A survey of MAC issues for TV white space access

Han, You; Ekici, Eylem; Kremo, Haris; Altintas, Onur

doi:10.1016/j.adhoc.2014.11.009

Cited by 21 publications

(8 citation statements)

References 90 publications

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“…Many spectrum sensing techniques have been developed to fulfill the goal, such as energy-based sensing, cyclo-stationary feature-based sensing, compressed sensing, pilot sensing, waveform-based sensing, and radio identification-based sensing [39]. Similarly, in uncoordinated methods, an RF system must be able to identify its neighboring RF systems such that it can devise corresponding spectrum sharing strategies.…”

Section: B Open Research Problems In Uncoordinated Methodsmentioning

confidence: 99%

Spectrum sharing methods for the coexistence of multiple RF systems: A survey

et al. 2016

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Section: B Open Research Problems In Uncoordinated Methodsmentioning

confidence: 99%

Spectrum sharing methods for the coexistence of multiple RF systems: A survey

et al. 2016

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“…" A survey of MAC issues for T V white space access" [40] => A comprehensive survey on MAC-related challenges related to cognitive access of the T VWSs is provided. => Discusses potential approaches to overcoming the challenges, and investigates open research issues.…”

Section: Taxonomy Of Spectrum Access Methods and Authorisation Rmentioning

confidence: 99%

“…In [40], a survey on Medium Access Related (MAC) related issues for TVWS access is provided. The authors discuss potential approaches, including geo-location database and sensing, to addressing these issues and investigate open research issues.…”

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

187

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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“…is model may not be accurate for PUs in a practical environment [13,14], which in turn affects the accuracy of the obtained performance measures. Incorporating more realistic models in the context of cognitive radio is reported as a research challenge [15], to be considered for the future work [12], where the interrupted Poisson process (IPP) is explicitly mentioned as an example.…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of Cognitive Radio Networks with Imperfect Spectrum Sensing and Bursty Primary User Traffic

Salameh

Bruneel

Wittevrongel

2020

Mathematical Problems in Engineering

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In this paper, we introduce a four-dimensional continuous-time Markov chain model to evaluate the performance of cognitive radio networks. In such networks, secondary (unlicensed) users may opportunistically use the frequency channels not currently occupied by primary (licensed) users in order to increase the utilization of the wireless spectrum. Secondary users perform channel sensing before as well as during transmission in order not to interfere with primary users. The proposed model assumes that primary users arrive according to a bursty arrival process and moreover takes the possible occurrence of sensing errors (false alarms and misdetections) into account. Several performance measures including the collision rate between primary and secondary users, the blocking probabilities of primary or secondary users, and the mean delay of secondary users are derived and illustrated through numerical examples. The results show that the system performance strongly depends on the degree of burstiness in the arrival process of primary users. It is also observed that the quality of service of the primary network can be seriously compromised due to misdetection by secondary users.

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A survey of MAC issues for TV white space access

Cited by 21 publications

References 90 publications

Spectrum sharing methods for the coexistence of multiple RF systems: A survey

Spectrum sharing methods for the coexistence of multiple RF systems: A survey

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

Performance Evaluation of Cognitive Radio Networks with Imperfect Spectrum Sensing and Bursty Primary User Traffic

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