesting techniques, and energy transfer techniques. The main contributions in these areas and trending topics in recent research are identified. Discussion on future directions is also included.
Article
Computer Science, Information Systems
Fereshteh Atri Niasar, Amir Reza Momen, Seyed Abolfazl Hosseini
Summary: Heterogeneous cellular networks are a viable solution to address the increasing demand for broadband services in new-generation wireless networks. This paper proposes a dynamic optimization model to maximize the total uplink/downlink energy efficiency in addition to providing the necessary coverage and capacity of heterogeneous cellular networks. Simulation results show significant throughput increase and improved network energy efficiency using the proposed approach.
Article
Engineering, Electrical & Electronic
Akanksha Srivastava, Gurjit Kaur
Summary: In this work, a cooperation-based energy-aware reward scheme (CEAR) is proposed for next-generation green cognitive radio networks. The CEAR scheme utilizes cognitive users (CUs) as cooperative relay nodes to provide service to primary users (PUs) and rewards CUs with more spectrum access opportunities. Simulation results show significant enhancements in energy efficiency (EE) of CUs compared to other cooperative schemes.
PHYSICAL COMMUNICATION
(2023)
Article
Engineering, Electrical & Electronic
Yitao Han, Liang Liu, Lingjie Duan, Rui Zhang
Summary: In the existing cellular networks, communication and control of an unmanned aerial vehicle (UAV) swarm with high reliability and low latency is challenging. This paper proposes a novel two-phase transmission protocol using cellular and device-to-device (D2D) communication for the UAV swarm, aiming to combat the interference from ground base stations and improve communication efficiency. The protocol involves ground-to-air channel estimation, common control message transmission, and relay through D2D communication among UAVs, achieving better reliability performance compared to other benchmark protocols.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Yueling Che, Yabin Lai, Sheng Luo, Kaishun Wu, Lingjie Duan
Summary: This paper focuses on cognitive radio-based wireless information and energy transmissions from an unmanned aerial vehicle to multiple low-power ground terminals. A dynamic fly-hover-transmit scheme is proposed to maximize system throughput.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Xiongfei Zhai, Xihan Chen, Jie Xu, Derrick Wing Kwan Ng
Summary: The paper introduces a method to enhance the computation accuracy of AirComp using massive MIMO and hybrid beamforming techniques, effectively addressing the issue of degraded accuracy due to poor channel conditions of devices, and provides two efficient algorithms to handle the challenging problems.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2021)
Article
Computer Science, Information Systems
Xuehe Wang, Lingjie Duan
Summary: This study investigates the optimization problems faced by UAVs in providing mobile services, including pricing and energy allocation considerations. The research found that UAVs should adopt different strategies in varying situations to maximize profit.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2021)
Article
Engineering, Electrical & Electronic
Ningning Ding, Zhixuan Fang, Lingjie Duan, Jianwei Huang
Summary: The study showed that coded machine learning with redundant computation can effectively improve performance, and proposed a one-dimensional metric to guide worker selection and allocation. In the presence of multi-dimensional incomplete information, designing proper incentives to encourage worker participation is crucial for platform optimization.
IEEE JOURNAL ON SELECTED AREAS IN COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Jia Yan, Suzhi Bi, Lingjie Duan, Ying-Jun Angela Zhang
Summary: A proposed MEC service pricing scheme coordinates service caching decisions and controls WDs' task offloading behavior in a cellular network. The study utilizes a two-stage dynamic game of incomplete information to analyze the interaction between the BS and multiple associated WDs, focusing on maximizing expected profit under constraints. The research derives an optimal threshold-based offloading policy at the Bayesian equilibrium and jointly optimizes BS' pricing and service caching through a low-complexity algorithm.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Yitao Han, Shuowen Zhang, Lingjie Duan, Rui Zhang
Summary: This paper investigates a cooperative double-IRS aided MIMO communication system under the LoS propagation channels. By jointly optimizing the transmit covariance matrix and the passive beamforming matrices of the two cooperative IRSs, the capacity maximization problem is studied. A low-complexity algorithm is developed by exploiting the tractable characterization of the LoS channels. The capacity scaling analysis shows that the double-IRS system outperforms the conventional single-IRS system thanks to the cooperative power gain and the spatial multiplexing gain.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2022)
Article
Physics, Multidisciplinary
Lingjie Duan, Yongchang Liu
Summary: A comparative study was conducted on the multilayered coordination numbers between FCC and HCP, revealing that the sequences of coordination numbers for both structures are unbounded, with specific subsequences for FCC and HCP.
Article
Automation & Control Systems
Bingyun Li, Qinmin Yang, Lingjie Duan, Youxian Sun
Summary: This article proposes a novel operator-enabled energy storage system (ESS) sharing scheme where the operator and users form a Stackelberg game. The operator maximizes its profit through optimal ESS sizing, scheduling, and pricing, while users benefit from electricity bill savings. The feasibility and economic performance of the scheme are analyzed using a bilevel joint optimization problem, transforming it into a single-level mathematical program with equilibrium constraints (MPEC) and linear programming (MILP) problem.
IEEE TRANSACTIONS ON CYBERNETICS
(2023)
Proceedings Paper
Computer Science, Information Systems
Shuqin Gao, Costas Courcoubetis, Lingjie Duan
Summary: This paper proposes an easy-to-implement greedy matching algorithm for device-to-device resource sharing, which has been rigorously analyzed through extensive simulations and average-case analysis to demonstrate its effectiveness in practical applications.
2021 19TH INTERNATIONAL SYMPOSIUM ON MODELING AND OPTIMIZATION IN MOBILE, AD HOC, AND WIRELESS NETWORKS (WIOPT)
(2021)
Proceedings Paper
Computer Science, Information Systems
Qinqi Lin, Lingjie Duan, Jianwei Huang
Summary: User profiling allows sellers to identify users' willingness to pay and enable personalized pricing, but analyzing the Perfect Bayesian Equilibrium in this game is challenging due to the randomness in user profiling and the coupling among users' activity levels and seller's pricing decisions. Despite the difficulty, the study demonstrates that users' activity levels do not monotonically decrease as the profiling technology improves, as sellers strategically choose high uniform prices to stimulate increased social activities and profile more users.
2021 19TH INTERNATIONAL SYMPOSIUM ON MODELING AND OPTIMIZATION IN MOBILE, AD HOC, AND WIRELESS NETWORKS (WIOPT)
(2021)
Proceedings Paper
Computer Science, Interdisciplinary Applications
Songhua Li, Minming Li, Lingjie Duan, Victor C. S. Lee
Summary: The paper discusses how a single UAV can save flying distance by utilizing public trucks to minimize travel time. The authors propose theoretical algorithms for offline and online scenarios, and demonstrate that the online algorithm Delta t-Adaptive approaches optimality as Delta t increases.
COMPUTING AND COMBINATORICS (COCOON 2021)
(2021)
Article
Computer Science, Artificial Intelligence
Xinping Xu, Bo Li, Minming Li, Lingjie Duan
Summary: The study focuses on the mechanism design problem of locating two facilities on a line interval, considering the requirement of a minimum distance between the facilities. The research provides solutions for both heterogeneous and homogeneous facility scenarios, showing that optimal solutions can be computed efficiently in the former case, while any deterministic strategyproof mechanism has unbounded approximation ratio in the latter case.
JOURNAL OF ARTIFICIAL INTELLIGENCE RESEARCH
(2021)
Proceedings Paper
Computer Science, Hardware & Architecture
Ningning Ding, Zhixuan Fang, Lingjie Duan, Jianwei Huang
Summary: This paper studies the optimal incentive mechanism of a distributed machine learning platform for motivating proper workers' participation in coded machine learning. It proposes a method to summarize workers' heterogeneity as a one-dimensional metric, enabling efficient selection of workers under incomplete information.
IEEE CONFERENCE ON COMPUTER COMMUNICATIONS (IEEE INFOCOM 2021)
(2021)
Article
Engineering, Multidisciplinary
Pan Lai, Lingjie Duan, Xiaojun Lin
Summary: This paper proposes a novel scheme based on flexible contracts to design incentive and coordination mechanisms between large electricity customers and suppliers in order to lower capacity costs. Information revelation through flexible contracts allows for effective sharing of future demand uncertainty, while ensuring customers retain operational autonomy.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2021)
