A Survey on Dynamic Spectrum Access for LTE-Advanced

Arafat, Abdullah Omar; Al‐Hourani, Akram; Nafi, Nazmus Shaker; Gregory, Mark A

doi:10.1007/s11277-017-4707-0

Cited by 8 publications

(5 citation statements)

References 76 publications

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“…An attacker can obtain the accurate location of Vehicle A through a positioning algorithm. Taking the three-point positioning algorithm as an example, the positioning point is the intersection position of three circles expressed in equation (7).…”

Section: Attack Models and Assumptionsmentioning

confidence: 99%

“…Cognitive radio (CR) is an enabling technology with the potential to increase spectrum utilization and provide desired interference protection to licensed users [6]. Cognitive radio networks (CRN) can improve channel utilization to meet the growing demand for wireless communication bandwidth [7], [8]. The application of CR technology enables a subset of vehicles to work as secondary users and opportunistically use the spectrum.…”

Section: Introductionmentioning

confidence: 99%

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Privacy Preserving Algorithm for Spectrum Sensing in Cognitive Vehicle Networks

Li,

Hu,

Chen

et al. 2024

Chinese J. Elect.

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The scarcity of spectrum resources fails to meet the increasing throughput demands of vehicular networks. There is an urgent need to maximize the utilization of spectrum bands in mobile networks. To ascertain the availability of spectrum bands, users should engage in wireless channel sensing and collaboration. However, spectrum sensing data always involves users' privacy, such as their location. This paper first introduces sensing trajectory inference attack in cognitive vehicular networks and then proposes a data confusion-based privacy-preserving algorithm and a cryptonym array-based privacy-preserving aggregation scheme for spectrum sensing in cognitive vehicular networks. Unlike existing methods, the proposed schemes transmit confused data during the aggregation process. This deliberate obfuscation makes it almost impossible to infer users' location from the transmitted data. The analysis demonstrates the resilience of the proposed schemes against sensing trajectory inference attack.

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Section: Attack Models and Assumptionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Privacy Preserving Algorithm for Spectrum Sensing in Cognitive Vehicle Networks

Li,

Hu,

Chen

et al. 2024

Chinese J. Elect.

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“…The key challenge of designing a DSA protocol is to effectively and efficiently handle the multi-channel structure and highly dynamic network resources [2]. Many DSA techniques have been proposed to address this challenge based on classical mathematical algorithms [4]. Among these techniques, the auction-based approach is a promising DSA technique.…”

Section: Related Workmentioning

confidence: 99%

Hermes: Decentralized Dynamic Spectrum Access System for Massive Devices Deployment in 5G

Gao,

Li,

Gao

et al. 2021

Preprint

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With the incoming 5G network, the ubiquitous Internet of Things (IoT) devices can benefit our daily life, such as smart cameras, drones, etc. With the introduction of the millimeter-wave band and the thriving number of IoT devices, it is critical to design new dynamic spectrum access (DSA) system to coordinate the spectrum allocation across massive devices in 5G. In this paper, we present Hermes, the first decentralized DSA system for massive devices deployment. Specifically, we propose an efficient multi-agent reinforcement learning algorithm and introduce a novel shuffle mechanism, addressing the drawbacks of collision and fairness in existing decentralized systems. We implement Hermes in 5G network via simulations. Extensive evaluations show that Hermes significantly reduces collisions and improves fairness compared to the state-of-the-art decentralized methods. Furthermore, Hermes is able to adapt the environmental changes within 0.5 seconds, showing its deployment practicability in dynamic environment of 5G.

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“…The SUs should start transmitting only while the PU is not detected and stop transmitting as soon as possible, preventing collisions and disruption of the SU service. The correct execution of the DSA procedure increases the amount of available bandwidth for the SUs, at the same time 5G networks require more bandwidth [4], [5].…”

Section: Introductionmentioning

confidence: 99%

A Tool for Developing Collaborative Sensing and Cognitive MAC Layer Solutions for 5G in Rural Areas

Ferreira

Barreto

Caetano

et al. 2019

2019 16th International Symposium on Wireless Communication Systems (ISWCS)

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The 5G mobile networks will increase the amount of available spectrum by using new licensed and unlicensed bands. However, most of the newly allocated bandwidth is restricted to higher frequencies, that provides smaller coverage. Lower frequencies, that provide higher ranges, are mostly occupied by either radio or television channels. With the move to digital television, some analog TV channels are available in specific regions, opening the possibility of frequency reuse by third parties. Geolocation databases and collaborative sensing techniques are used to locate and use the available TV Whitespaces (TVWS) for mobile transmission. This paper presents the proposal of a cognitive cycle in the ns-3 simulator (LENA/LTE), which includes collaborative sensing and a cognitive radio resource scheduler. The simulations were done considering a rural area and the results show that the implementation may be useful for further research in developing new solutions for the 5G Cognitive MAC Layer.

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A Survey on Dynamic Spectrum Access for LTE-Advanced

Cited by 8 publications

References 76 publications

Privacy Preserving Algorithm for Spectrum Sensing in Cognitive Vehicle Networks

Privacy Preserving Algorithm for Spectrum Sensing in Cognitive Vehicle Networks

Hermes: Decentralized Dynamic Spectrum Access System for Massive Devices Deployment in 5G

A Tool for Developing Collaborative Sensing and Cognitive MAC Layer Solutions for 5G in Rural Areas

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