Article
Computer Science, Information Systems
Wanying Guo, Shiraz Ali Wagan, Dong Ryeol Shin, Nawab Muhammad Faseeh Qureshi
Summary: Green communication plays a significant role in cellular communications nowadays. This paper proposes a Distributed Cell Dormant Technique that considers caching for improving the energy efficiency of dense heterogeneous networks.
COMPUTER COMMUNICATIONS
(2022)
Article
Telecommunications
Li Zhang, Jinping Niu, Yiyao Wang, Gaojie Chen, Tao Gu, Yanyan Li
Summary: This letter utilizes reconfigurable intelligent surface (RIS) to improve task computing energy efficiency in heterogeneous networks with wireless backhaul. By jointly optimizing factors such as transmit power, computational capacity, task offloading rate, and passive beamforming matrix, the overall energy consumption of users is minimized. The problem is decomposed into two sub-problems and solved iteratively, taking into account the wireless backhaul capacity.
IEEE COMMUNICATIONS LETTERS
(2023)
Article
Computer Science, Information Systems
Hongbo Jiang, Zhu Xiao, Zexian Li, Jisheng Xu, Fanzi Zeng, Dong Wang
Summary: This paper proposes an energy-efficient framework for LTE-A heterogeneous networks, where an elastic cell-zooming algorithm and a clustering-based IoT structure are utilized to enhance energy efficiency and mitigate resource competition. Simulation results demonstrate that the proposed framework significantly improves the energy efficiency for IoT underlaying small cell networks while guaranteeing outage probability.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2022)
Article
Computer Science, Information Systems
Ruiting Zhou, Xueying Zhang, Shixin Qin, John C. S. Lui, Zhi Zhou, Hao Huang, Zongpeng Li
Summary: This article introduces the deployment of small cells in 5G networks and their partnership with edge computing. It also proposes an online learning framework, LFSC, to guide task offloading in small cell networks. The theoretical analysis and simulation studies demonstrate the advantages of LFSC.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2022)
Article
Computer Science, Information Systems
Xiaofei Wang, Min Chen, Victor C. M. Leung, Zhu Han, Kai Hwang
Summary: Efforts have been made to research on offloading traffic from cellular links to direct communications among users due to the rapid growth of traffic in recent years. A framework called TOSS was proposed, which aims to offload SNS-based cellular traffic by user-to-user sharing in mobile social networks. Users are selected based on their content spreading impacts in online SNSs and mobility patterns in offline MSNs, and they share content via opportunistic local connectivity using options like Bluetooth, Wi-Fi Direct, and Device-to-Device in LTE. The effectiveness of TOSS was further proven through analysis of mobility traces and online SNS trace.
IEEE TRANSACTIONS ON SERVICES COMPUTING
(2021)
Article
Computer Science, Information Systems
Biling Zhang, Jiahua Liu, Min Wang, Zhu Han
Summary: To achieve a green heterogeneous 5G network, LPNs can be shut off and the load can be transferred to nearby RRHs. However, the issue of providing long-term incentives for RRHs and selecting the best one is essential. This article proposes a long-term contract design problem to address the incentive problem under asymmetric information condition.
IEEE INTERNET OF THINGS JOURNAL
(2023)
Article
Engineering, Electrical & Electronic
Humayun Zubair Khan, Mudassar Ali, Imran Rashid, Abdul Ghafoor, Muhammad Naeem, Adnan Ahmed Khan, Adil Masood Saddiqui
Summary: This passage discusses the use of UDDa strategy for traffic offloading and energy-efficient cell association in HetNets, proposing mathematical models and solutions. Simulation results demonstrate the effectiveness of UDDa strategy over UDCa strategy in terms of MDs association, traffic offloading, interference mitigation, data rate, and energy efficiency in the network.
INTERNATIONAL JOURNAL OF COMMUNICATION SYSTEMS
(2021)
Article
Computer Science, Information Systems
Majid Abiri, Mehri Mehrjoo, Mehdi Rezaei
Summary: This paper presents a scalable video traffic offloading (SVO) approach to improve video streaming services in 5G heterogeneous networks, by combining scalable video coding (SVC) and traffic offloading. Through a thorough investigation of a multi-objective optimization problem, a heuristic solution is proposed and evaluated against an upper bound solution, showing promising performance with low computational complexity for streaming services implementation.
MULTIMEDIA TOOLS AND APPLICATIONS
(2022)
Article
Computer Science, Hardware & Architecture
Zhihan Lv, Amit Kumar Singh, Jinhua Li
Summary: This study aims to address the security issues of 5G heterogeneous networks using deep learning technology, focusing on modulation recognition and beamforming. The proposed unsupervised beamforming algorithm based on deep learning effectively reduces computational complexity and demonstrates superiority in modulation recognition compared to traditional algorithms.
Article
Engineering, Electrical & Electronic
Chanwon Park, Jemin Lee
Summary: This paper introduces a novel framework for MEC-enabled heterogeneous networks, considering multiple-type mobile users with different sizes of computation tasks and deriving the successful edge computing probability (SECP). It provides insights for optimal configuration design by analyzing the effects of network parameters and bias factors on SECP.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Vyacheslav Begishev, Eduard Sopin, Dmitri Moltchanov, Rustam Pirmagomedov, Andrey Samuylov, Sergey Andreev, Yevgeni Koucheryavy, Konstantin Samouylov
Summary: This study develops a mathematical framework using stochastic geometry and queuing theory, utilizing 3GPP cluster-based propagation modeling to capture session-level service dynamics of user equipment that supports multi-band operation. The results show that serving mmWave sessions with microwave BSs is feasible in light traffic conditions, but there are challenges to be aware of.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2021)
Article
Automation & Control Systems
Peng Yu, Mo Yang, Ao Xiong, Yahui Ding, Wenjing Li, Xuesong Qiu, Luoming Meng, Michel Kadoch, Mohamed Cheriet
Summary: This article proposes an intelligent-driven green resource allocation mechanism for IIoT under 5G heterogeneous networks. By using intelligent mechanisms and deep reinforcement learning algorithms, the proposed method achieves better performance while maintaining service quality.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2022)
Article
Engineering, Electrical & Electronic
Chen Chen, Jiliang Zhang, Xiaoli Chu, Jie Zhang
Summary: The height difference between base stations (BSs) and user equipment (UE) has a significant impact on the performance of heterogeneous networks (HetNets) with dense deployment of small cells. In this paper, we propose a 3D model for a multi-antenna BSs HetNet and derive analytical expressions for various performance metrics. We also identify optimization strategies based on the numerical results.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2022)
Article
Computer Science, Information Systems
Abdullah Alqasir
Summary: The exponential growth of mobile data traffic requires the implementation of HetNets, and mmWaves technology can potentially solve the backhauling problem by providing high throughput and low CAPEX. However, the high attenuation rate in mmWaves can severely degrade the system's performance. Therefore, a novel network model is presented to minimize the overall energy consumption while maintaining sufficient QoS, using a combination of SBS, AAUs, and ECUs.
Article
Computer Science, Information Systems
Ang-Hsun Tsai, Chung-Hsien Tsai
Summary: Emergency communication systems are crucial in disaster-relief settings. This paper proposes a hybrid traffic offloading mechanism to alleviate core network congestion and enhance system spectral efficiency, improving communication quality among relief workers. The mechanism may have future applications in smart cities and smart homes.
WIRELESS COMMUNICATIONS & MOBILE COMPUTING
(2021)
Article
Computer Science, Information Systems
Xinping Xu, Lingjie Duan, Minming Li
Summary: This article addresses the issue of selfish users in UAV placement games by proposing strategyproof mechanisms to minimize social service costs, while also considering obnoxious users and dual preferences.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2021)
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
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
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)
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)
Article
Engineering, Multidisciplinary
Pan Lai, Costas Courcoubetis, Lingjie Duan, Stefano Galelli
Summary: Water distribution networks are designed to provide adequate water flow to users, but unexpected events can disrupt this. Under water scarcity conditions, users in high-pressure zones may gain a competitive advantage, affecting the social welfare of other customers. A game theoretic approach and uniform pricing mechanism can be used to ensure fair supply to all customers by limiting demand in high-pressure zones.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2021)
Article
Computer Science, Hardware & Architecture
Yunpeng Li, Costas A. Courcoubetis, Lingjie Duan, Richard Weber
Summary: This paper examines how a peer-to-peer sharing platform can maximize profit through different pricing strategies, considering the positive externalities brought by user participation. It explores the optimal pricing strategies for network services through different utility models and pricing schemes under incomplete information.
IEEE-ACM TRANSACTIONS ON NETWORKING
(2021)