Article
Engineering, Electrical & Electronic
Yoel Bokobza, Ron Dabora, Kobi Cohen
Summary: This paper investigates the problem of dynamic spectrum access (DSA) in cognitive wireless networks, where secondary users (SUs) can only obtain partial observations due to narrowband sensing and transmissions. The objective is to maximize the SU's long-term throughput by developing a novel algorithm called Double Deep Q-network for Sensing and Access (DDQSA) that learns both access and sensing policies via deep Q-learning. The proposed algorithm achieves near-optimal performance and outperforms existing approaches in certain scenarios.
IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS
(2023)
Article
Computer Science, Hardware & Architecture
Hisham M. Almasaeid
Summary: Spectrum Sensing as a Service (SSaS) is an emerging business model that enables efficient spectrum sharing. The model involves sensing infrastructure providing cognitive radio networks with information about spectrum availability. In return, the service provider imposes costs on network users. This paper addresses the problem of spectrum allocation in multi-interface dynamic spectrum access networks under the SSaS model, aiming to minimize costs and meet quality of service requirements. An Integer Linear Program (ILP) is formulated, and a sub-optimal algorithm is proposed due to the complexity of ILPs. Extensive experimentation validates the accuracy of the proposed algorithm.
Article
Engineering, Electrical & Electronic
Alok Kumar Shukla, Prabhat Kumar Upadhyay, Abhishek Srivastava, Jules Mouatcho Moualeu
Summary: This article explores a spectral and energy-efficient wireless body area network for smart healthcare applications, focusing on improved spectrum utilization through cognitive radio technology and energy harvesting protocols. Expression for outage probability is derived for both primary and secondary networks, with insights on throughput and energy efficiency performances in a delay-limited scenario. Key parameters are demonstrated to provide guidelines for practical design, and the proposed analytical framework is verified through Monte Carlo simulations.
IEEE SENSORS JOURNAL
(2021)
Article
Computer Science, Information Systems
Srinivasa Rao Patri, L. Nithyanandan
Summary: This paper investigates the efficient harvest of energy and enhancement of network throughput to extend the lifespan of narrowband user equipment. The proposed network model utilizes grouping-based approach, where energy is harvested first before spectrum sensing and data transmission are performed. The grouping strategy considers users in closer proximity to the access point (AP) as a group, allowing for increased energy harvesting and longer device lifespan.
MULTIMEDIA TOOLS AND APPLICATIONS
(2022)
Article
Telecommunications
Xin-Lin Huang, Yu-Xuan Li, Yu Gao, Xiao-Wei Tang
Summary: This article proposes a spectrum access scheme based on Q-learning to pursue high spectrum efficiency through intelligent access to idle spectrum. By integrating indicators such as throughput and collision probability into the reward function, the performance requirements of multimedia applications are met. Simulation results show that the proposed scheme achieves good performance in terms of throughput, power efficiency, and collision probability.
IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING
(2021)
Article
Computer Science, Information Systems
Ramsha Ahmed, Yueyun Chen, Bilal Hassan
Summary: This paper addresses the opportunistic spectrum access (OSA) problem in the 5G/B5G cognitive radio (CR) network of IoTs and UAVs through the novel deep learning-based detector, dubbed as Deep-CRNet. Deep-CRNet intelligently learns and locates the spectrum holes so that secondary users (SUs) and primary users (PUs) can dynamically share network spectrum resources. The efficacy of Deep-CRNet is validated through simulation results, achieving high accuracy, precision, and recall in accurately classifying the PU status.
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
Telecommunications
Hao Fang, Tao Zhang, Linyuan Zhang, Hao Wu, Guoru Ding, Yueming Cai
Summary: This paper discusses how to detect illegal spectrum access behaviors in dynamic spectrum sharing, proposes a two-step detector and cooperative spectrum sensing scheme, and conducts performance simulations of the proposed detection schemes.
IEEE TRANSACTIONS ON COGNITIVE COMMUNICATIONS AND NETWORKING
(2021)
Article
Computer Science, Hardware & Architecture
Sangeeta Bhattacharjee, Tamaghna Acharya, Uma Bhattacharya
Summary: This paper surveys the latest techniques for multicast services in cognitive radio networks and analyzes the utility of different spectrum sharing models in fulfilling the communication goals of multicast services. The study emphasizes the characteristics of multicast traffic, key enabling techniques for enhancing the efficiency of such services, and approaches for mitigating interference experienced by licensed users. By analyzing existing works, this paper provides design guidelines for multicast services in future 5G networks and discusses future research directions.
Article
Computer Science, Information Systems
Kun Tang, Shaowei Liao, Quan Xue
Summary: In this paper, a spectrum sharing protocol for cognitive radio networks is proposed, which improves system spectrum efficiency through energy harvesting and signal forwarding. The system performance is optimized through two phases of data transmission blocks and bandwidth allocation coefficients.
Article
Computer Science, Information Systems
Shisheng Hu, Yiyang Pei, Ying-Chang Liang
Summary: The study proposes the application of blockchain to DSA and aims to optimize the frame structure regarding sensing time and mining time to maximize achievable throughput. It proves the existence of a unique maximum point for both sub-optimization problems and proposes an alternating algorithm for optimization, illustrating the tradeoff and effectiveness through simulations.
IEEE WIRELESS COMMUNICATIONS LETTERS
(2021)
Article
Chemistry, Multidisciplinary
Kiran Sultan
Summary: This article proposes a NOMA-based spectrum-sharing scheme for dual-hop CRNs, where a primary transmitter communicates with a primary receiver via NOMA-based CRN while being separated by a long distance. Three computational intelligence (CI) methods are proposed to solve the optimization problem and ensure quality of service (QoS) for all users. An enhanced version of the classic artificial bee colony (ABC) algorithm, EABC, is proposed to overcome the limitations of ABC. The comparison of different CI approaches shows that EABC achieves a 13.95% power consumption reduction compared to ABC, while achieving 29.78% and 46.15% power-saving compared to PSO and GA, respectively.
APPLIED SCIENCES-BASEL
(2023)
Article
Computer Science, Hardware & Architecture
Abdulrahman Saad Alqahtani, Suresh Babu Changalasetty, P. Parthasarathy, Lalitha Saroja Thota, Azath Mubarakali
Summary: Wireless Body Area Network (WBAN) is a wireless network that supports continuous monitoring of physiological signals of the human body. It optimizes wireless connections using cognitive radio technology and dynamically indicates effective data transmission paths through machine learning, thus extending the network's lifespan. Reducing energy consumption has become a significant concern in mobile communication networks.
COMPUTERS & ELECTRICAL ENGINEERING
(2023)
Article
Computer Science, Information Systems
Sunjung Kang, Changhee Joo
Summary: In cognitive radio networks, dynamic spectrum access allows unlicensed users to access unused channels opportunistically, improving spectrum utilization. This paper addresses the user-channel allocation problem in multi-user multi-channel CRNs, proposing two rate-optimal algorithms with low computational complexities while emphasizing the importance of channel exclusivity and distributed implementation.
IEEE TRANSACTIONS ON MOBILE COMPUTING
(2021)
Article
Engineering, Multidisciplinary
Nehal M. El Azaly, Ehab F. Badran, Hassan Nadir Kheirallah, Hania H. Farag
Summary: The paper proposes a channel reservation scheme in cooperative cognitive radio networks, which dynamically coordinates access for primary and secondary users. The scheme significantly reduces blocking and forced termination probabilities for SUs while improving system performance.
ALEXANDRIA ENGINEERING JOURNAL
(2021)
Article
Telecommunications
Shabnam Sodagari, Hamid Jafarkhani
IEEE COMMUNICATIONS LETTERS
(2018)
Article
Computer Science, Information Systems
Najmeh Madani, Shabnam Sodagari
Article
Engineering, Electrical & Electronic
Shabnam Sodagari, Hamid Jafarkhani, Homayoun Yousefi'zadeh
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS
(2019)
Article
Telecommunications
Shabnam Sodagari
Summary: This article presents the underlying structure and solutions to the NOMA user-channel allocation problem, guaranteeing convergence and stability. It also investigates the relationship between NOMA resource allocation and various models and equilibria.
INTERNATIONAL JOURNAL OF WIRELESS INFORMATION NETWORKS
(2022)
Article
Engineering, Electrical & Electronic
Mohammad Sadegh Safari, Vahid Pourahmadi, Shabnam Sodagari
IEEE OPEN JOURNAL OF VEHICULAR TECHNOLOGY
(2020)
Article
Engineering, Electrical & Electronic
Shabnam Sodagari
IEEE SENSORS LETTERS
(2020)
