Journal ArticleDOI
Self-organization paradigms and optimization approaches for cognitive radio technologies: a survey
TLDR
In this article, a survey of cognitive radio functionalities with self-organization features is presented, including critical functionalities of MAC and network-layer operations, including common control channel management, cooperative spectrum sensing, bioinspired spectrum sharing, network scalability and adaptive routing.Abstract:
Cognitive radio is regarded as a promising technology to provide high bandwidth to mobile users via heterogeneous wireless network architectures and dynamic spectrum access techniques. However, cognitive radio networks may also impose some challenges due to various factors such as the ever increasing complexity of network architecture, the high cost of configuring and managing large-scale networks, the fluctuating nature of the available spectrum, diverse QoS requirements of various applications, and the intensifying difficulties of centralized control. A plethora of work has been carried out to address the challenges aforementioned by employing cognitive radio functionalities with self-organization features. In this article, variant aspects of selforganization paradigms in cognitive radio networks, including critical functionalities of MACand network-layer operations, are surveyed. The main contributions of this survey include introducing the fundamentals of existing cognitive radio and self-organization techniques as well as their current progress, surveying critical cognitive radio issues (including common control channel management, cooperative spectrum sensing, bioinspired spectrum sharing, network scalability and adaptive routing) as well as their self-organization features, and identifying new directions and open problems in cognitive radio networks.read more
Citations
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Journal ArticleDOI
Full-Duplex Wireless Communications: Challenges, Solutions, and Future Research Directions
TL;DR: This treatise discusses a range of critical issues related to the implementation, performance enhancement and optimization of FD systems, including important topics such as hybrid FD/HD scheme, optimal relay selection and optimal power allocation, etc.
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On Swarm Intelligence Inspired Self-Organized Networking: Its Bionic Mechanisms, Designing Principles and Optimization Approaches
TL;DR: This paper surveys different aspects of bio-inspired mechanisms and examines various algorithms that have been applied to artificial SON systems and discusses advantages, drawbacks, and further design challenges of variant algorithms.
Journal ArticleDOI
Cognitive radio for M2M and Internet of Things: A survey
TL;DR: This paper surveys novel approaches and discusses research challenges related to the use of cognitive radio technology for Internet of things, and intends to help new researchers entering the domain of CR and IoT by providing a comprehensive survey on recent advances.
Journal ArticleDOI
Specific Emitter Identification via Hilbert–Huang Transform in Single-Hop and Relaying Scenarios
TL;DR: This paper investigates the specific emitter identification (SEI) problem, which distinguishes different emitters using features generated by the nonlinearity of the power amplifiers of emitters, and three algorithms based on the Hilbert spectrum are proposed that show effectiveness in both single-hop and relaying scenarios, as well as under different channel conditions.
Journal ArticleDOI
Specific Emitter Identification via Convolutional Neural Networks
TL;DR: A deep-learning-based SEI approach that uses the features of the received steady-state signals to identify specific emitters using the compressed bispectrum, which outperforms other existing schemes in the literature.
References
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NeXt generation/dynamic spectrum access/cognitive radio wireless networks: a survey
TL;DR: The novel functionalities and current research challenges of the xG networks are explained in detail, and a brief overview of the cognitive radio technology is provided and the xg network architecture is introduced.
Cognitive Radio An Integrated Agent Architecture for Software Defined Radio
TL;DR: This article briefly reviews the basic concepts about cognitive radio CR, and the need for software-defined radios is underlined and the most important notions used for such.
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AntNet: distributed stigmergetic control for communications networks
Gianni A. Di Caro,Marco Dorigo +1 more
TL;DR: AntNet is a distributed, mobile agents based Monte Carlo system that was inspired by recent work on the ant colony metaphor for solving optimization problems, and showed superior performance under all the experimental conditions with respect to its competitors.
Journal ArticleDOI
AntHocNet: an adaptive nature-inspired algorithm for routing in mobile ad hoc networks
TL;DR: AntHocNet is a hybrid algorithm, which combines reactive path setup with proactive path probing, maintenance and improvement, based on the nature-inspired ant colony optimisation framework, and its performance advantage is visible over a broad range of possible network scenarios.
Journal ArticleDOI
On Swarm Intelligence Inspired Self-Organized Networking: Its Bionic Mechanisms, Designing Principles and Optimization Approaches
TL;DR: This paper surveys different aspects of bio-inspired mechanisms and examines various algorithms that have been applied to artificial SON systems and discusses advantages, drawbacks, and further design challenges of variant algorithms.