Cognitive Management Strategies for Dynamic Spectrum Access

Raschellà, Alessandro; Militano, Leonardo; Araniti, Giuseppe; Orsino, Antonino

doi:10.1007/978-981-10-1389-8_16-1

Cited by 4 publications

(3 citation statements)

References 22 publications

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“…Furthermore, from the figure we can observe that in terms of Dissatisfaction, both games also obtain a result close to the one achieved through the optimal approach. Finally, the figure shows the 95% confidence interval bounds [41] for different values of flows, which confirms the low variability of the proposed solution.…”

Section: Performance Of the Ap Allocationsupporting

confidence: 69%

A dynamic access point allocation algorithm for dense wireless LANs using potential game

et al. 2020

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Section: Performance Of the Ap Allocationsupporting

confidence: 69%

A dynamic access point allocation algorithm for dense wireless LANs using potential game

et al. 2020

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“…Many devices and data streams are connected to the same access point with the same selected channel. e design of the method for channel allocation needs to take into account a spectrum sensing to obtain availability information from the radio environment for each associated device [3][4][5][6][7]. e spectrum sensing method helps to measure individual parameters, for instance, the intensity of the received signal (received signal strength (RSS)), the interference from surrounding devices, and their communication channels currently in use.…”

Section: Spectrum Allocation In Modern Wireless Networkmentioning

confidence: 99%

Smart Radio Resource Management for Content Delivery Services in 5G and Beyond Networks

Neznik

Dobos

Papaj

2020

Mobile Information Systems

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In 5G networks, the spectrum allocation techniques play a very important part of the quality of content delivery services. The processes of channelling and device selection are important in the 5G technology and beyond with many access devices in networks to improve the quality of services. In this paper, we propose a method based on Fuzzy Logic, Game Theory, and Smart Method (which is a combination of Fuzzy Logic and Game Theory). These methods are suitable to improve the speed and quality of links of data routing in networks. The paper shows that effective spectrum allocation to devices is not an option but a requirement in a huge data flow environment of the wireless communications, if one wants to ensure acceptable speed and quality of the connection and to provide adequate quality of the services. Each of the selected methods for radio resource management has some advantages and disadvantages in the evaluation of results. The paper describes the process of channel allocation with different methods for IEEE 802.11xx networks that are in the focus of our research in the sphere of wireless communication. Companies use cloud computing to provide services and to share information, but there needs to be some radio resource management to effectively use the services in the wireless mobile environment because the number of different types of devices being connected to the wireless networks to create smart homes and smart cities is growing.

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“…here 0<η<1 is a parameter to be selected. Furthermore, this paper considers γ = 95%, so that the term ‫ݖ‬ ሺଵିఊሻ/ଶ in (8) and ( 9) equals 1.96 [18]. Note that lower values of η enable us to improve the asymptotic reliability at the expense of the time needed to get condition (10).…”

Section: A Validation Of Data Collectionmentioning

confidence: 99%

Evaluation of Channel Assignment Algorithms in a Dense Real World WLAN

Raschellà

Mackay

Bouhafs

et al. 2019

2019 4th International Conference on Computing, Communications and Security (ICCCS)

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This paper addresses the problem of Access Point (AP) channel assignment in dense IEEE 802.11 Wireless Local Area Networks (WLANs) implemented in a real world scenario, based on a housing complex located in Oslo, Norway. Currently, the APs composing this housing complex are centrally configured through a channel selection approach based on a genetic algorithm that aims to minimize the cumulative interference experienced by each AP. In this work, we present the performance of an alternative channel assignment algorithm in comparison to the existing genetic one. More specifically, the algorithm investigated in this work aims to minimize a networkwide parameter called interference impact, which represents the interference caused by an AP to all the other APs in the neighbourhood. Moreover, the algorithm is implemented using the spectrum programming architecture Wi-5 based on Software-Defined Networking (SDN). Although the benefits of this algorithm have been demonstrated in simulated environments, this work presents its first evaluation in a dense real world scenario. The performance analysis illustrates the important gains obtained in terms of the data transmissions quality through the proposed algorithm compared against the AP channel selection approach currently implemented in the considered scenario.

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Cognitive Management Strategies for Dynamic Spectrum Access

Cited by 4 publications

References 22 publications

A dynamic access point allocation algorithm for dense wireless LANs using potential game

A dynamic access point allocation algorithm for dense wireless LANs using potential game

Smart Radio Resource Management for Content Delivery Services in 5G and Beyond Networks

Evaluation of Channel Assignment Algorithms in a Dense Real World WLAN

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