Introduction to IEEE P1900.4 Activities

Buljore, S.; Muck, Markus; Martigne, P.; Houze, P.; Harada, Hiroshi; Ishizu, Koji; Holland, Oliver; Mihailović, Andrej; Tsagkaris, Kostas; Sallent, O.; Clemo, Gary; Sooriyabandara, Mahesh; Ivanov, Vladimir; Nolte, Klaus; Stametalos, Makis

doi:10.1093/ietcom/e91-b.1.2

Cited by 39 publications

(17 citation statements)

References 2 publications

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“…The vertical axis represents the Quality of Service (QoS) that defines the level of satisfaction received by the users in the system. The QoS is the probability that a user is neither blocked nor dropped, as defined in (1 The higher the number of mobile users that can be accommodated in a cell, the higher the spectrum efficiency that is achieved. The spectrum sharing gain (∆η) is defined as the increase in the spectrum efficiency of the DSA algorithm over FSA.…”

Section: A) Resultsmentioning

confidence: 99%

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Spectrum sharing and cognitive radio

Harrold

Wang

Beach

et al. 2009

2009 International Conference on Ultra Modern Telecommunications &Amp; Workshops

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Abstract-Spectrum sharing has been the subject of a 3 year research programme organised by the UK's Virtual Centre of Excellence in Mobile and Personal Communications. Cognitive radio was identified as a key enabling technology to allow spectrum to be shared efficiently between terminals and networks. The project has harnessed the skills of 4 UK Universities working together to understand the potential benefits for its industrial members of cognitive radio technology. This paper discusses some of the work that has been carried out by the Mobile VCE researchers in the field of cognitive radio together with some of the key results and conclusions. The central work has developed algorithms that control the dynamic allocation of radio resources between cooperating network operators as well as spectrum access protocols that allow suitably equipped terminals to sense and use free spectrum. Simulation work has shown that a gain in the efficiency of spectrum use is feasible for both types of spectrum sharing.

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Section: A) Resultsmentioning

confidence: 99%

“…The work is now gaining ground in the application arena, such that standardisation activities are underway [1] and regulators are also considering the implications [2].…”

Section: Introductionmentioning

confidence: 99%

Spectrum sharing and cognitive radio

Harrold

Wang

Beach

et al. 2009

2009 International Conference on Ultra Modern Telecommunications &Amp; Workshops

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“…An important advantage of fuzzy logic is that it can be applied transparently in combination with other well-known decision methods, such as multiobjective genetic algorithms [12] and game theoretic approaches [13]. Moreover, proper definition of the linguistic rules can be used to reduce signaling overhead by avoiding the ping-pong phenomenon, that is, when decisions or selections are made and the input variables are not constant but temporarily present regressive behavior.…”

Section: International Journal Of Digital Multimedia Broadcastingmentioning

confidence: 99%

Resource Allocation with MAC Layer Node Cooperation in Cognitive Radio Networks

Merentitis¹,

Triantafyllopoulou²

2010

International Journal of Digital Multimedia Broadcasting

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An algorithm for cooperative Dynamic Spectrum Access in Cognitive Radio networks is presented. The proposed algorithm utilizes Medium Access Control layer mechanisms for message exchange between secondary nodes that operate in license exempt spectrum bands, in order to achieve interference mitigation. A fuzzy logic reasoner is utilized in order to take into account the effect of the coexistence of a large number of users in the interference as well as to cope for uncertainties in the message exchange, caused by the nodes' mobility and the large delays in the updating of the necessary information. The proposed algorithm is applied in Filter Bank Multicarrier, as well as Orthogonal Frequency Division Multiplexing systems, and its performance is evaluated through extensive simulations that cover a wide range of typical scenarios. Experimental results indicate improved behaviour compared to previous schemes, especially in the case of uncertainties that cause underestimation of the interference levels.

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“…Following these activities, IEEE P1900.4 working group was launched in February 2007 to define "building blocks comprising i) network resource managers, ii) device resource managers and iii) the information to be exchanged between the building blocks, for enabling coordinated networkdevice distributed decision making which will aid in the optimization of radio resource usage, including spectrum access control, in heterogeneous wireless access networks" [9]. Different use cases are described in the IEEE P1900.4 working group to give more detailed specification of building blocks of IEEE P1900.4 management system [10]. In this paper, we concentrate on two use cases, that is, Dynamic Spectrum Assignment (DS Assignment) and Dynamic Spectrum Access (DS Access).…”

Section: Introductionmentioning

confidence: 99%

“…To implement use cases, system architecture has been specified in the IEEE P1900.4 working group [10]. In this paper we propose improvements to the IEEE P1900.4 system architecture for better support of DS Assignment and DS Access use cases.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Spectrum Assignment and Access Scenarios, System Architecture, Functional Architecture and Procedures for IEEE P1900.4 Management System

Filin

Ishizu

Murakami

et al. 2008

2008 3rd International Conference on Cognitive Radio Oriented Wireless Networks and Communications (CrownCom 2008)

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Implementing dynamic spectrum assignment and access technologies in heterogeneous wireless networks may lead to considerable improvement in spectrum usage. For this purpose, management system shall be added on top of existing heterogeneous wireless system. IEEE P1900.4 working group has been developing such management system. In this paper, we propose different scenarios for IEEE P1900.4 dynamic spectrum assignment and access use cases. We propose enhancements to IEEE P1900.4 system architecture. Also, we propose functional architecture for IEEE P1900.4 management system. Finally, we propose generic procedures to implement proposed scenarios using proposed system architecture.

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Introduction to IEEE P1900.4 Activities

Cited by 39 publications

References 2 publications

Spectrum sharing and cognitive radio

Spectrum sharing and cognitive radio

Resource Allocation with MAC Layer Node Cooperation in Cognitive Radio Networks

Dynamic Spectrum Assignment and Access Scenarios, System Architecture, Functional Architecture and Procedures for IEEE P1900.4 Management System

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