Article
Computer Science, Hardware & Architecture
Thi Thuy Nga Nguyen, Olivier Brun, Balakrishna J. Prabhu
Summary: In this study, the authors investigate the potential improvement of channel allocation in cellular networks by utilizing predictions on future data rates. They propose an algorithm to predict future throughputs based on Signal-to-Noise Ratio (SNR) maps and use this knowledge to improve online channel allocation. Simulation results show that exploiting knowledge of future radio conditions can significantly enhance channel allocation.
Article
Computer Science, Information Systems
Ishan Budhiraja, Neeraj Kumar, Sudhanshu Tyagi
Summary: A control scheme based on DRL is proposed to address challenges among devices in IoT, focusing on optimizing spectral efficiency and user fairness in D2D communication.
IEEE INTERNET OF THINGS JOURNAL
(2021)
Article
Computer Science, Information Systems
Shaoran Li, Yan Huang, Chengzhang Li, Y. Thomas Hou, Wenjing Lou, Brian A. Jalaian, Stephen Russell
Summary: GUC is a novel scheduler that decomposes the original optimization problem into small subproblems and utilizes GPU parallel computing to provide a real-time solution for 5G underlay coexistence. By selecting promising subproblems and solving them in parallel with fast algorithms, GUC meets the 125 mu s requirement and achieves 90% optimality on average.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2023)
Article
Engineering, Electrical & Electronic
Theodoros Theodoropoulos, Panagiotis Pantazopoulos, Evangelos Karfopoulos, Panagiotis Lytrivis, Giannis Karaseitanidis, Angelos Amditis
Summary: This paper introduces an EV charging allocation framework that considers residential power needs, EV charging demand, and distribution-line voltage constraints. It solves the charging problem using both centralized reference convex optimization algorithms and scalable distributed algorithms to achieve a more balanced EV charging power allocation.
ELECTRIC POWER SYSTEMS RESEARCH
(2022)
Article
Engineering, Electrical & Electronic
Vaibhav Kumar, Zhiguo Ding, Mark Flanagan
Summary: This paper presents the delay-constrained performance analysis of a multi-antenna-assisted multiuser NOMA system over Rayleigh fading channels. It examines the impact of different levels of channel state information and various parameters on the system performance, demonstrating a strong agreement between simulation and theoretical results.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Engineering, Multidisciplinary
Anshu Thakur, Ashok Kumar, Nitin Gupta, Puspita Chatterjee
Summary: This study investigates the secrecy performance in an underlay cognitive radio network with imperfect channel state information and energy harvesting potential. The use of maximal ratio combining technique and consideration of path losses and imperfect CSI are taken into account. The objective is to derive the secrecy outage probability for Rayleigh fading channel and analyze the best antenna selection at the secondary transmitter.
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING
(2022)
Article
Telecommunications
Rosa Saif, Zahra Pourgharehkhan, Shahram ShahbazPanahi, Majid Bavand, Gary Boudreau
Summary: We propose an underlay spectrum sharing scheme where a primary network allows a secondary network to use its spectrum for communication. We design joint power allocation and beamforming schemes for both conventional time-division duplexing and reverse time-division duplexing protocols. Our solutions aim to maximize the secondary network's sum-rates while protecting the primary network from interference. Simulation results demonstrate the superiority of our solution for the reverse time-division duplexing protocol in terms of the secondary network's total sum-rate.
IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING
(2023)
Article
Engineering, Electrical & Electronic
Konstantinos Ntougias, Ioannis Krikidis
Summary: This study focuses on the Joint Transmit/Reflect Beamforming and Power Splitting (JTRBPS) optimization problem in a spectrum underlay setting. It proposes a coordinated channel state information acquisition protocol and develops two iterative algorithms for optimization and parameter updates. Numerical simulations confirm the performance advantages of the proposed strategies.
IEEE TRANSACTIONS ON COMMUNICATIONS
(2022)
Article
Telecommunications
Peishun Yan, Xiaodong Ji, Yulong Zou, Bin Li
Summary: This study investigates the physical-layer security of a multiuser cognitive system with hardware impairments and channel estimation errors. It proposes selection combining and switch-and-examine combining with post-selection schemes to improve security-reliability tradeoff. Closed-form expressions for outage probabilities and intercept probabilities are derived for these schemes. Numerical results show that the selection combining scheme achieves the best security-reliability tradeoff performance at the cost of high computation overhead. The switch-and-examine combining with post-selection scheme outperforms the round-robin scheduling scheme and requires less computation overhead when a suitable threshold is set.
IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING
(2023)
Article
Chemistry, Multidisciplinary
Suoping Li, Wenwu Liang, Vicent Pla, Nana Yang, Sa Yang
Summary: This paper explores a novel cooperative underlay cognitive radio network utilizing non-orthogonal multiple access (CR-NOMA) and implementing adaptive relay selection and power allocation strategies to enhance the achievable data rate for far users. The study also derives closed-form expressions for outage probabilities under interference power constraints, revealing the impact of various factors on system outage probability. Numerical results and simulations demonstrate the benefits of the proposed cooperation and show improved outage performance with the adaptive relay selection and power allocation strategy.
APPLIED SCIENCES-BASEL
(2021)
Article
Engineering, Electrical & Electronic
Woongsup Lee, Kisong Lee
Summary: In this paper, we investigate deep learning-aided distributed transmit power control in the context of an underlay cognitive radio network. The proposed scheme utilizes a distributed deep neural network structure to learn the transmit power control strategy of secondary users in an unsupervised manner, achieving near-optimal spectral efficiency with reduced computation time and signaling overhead compared to centralized strategies.
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY
(2021)
Article
Computer Science, Information Systems
Selvakumar Tharranetharan, Dushantha Nalin K. Jayakody, P. Muthuchidambaranathan, Zheng Chang, Moises Ribeiro
Summary: This system utilizes a novel beamforming technique in which end-users provide wireless power and receive fair service from intermediate nodes. By adjusting data rates proportionally to the amount of energy received, the technique optimizes the energy cost per bit of the entire system.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2021)
Article
Chemistry, Multidisciplinary
Mengjiang Liu, Qianhong Wu, Yiming Hei, Dawei Li
Summary: This paper proposes a blockchain-based method for fair distribution of licensed spectrum, addressing the spectrum distribution issue in 6G networks. By introducing a lightweight consensus mechanism, it effectively reduces computational power consumption and consensus time overhead. Experimental results demonstrate the fairness, effectiveness, and security of the method.
APPLIED SCIENCES-BASEL
(2023)
Article
Computer Science, Hardware & Architecture
Mohamed Ouwais Kabaou, Zoghlami Nesrine, Hamouda Hassen, Baabou Fatma
Summary: This paper discusses radio resource management in the telecommunications industry using opportunistic scheduling approaches and methods. It proposes a new scheduler called IFMR to significantly maximize the system throughput while ensuring perfect fairness and maximizing the number of satisfied users. The performance of the proposed algorithm is evaluated and compared with reference algorithms, and the impact of different schedulers on throughput and fairness is analyzed.
JOURNAL OF SUPERCOMPUTING
(2023)
Article
Computer Science, Information Systems
P. Shachi, T. Sanjana, K. R. Sudhindra, M. N. Suma
Summary: This paper analyzes the performance of a multicarrier underlay cognitive radio system with successive interference cancellation (SIC) method for detection. The system guarantees quality of service (QoS) to the primary user (PU) while maximizing the throughput of the secondary user (SU) through power allocation strategy. Analytical expressions for outage probability at SU and average symbol error rates (SER) per subcarrier of PU and SU are derived and validated using Monte-Carlo simulations. Comparison of detection schemes shows that SIC with channel estimation based on minimum-mean-squared-error (MMSE) performs better. The proposed system ensures sufficient throughput to SU without the need for opportunistic sensing.