Spectrum sharing using licensed shared access: the concept and its workflow for LTE-advanced networks

Matinmikko, Marja; Okkonen, Hanna; Palola, Marko; Yrjölä, Seppo; Ahokangas, Petri; Mustonen, Miia

doi:10.1109/mwc.2014.6812294

Cited by 102 publications

(73 citation statements)

References 4 publications

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“…The spectrum occupancy in 20MHz-to-3GHz was found to be 32% for indoor scenarios (in the case of outdoor, however, almost 100%, of this range is utilised), and very low in 3-to-6GHz [136], [62]. Such results highlight the fact that the LSA framework, can allow co-existence of one/multiple MNOs with incumbent systems to dynamically exploit under-utilised licensed spectrum in a shared manner [137]. In fact, this framework as a promising type of licensed sharing schemes [138], has attracted considerable attention.…”

Section: Licensed Shared Access (Heterogeneous Sharing Players)mentioning

confidence: 87%

“…In LSA framework, a non-mobile wireless service provider, which could be a governmental/commercial [15], [85], [133] => Game-theory based approach => Cooperative games performs based on presharing agreements among MNOs + No need for real-time inter-MNO information sharing -Efficient and fair policies are complex to implement [87], [88], [97] incumbent, agrees to share part of its exclusive band with one or multiple MNOs, referred to as LSA licensees [48]. The framework was introduced with the aim of offering promising opportunities for the capacity and bandwidth expansion in cellular systems [137]. The initial target bands of LSA comprise the sub-6GHz such as 2.3-2.4GHz (in Europe), and 3.5GHz (in the US) that are already owned and used by military and also Program Making and Special Events (PMSE), [2], [52], [141].…”

Section: A Overview Of Lsa Frameworkmentioning

confidence: 99%

“…In contrast, in LSA, depending on the type of incumbent, the bands usually become available for a rather longer time intervals (typically several months/years) or wider geographical areas. Thus, the MNOs will be able to develop a clear business plan for the shared bands resulting in predictable revenue [137]. As an example, military as a governmental incumbent, can introduce specific exclusion zones (temporal and/or geographical restriction) on a long-term basis.…”

Section: A Overview Of Lsa Frameworkmentioning

confidence: 99%

“…In the mobile cellular network side, an additional management entity referred to as LSA controller, has been introduced to interact with the LSA repository through a reliable interface [143]. The LSA controller is responsible for handling the resource request/evacuation procedure among the Operation, Administration and Management (OAM) section in the mobile network and the LSA repository [52], [137].…”

Section: B Deployment Requirementsmentioning

confidence: 99%

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

Tehrani

Vahid

Triantafyllopoulou

et al. 2016

IEEE Commun. Surv. Tutorials

184

117

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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: Licensed Shared Access (Heterogeneous Sharing Players)mentioning

confidence: 87%

Section: A Overview Of Lsa Frameworkmentioning

confidence: 99%

Section: A Overview Of Lsa Frameworkmentioning

confidence: 99%

Section: B Deployment Requirementsmentioning

confidence: 99%

See 2 more Smart Citations

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

Tehrani

Vahid

Triantafyllopoulou

et al. 2016

IEEE Commun. Surv. Tutorials

184

117

View full text Add to dashboard Cite

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“…However, there are significant differences between auction mode and the focus of our work. For example, in auction mode network operators are not assumed to claim back the leased spectrum within a single trading window during busy intervals [30]; whereas in our approach, the leased capacity is dynamic in size. To the best of our knowledge, the proposed post-optimization analysis in this paper is the first to study the blocking probability during a trading window with the presence of multiple operators.…”

Section: B Related Workmentioning

confidence: 99%

Dynamic Spectrum Sharing Optimization and Post-Optimization Analysis With Multiple Operators in Cellular Networks

Asaduzzaman

Abozariba

Patwary

2018

IEEE Trans. Wireless Commun.

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Dynamic spectrum sharing aims to provide secondary access to under-utilised spectrum in cellular networks. The main aim of the paper is twofold. Firstly, secondary operator aims to borrow spectrum bandwidths under the assumption that more spectrum resources exist considering a merchant mode. Two optimization models are proposed using stochastic and optimization models in which the secondary operator (i) spends the minimal cost to achieve the target grade of service assuming unrestricted budget or (ii) gains the maximal profit to achieve the target grade of service assuming restricted budget.Results obtained from each model are then compared with results derived from algorithms in which spectrum borrowings are random. Comparisons showed that the gain in the results obtained from our proposed stochastic-optimization framework is significantly higher than heuristic counterparts. Secondly, post-optimization performance analysis of the operators in the form of blocking probability in various scenarios is investigated to determine the probable performance gain and degradation of the secondary and primary operators respectively. We mathematically model the sharing agreement scenario and derive the closed form solution of blocking probabilities for each operator. Results show how the secondary operator perform in terms of blocking probability under various offered loads and sharing capacity.

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