Article
Computer Science, Information Systems
Abdulhamid Adebayo, Danda B. Rawat
Summary: This article proposes a 2-level hierarchical spectrum allocation framework for multiple service-based virtual networks. The framework leverages software defined networking to dynamically configure network parameters based on the operating environment. It also introduces a trust-based security mechanism for early detection and prevention of security attacks.
IEEE TRANSACTIONS ON SERVICES COMPUTING
(2022)
Article
Computer Science, Hardware & Architecture
Yang Gao, Wenjun Wu, Pengbo Si, Zhaoxin Yang, Fei Richard Yu
Summary: This article introduces a new architecture for resource sharing and transactions in fog computing networks, called B-ReST, enabled by blockchain technology. Key technologies and advantages of B-ReST are discussed, and simulation results demonstrate the benefits of B-ReST in resource sharing and transactions through solving the RPM problem.
IEEE WIRELESS COMMUNICATIONS
(2021)
Article
Computer Science, Information Systems
Weidang Lu, Peiyuan Si, Guoxing Huang, Huimei Han, Liping Qian, Nan Zhao, Yi Gong
Summary: The article proposes two SWIPT cooperative spectrum sharing methods to improve the energy and spectrum efficiency for 6G-enabled cognitive IoT network. IoDs access the primary spectrum by serving as OFDM relay with the energy harvested from the received RF signal. The achievable rates of the cognitive IoT system with AF and DF relaying mode are maximized through joint power and subcarrier optimization, while ensuring the target rate of the primary system, demonstrating improvement in spectrum and energy efficiency through simulation results.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Hardware & Architecture
Pan Ding, Xiaojuan Liu, Zhenguo Wang, Ke Zhang, Zequan Huang, Yong Chen
Summary: This article proposes a distributed Q-learning-enabled multi-dimensional spectrum sharing security scheme for user safety and performance balance in the ultra-dense network scenario of 6G wireless communication.
IEEE WIRELESS COMMUNICATIONS
(2022)
Article
Engineering, Civil
Tharindu Dilshan Ponnimbaduge Perera, Stefan Panic, Dushantha Nalin K. Jayakody, P. Muthuchidambaranathan, Jun Li
Summary: This paper investigates a resource allocation and data gathering scenario of an unmanned aerial vehicle (UAV) assisted wireless powered sensor network. A time-block structure with two phases is proposed, where sensors are remotely powered by power beacons via radio-frequency wireless power transmission. The paper derives a closed-form expression for outage probability and formulates an optimization problem for RF-WPT energy harvesting to improve system performance, using Lagrangian duality method for an asymptotic optimal solution with less complexity. Simulation results demonstrate the superiority of the proposed methods compared to brute force/ exhaustive search approach.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2021)
Article
Computer Science, Information Systems
Han-Ting Ye, Xin Kang, Jingon Joung, Ying-Chang Liang
Summary: This study proposes an energy-limited UAV-enabled wireless-powered IoT network scheme that collects energy through flying and hovering for charging, investigates the optimal time allocation and hovering time ratio to maximize total throughput.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2021)
Article
Computer Science, Theory & Methods
Yu'e Jiang, Liangmin Wang, Hsiao-Hwa Chen
Summary: Wireless energy harvesting enables efficient Device-to-Device communication for improved spectral and energy efficiencies. To confuse adversaries, power beacons can be used to send jamming signals in D2D communication. An alternating optimization algorithm is adopted to maximize covert throughput and evaluate and optimize covert performance.
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
(2023)
Article
Automation & Control Systems
Weidang Lu, Xiaohan Xu, Guoxing Huang, Bo Li, Yuan Wu, Nan Zhao, F. Richard Yu
Summary: Smart agriculture utilizes wireless sensor networks to optimize information resources, improve product quality, and enhance productivity. SWIPT technology effectively extends the lifetime of sensor networks by addressing energy consumption issues. Green communication and energy efficiency optimization are achieved through subcarrier pairing and power allocation optimization.
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS
(2021)
Article
Engineering, Electrical & Electronic
Akash Agarwal, Aditya K. Jagannatham
Summary: This paper investigates a simultaneous wireless information and power transfer (SWIPT)-assisted cognitive overlay-based MIMO downlink cooperative relaying system, where a secondary network consisting of an energy harvesting base station and wireless-powered secondary users shares the spectrum of a primary network. Closed-form expressions for the end-to-end outage probability are derived considering Rayleigh fading channel links, sensitivity and saturation impairments at the energy harvesting nodes. The impact of energy harvesting impairments and finite battery on the system performance are also analyzed.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2022)
Article
Computer Science, Hardware & Architecture
Megumi Kaneko, Thi Ha Ly Dinh, Kenichi Kawamura, Takatsune Moriyama, Yasushi Takatori
Summary: This paper discusses the optimization of user-to-multiple AP association in B5G networks and proposes a solution based on deep reinforcement learning. By deploying light-weight deep Q networks on user devices, the devices can optimize the association of APs and interfaces autonomously to meet the requirements of various applications.
Article
Computer Science, Information Systems
Shuang Li, Fengye Hu, Zhuo Xu, Zhi Mao, Zhuang Ling, He Liu
Summary: This article investigates a classified system with a relay in wireless body area networks, optimizing power allocation and cooperation to maximize system throughput. The proposed optimal method significantly improves information throughput compared to conventional methods.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Information Systems
Riheng Jia, Xiuling Zhang, Yanju Feng, Tianliang Wang, Jianfeng Lu, Zhonglong Zheng, Minglu Li
Summary: This study developed a deep Q-learning approach for long-term energy collection in self-sustainable sensor networks. Simulation results showed that sensors can intelligently learn to select the best energy collection location, and investigated the impact of system parameters on algorithm performance.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Hardware & Architecture
Bodong Shang, Rubayet Shafin, Lingjia Liu
Summary: This study introduces the use of a UAV swarm-enabled reconfigurable intelligent surface (SARIS), which has advantages over traditional terrestrial and aerial RIS and offers new applications in wireless networks, but faces design challenges that need to be addressed.
IEEE WIRELESS COMMUNICATIONS
(2021)
Article
Engineering, Electrical & Electronic
Rongqing Zhang, Rui Lu, Xiang Cheng, Ning Wang, Liuqing Yang
Summary: This paper proposes a novel unmanned aerial vehicle (UAV)-enabled scheduling protocol to optimize data dissemination efficiency in V2X networks. By deploying UAVs as flying base stations with caching capability and utilizing proactive caching and file sharing strategies, the protocol improves network performance metrics such as caching process, system throughput, and file sharing latency.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2021)
Article
Computer Science, Hardware & Architecture
Zhiyong Feng, Zhiqing Wei, Xu Chen, Heng Yang, Qixun Zhang, Ping Zhang
Summary: This paper proposes the joint communication, sensing, and computation (JCSC) framework for the 6G intelligent machine-type communication (IMTC) network, aiming to achieve low latency, high reliability communication, highly accurate sensing, and fast environment adaption.
Article
Computer Science, Information Systems
Jingjing Yao, Nirwan Ansari
Summary: In this article, we investigate the optimization of energy consumption and federated learning time in fog-aided IoT networks by controlling the CPU frequency and wireless transmission power of all IoT devices. An alternative direction algorithm is designed to solve this problem by optimizing the CPU frequency and wireless transmission power alternately until convergence, and its performance is demonstrated through extensive simulations.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Hardware & Architecture
Praveen Gorla, Vinay Chamola, Vikas Hassija, Nirwan Ansari
Summary: The 5G technology utilizes MIMO for increasing capacity and efficiency of the network, requiring effective resource management for reliable services, where blockchain technology plays a promising role to resolve spectrum under-utilization.
Article
Chemistry, Analytical
Xiangjun Li, Qimei Cui, Jinli Zhai, Xueqing Huang
Summary: This paper proposes a power control solution for uplink hybrid OMA and PD-NOMA in dual dynamic environments to maximize system energy efficiency while guaranteeing hierarchical user QoS requirements, using a Deep Reinforcement Learning (DRL)-based method. Simulation results verify the effectiveness and robustness of the proposed algorithm under a dual uncertain environment, showing satisfying performance compared to the baseline Particle Swarm Optimization algorithm (PSO).
Article
Telecommunications
Borui Zhao, Qimei Cui, Shengyuan Liang, Jinli Zhai, Yanzhao Hou, Xueqing Huang, Miao Pan, Xiaofeng Tao
Summary: The article focuses on green concerns in FL over 6G, analyzing energy consumption challenges and proposing various methods to reduce energy consumption and green designs for FL-based 6G networks.
CHINA COMMUNICATIONS
(2022)
Article
Multidisciplinary Sciences
Shovon Lal Sarkar, A. S. M. Rubayet Ul Alam, Prosanto Kumar Das, Md Hasan Ali Pramanik, Hassan M. Al-Emran, Iqbal Kabir Jahid, M. Anwar Hossain
Summary: A simple and cost-effective alternative diagnostic method for COVID-19 was developed based on melting curve analysis. Compared to commercial kits, this method shows high specificity and sensitivity, with lower cost.
SCIENTIFIC REPORTS
(2022)
Article
Engineering, Civil
Guanxiong Liu, Hang Shi, Abbas Kiani, Abdallah Khreishah, Joyoung Lee, Nirwan Ansari, Chengjun Liu, Mustafa Mohammad Yousef
Summary: This study proposes utilizing edge computing for traffic monitoring tasks, with different algorithms executed on edge nodes and the TMC, considering limited computing resources on the cloudlets and unstable network conditions. The hybrid edge-cloud solution outperforms both cloud-only and edge-only solutions in test-bed experiments under various weather and network conditions.
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS
(2022)
Article
Immunology
M. Nazmul Hoque, Md. Murshed Hasan Sarkar, Md. Arif Khan, Md. Arju Hossain, Md. Imran Hasan, Md. Habibur Rahman, Md. Ahashan Habib, Shahina Akter, Tanjina Akhtar Banu, Barna Goswami, Iffat Jahan, Tasnim Nafisa, Md. Maruf Ahmed Molla, Mahmoud E. Soliman, Yusha Araf, M. Salim Khan, Chunfu Zheng, Tofazzal Islam
Summary: This study utilized machine learning approaches to analyze RNA-seq data from COVID-19 patients, recovered individuals, and healthy individuals, finding disease-related differentially expressed genes. It provides insights into the role of SARS-CoV-2 infection in the pathophysiology and comorbidity of COVID-19.
FRONTIERS IN IMMUNOLOGY
(2022)
Article
Computer Science, Information Systems
Hongjia Li, Chang Yang, Liming Wang, Nirwan Ansari, Ding Tang, Xueqing Huang, Zhen Xu, Dan Hu
Summary: Mobile edge computing (MEC) is a method of extending computing services from the cloud to the edge, providing real-time services and addressing backhaul bottleneck. To enhance security defense flexibility, we propose the CODE4MEC framework, which coordinates container-carried defensive resources among cooperative MEC nodes for automatic adaptation to traffic changes. We introduce an online combinatorial auction mechanism for real-time CODE scheduling and a flow-based coordination scheme for efficient defense.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2023)
Article
Oncology
Jiyang Liu, Xiongfeng Yu, Xueqing Huang, Qingquan Lai, Jieyun Chen
Summary: This study aimed to investigate the impact of preoperative body composition analysis on long-term oncological outcomes in patients with mid and low rectal cancer who underwent surgery. The study found that skeletal muscle area and subcutaneous fat distribution were important predictors of long-term oncological outcomes. Skeletal muscle radiodensity and visceral fat area were also associated with prognosis.
Article
Computer Science, Information Systems
Abdullah Hossain, Nirwan Ansari
Summary: This paper extensively examines the impact of numerology schemes on a sliced TDD radio access network. The incorporation of numerology schemes into network slicing is highly instrumental in realizing the future 5G and 6G networks. The work demonstrates the enhanced capabilities of sliced networks utilizing numerology by optimizing key parameters and allocating power and bandwidth under numerology-enabled slicing.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2023)
Proceedings Paper
Engineering, Electrical & Electronic
Kangjia Yu, Qimei Cui, Ziyuan Zhang, Xueqing Huang, Xuefei Zhang, Xiaofeng Tao
Summary: In future mobile edge networks, IoT applications require low latency and high computational power. To efficiently process IoT tasks, a framework utilizing unmanned aerial vehicle (UAV) and satellite-assisted mobile edge computing (MEC) has been proposed. To adapt to the dynamic environment and optimize resource utilization, a multiagent deep deterministic policy gradient (MADDPG) framework is introduced.
2022 27TH ASIA PACIFIC CONFERENCE ON COMMUNICATIONS (APCC 2022): CREATING INNOVATIVE COMMUNICATION TECHNOLOGIES FOR POST-PANDEMIC ERA
(2022)
Article
Computer Science, Information Systems
Xueqing Huang, Nirwan Ansari
Summary: Mobile edge computing can reduce the distance for data transmission and improve content delivery efficiency by considering both storage and radio aspects. This article proposes a comprehensive analytical framework for content caching and delivery, and introduces a joint user scheduling and caching scheme to optimize performance.
IEEE TRANSACTIONS ON CLOUD COMPUTING
(2022)
Proceedings Paper
Computer Science, Information Systems
Qi Dang, Qimei Cui, Zhenzhen Gong, Xuefei Zhang, Xueqing Huang, Xiaofeng Tao
Summary: In this study, a UAV-enabled wireless power transmission scheme is proposed, which focuses on the freshness of information (AoI) in IoT paradigm. The proposed scheme utilizes deep reinforcement learning for UAV trajectory planning to achieve optimal system-level AoI. Simulation results show the effectiveness of the proposed approach compared to existing methods.
2022 IEEE WIRELESS COMMUNICATIONS AND NETWORKING CONFERENCE (WCNC)
(2022)
Article
Engineering, Electrical & Electronic
Xueqing Huang, Nirwan Ansari, Siqi Huang, Wenjia Li
Summary: This paper investigates the benefits of local information exchange in enhancing performance and security in the Internet of Things (IoT). By leveraging proprietary physical layer channel information to extract keys, the proposed model can flexibly incorporate dynamic information flows and quantify information leakage caused by wireless broadcasting. The rigorously defined and derived security metrics have been verified using real-world collected wireless channel data, demonstrating previously inconceivable security properties of the model.
IEEE OPEN JOURNAL OF THE COMMUNICATIONS SOCIETY
(2022)
Article
Telecommunications
Jian Zhang, Qimei Cui, Xuefei Zhang, Xueqing Huang, Xiaofeng Tao
Summary: This study introduces an online learning algorithm for mobile edge computing networks, optimizing user association and resource scheduling to minimize network cost using theories of minimum cost maximum flow and stochastic gradient descent. A two-timescale optimization approach is proposed to avoid frequent changes in user association, maintaining asymptotic optimality. Simulation results confirm the effectiveness of the proposed algorithms.
CHINA COMMUNICATIONS
(2021)
