Decision-Theoretic Distributed Channel Selection for Opportunistic Spectrum Access: Strategies, Challenges and Solutions

Xu, Yuhua; Anpalagan, Alagan; Wu, Qihui; Shen, Liang; Gao, Zhan; Wang, Jinglong

doi:10.1109/surv.2013.030713.00189

Cited by 220 publications

(145 citation statements)

References 165 publications

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“…Due to the fact that service providers with high QoS requirements require that access to the shared bands be performed in a more deterministic manner (rather than opportunistic), new licensed spectrum access methods have been offered by the regulatory bodies. In the following subsections, we discuss all the [34] => Decision-theoretic solutions for channel selection and access strategies for OSA system are presented. => A comprehensive review of the SOTA on decision-theoretic solutions to analyse strengths and limitations of each kind of existing decision-theoretic solutions are discussed.…”

Section: Taxonomy Of Spectrum Access Methods and Authorisation Rmentioning

confidence: 99%

“…In [34], the authors analyse the challenges facing OSA schemes, including required interactions among multiple users for dynamic spectrum opportunity detection, trade-off between sequential sensing information, cost and convergence speed, and trade-off between exploitation and exploration in the absence of prior statistical information. In this context, a comprehensive review and comparison of different decisiontheoretic solutions, such as, "game models", "Markovian decision process", "optimal stopping", "multi-armed bandit", and their strengths and limitations are analysed.…”

Section: A) Review Of the State-of-the-art (Sota) Survey Articlesmentioning

confidence: 99%

See 1 more Smart Citation

Licensed Spectrum Sharing Schemes for Mobile Operators: A Survey and Outlook

Tehrani

Vahid

Triantafyllopoulou

et al. 2016

IEEE Commun. Surv. Tutorials

191

119

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The ongoing development of mobile communication networks to support a wide range of superfast broadband services has led to massive capacity demand. This problem is expected to be a significant concern during the deployment of the 5G wireless networks. The demand for additional spectrum to accommodate mobile services supporting higher data rates and having lower latency requirements, as well as the need to provide ubiquitous connectivity with the advent of the Internet of Things (IoT) sector, is likely to considerably exceed the supply, based on the current policy of exclusive spectrum allocation to mobile cellular systems. Hence, the imminent spectrum shortage has introduced a new impetus to identify practical solutions to make the most efficient use of the scarce licensed bands in a shared manner. Recently, the concept of dynamic spectrum sharing has received considerable attention from regulatory bodies and governments globally, as it could potentially open new opportunities for mobile operators to exploit spectrum bands whenever they are underutilised by their owners, subject to service level agreements. Although various sharing paradigms have been proposed and discussed, the impact and performance gains of different schemes can be scenario-specific and vary depending on the nature of the sharing parties, the level of sharing and spectrum access scheme. In this survey, we describe the main concepts of dynamic spectrum sharing, different sharing scenarios, as well as the major challenges associated with sharing licensed bands. Finally, we conclude this survey paper with open research challenges and suggest some future research directions

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Section: Taxonomy Of Spectrum Access Methods and Authorisation Rmentioning

confidence: 99%

Section: A) Review Of the State-of-the-art (Sota) Survey Articlesmentioning

confidence: 99%

Licensed Spectrum Sharing Schemes for Mobile Operators: A Survey and Outlook

Tehrani

Vahid

Triantafyllopoulou

et al. 2016

IEEE Commun. Surv. Tutorials

191

119

View full text Add to dashboard Cite

show abstract

“…In [13], [14], the authors considered adaptive OSA techniques under the collision-protocol model, where users have no CB capabilities. In [15], the SINR-protocol model was used to analyze the performance of autonomous OSA methods for capacity enhancement in multihop cognitive radio networks, again considering that users have no CB capabilities.…”

Section: Related Literaturementioning

confidence: 99%

Distributed and Coordinated Spectrum Access Methods for Heterogeneous Channel Bonding

Khan

Lehtomäki

Scott

et al. 2017

IEEE Trans. Cogn. Commun. Netw.

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Channel bonding (CB) is a technique that enables a wireless link to combine channels and achieve higher data rates. In this paper, competition for efficient spectrum access among autonomous users with heterogeneous CB capabilities is considered. Specifically, we propose distributed and coordinated channel/bonding selection methods under signal-to-interference-plus-noise ratio (SINR) and collisionprotocol models. In our methods, users utilize only limited feedback to distributively arrive at CB selections that minimize their probability of conflict. The proposed method utilizes a novel channel quality metric, which is based on the ratio of noise power to the sum of interference and noise power. It is shown that CB can lead to higher data rates, and it is most beneficial when users have a high SINR. However, it is also shown that as the ratio of users to available channels increases, CB performance degrades. Our results show that under certain scenarios, the proposed coordinated and distributed channel/bonding selection schemes help users converge fast to conflict-free channel selections as compared to the other channel/bonding selection schemes. Moreover, the proposed schemes result in considerably superior performance to existing CB schemes in terms of network data rate.

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“…This general decision function can be particularized for each of the observation strategies selected by the OSDM as follows: a) IM strategy: In this case, the belief vector at the decisionmaking time t is given by (18). Then, by considering (18) and the estimation of the future belief vector given by (14) in the general decision-making function (9), it yields (t) at the decision-making time t given by (13) and its future evolution given by (14), yielding (14) and (15), the general decision-making function (9) becomes…”

Section: ) Spectrum Selection Decision Making (Ssdm)mentioning

confidence: 99%

“…Furthermore, game theory is used in [13] for spectrum selection in the context of a carrier aggregation framework. The applicability of game theory to opportunistic spectrum access is discussed in [14] and the references therein, where the need for acquiring knowledge regarding the statistical behavior of the radio environment is identified as a key requirement. Regarding the acquisition of information about the radio environment, several research works rely on partially observable Markov decision processes (POMDPs) [15] that combine partial observations of the radio environment at specific periods of time with a statistical characterization of the system dynamics.…”

Section: Introductionmentioning

confidence: 99%

A Belief-Based Decision-Making Framework for Spectrum Selection in Cognitive Radio Networks

Perez-Romero

Raschellà

Sallent

et al. 2016

IEEE Trans. Veh. Technol.

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Abstract-This paper presents a comprehensive cognitive management framework for spectrum selection in cognitive radio networks. The framework uses a belief vector concept as a means to predict the interference affecting the different spectrum blocks and relies on a smart analysis of the scenario dynamicity to properly determine an adequate observation strategy to balance the trade-off between achievable performance and measurement requirements. In this respect, the paper shows that the interference dynamics in a given spectrum block can be properly characterized through the second highest eigenvalue of the interference state transition matrix. Therefore, this indicator is retained in the proposed framework as a relevant parameter to drive the selection of both the observation strategy and spectrum selection decision-making criterion. The paper evaluates the proposed framework to illustrate the capability to properly choose among a set of possible observation strategies under different scenario conditions. Furthermore, a comparison against other state-of-the-art solutions is presented.

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Decision-Theoretic Distributed Channel Selection for Opportunistic Spectrum Access: Strategies, Challenges and Solutions

Cited by 220 publications

References 165 publications

Licensed Spectrum Sharing Schemes for Mobile Operators: A Survey and Outlook

Licensed Spectrum Sharing Schemes for Mobile Operators: A Survey and Outlook

Distributed and Coordinated Spectrum Access Methods for Heterogeneous Channel Bonding

A Belief-Based Decision-Making Framework for Spectrum Selection in Cognitive Radio Networks

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