Software Defined Cognitive Radio Network Framework

Author:

Jararweh Yaser1,Al-Ayyoub Mahmoud1,Doulat Ahmad1,Al Aziz Ahmad Al Abed1,Salameh Haythem A. Bany2,Khreishah Abdallah A.3

Affiliation:

1. Computer Science Department, Jordan University of Science and Technology, Irbid, Jordan

2. Department of Telecommunications Engineering, Yarmouk University, Irbid, Jordan

3. Department of Electrical and Computer Engineering, New Jersey Institute of Technology, Newark, NJ, USA

Abstract

Software defined networking (SDN) provides a novel network resource management framework that overcomes several challenges related to network resources management. On the other hand, Cognitive Radio (CR) technology is a promising paradigm for addressing the spectrum scarcity problem through efficient dynamic spectrum access (DSA). In this paper, the authors introduce a virtualization based SDN resource management framework for cognitive radio networks (CRNs). The framework uses the concept of multilayer hypervisors for efficient resources allocation. It also introduces a semi-decentralized control scheme that allows the CRN Base Station (BS) to delegate some of the management responsibilities to the network users. The main objective of the proposed framework is to reduce the CR users' reliance on the CRN BS and physical network resources while improving the network performance by reducing the control overhead.

Publisher

IGI Global

Subject

Computer Networks and Communications

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Neuromorphic Hardware in Outer Space: Software Defined Networking Executed on an In-Orbit Loihi Spiking Processor;2023 IEEE Cognitive Communications for Aerospace Applications Workshop (CCAAW);2023-06-20

2. An Efficient Routing Protocol for Full-Duplex Software Defined Radios;2022 Ninth International Conference on Software Defined Systems (SDS);2022-12-12

3. Performance evaluation for secondary users in finite-source cognitive radio networks with dynamic preemption limit;AEU - International Journal of Electronics and Communications;2022-05

4. Full-Duplex Communication in Cognitive Radio Networks: A Survey;IEEE Communications Surveys & Tutorials;2017

5. Virtualization-based Cognitive Radio Networks;Journal of Systems and Software;2016-07

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