Radar, TV and Cellular Bands: Which Spectrum Access Techniques for Which Bands?

Paisana, Francisco; Marchetti, Nicola; DaSilva, Luiz A.

doi:10.1109/surv.2014.031914.00078

Cited by 102 publications

(68 citation statements)

References 39 publications

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“…To protect the PUs from interference and to facilitate the users seeking to utilize the spectrum for secondary usage, recent approaches to spectrum sharing have suggested the use of a spectrum manager entity, such as SAS [10]. In SAS based systems multiple independent users may be required to register their information (which can include CB capabilities, location information, etc) and also to inform their subchannel selection decisions to a SAS [10].…”

Section: B the π Sig Methods With Sas Coordinationmentioning

confidence: 99%

“…In SAS based systems multiple independent users may be required to register their information (which can include CB capabilities, location information, etc) and also to inform their subchannel selection decisions to a SAS [10]. In our work, we ask the following question.…”

Section: B the π Sig Methods With Sas Coordinationmentioning

confidence: 99%

“…π Sig utilizes simple binary feedback from a spectrum access system (SAS) [10] to arrive at CB allocations that reduce the likelihood of conflict among users.…”

Section: Introductionmentioning

confidence: 99%

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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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Section: B the π Sig Methods With Sas Coordinationmentioning

confidence: 99%

Section: B the π Sig Methods With Sas Coordinationmentioning

confidence: 99%

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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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“…In [37], the authors investigate techniques including; spectrum sensing, geo-location database, beacon, and database-assisted spectrum sensing which are used for spectrum opportunity detection, highlighting the main as pects of their implementation. A comprehensive qualitative assessment of the viability of each of these techniques for spectrum sharing in three different RATs; radar, TV White Spaces (TVWSs), and cellular systems, is provided.…”

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

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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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“…The authors have considered a circular primary exclusive region (PER) [5] centered at a single PR as the spectrum sharing policy, i.e., STs outside the PER transmits simultaneously. The authors assume a single monostatic radar system, i.e., the transmitter and receiver are co-located, but a practical radar system also contains a bistatic radar, i.e., the transmitter and receiver are separated, and multiple receivers are located [6].…”

Section: Introductionmentioning

confidence: 99%

Performance analysis of secondary networks with multiple primary users for spectrum database system

et al. 2017

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This paper presents the performance evaluation for secondary networks with multiple primary users (PU) with a stochastic geometry approach. On the assumption that the secondary users (SUs) follow a Poisson hole process, we derive a PU's outage probability (OP) and SU's area spectral efficiency (ASE), where the PU's OP and SU's ASE are defined as the probability that the aggregate interference at a PU from transmitting SUs exceeds a threshold and the product of the transmitting SU's density and the SU's average throughput, respectively. The theoretical results agree with the simulation results, and these results show that both the PU's OP and SU's ASE decrease along with the primary exclusive region (PER) size, i.e., we quantitatively evaluate the trade-off between the PU's OP and SU's ASE.

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Radar, TV and Cellular Bands: Which Spectrum Access Techniques for Which Bands?

Cited by 102 publications

References 39 publications

Distributed and Coordinated Spectrum Access Methods for Heterogeneous Channel Bonding

Distributed and Coordinated Spectrum Access Methods for Heterogeneous Channel Bonding

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

Performance analysis of secondary networks with multiple primary users for spectrum database system

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