IEEE P1900.4 System Overview on Architecture and Enablers for Optimised Radio and Spectrum Resource Usage

Buljore, S.; Merat, V.; Harada, Hiroyuki; Filin, Stanislav; Houze, P.; Tsagkaris, Kostas; Ivanov, Vladimir; Nolte, Klaus; Farnham, Tim; Holland, Oliver

doi:10.1109/dyspan.2008.33

Cited by 12 publications

(9 citation statements)

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“…IEEE P1900.4 (Architectural Building Blocks Enabling Network‐Device Distributed Decision Making for Optimized Radio Resource Usage in Heterogeneous Wireless Access Networks) : This standard is for radio systems with multiple RATs . The end terminal users are considered to be supporting multiple RATs and with some CR capabilities such as flexible operations in different frequency bands.…”

Section: Cognitive Radio Standardizationmentioning

confidence: 99%

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Evolution and future trends of research in cognitive radio: a contemporary survey

Hossain

Niyato

Kim

2013

Wirel. Commun. Mob. Comput.

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The cognitive radio (CR) paradigm for designing next‐generation wireless communications systems is becoming increasingly popular, and different aspects of it are being implemented in currently available wireless systems. In the last decade, a significant amount of research efforts has been made to solve CR challenges, and several standards related to CR and dynamic spectrum access have been developed. Also, there have been advances in software‐defined radio platforms to implement the CR systems. In this article, we provide a comprehensive survey on the evolution of CR research covering aspects such as spectrum sensing, measurements and statistical modeling of spectrum usage, physical layer aspects such as waveform and modulation design, multiple access, resource allocation and power control, cognitive learning, adaptation and self‐configuration, multihop transmission and routing, and robustness and security in CR networks. Also, state‐of‐the‐art research on the economics of CR networks, CR simulation tools, testbeds and hardware prototypes, CR applications, and CR standardization efforts is summarized. Emerging trends on CR research and open research challenges related to the cost‐effective and large‐scale deployment of CR systems are outlined. Copyright © 2013 John Wiley & Sons, Ltd.

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Section: Cognitive Radio Standardizationmentioning

confidence: 99%

“…This standard is for radio systems with multiple RATs [258,259]. The end terminal users are considered to be supporting multiple RATs and with some CR capabilities such as flexible operations in different frequency bands.…”

Section: Ieee P19004 (Architectural Building Blocks Enabling Networkmentioning

confidence: 99%

Evolution and future trends of research in cognitive radio: a contemporary survey

Hossain

Niyato

Kim

2013

Wirel. Commun. Mob. Comput.

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“…The series is composed of six standards defining terminology and concepts (IEEE P1900.1), recommended practice for interference and coexistence analysis (IEEE P1900.2), dependability and evaluation of regulatory compliance (IEEE P1900.3), architectural building blocks (IEEE P1900.4 [88]), policy language and policy architectures (IEEE P1900.5), as well as spectrum sensing aspects (P1900.6).…”

Section: Standardization Activitiesmentioning

confidence: 99%

Spectrum Usage Models for the Analysis, Design and Simulation of Cognitive Radio Networks

López-Benítez

Casadevall

2012

Lecture Notes in Electrical Engineering

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ADVERTIMENT. La consulta d'aquesta tesi queda condicionada a l'acceptació de les següents condicions d'ús: La difusió d'aquesta tesi per mitjà del servei TDX (www.tesisenxarxa.net) ha estat autoritzada pels titulars dels drets de propietat intel·lectual únicament per a usos privats emmarcats en activitats d'investigació i docència. No s'autoritza la seva reproducció amb finalitats de lucre ni la seva difusió i posada a disposició des d'un lloc aliè al servei TDX. No s'autoritza la presentació del seu contingut en una finestra o marc aliè a TDX (framing). Aquesta reserva de drets afecta tant al resum de presentació de la tesi com als seus continguts. En la utilització o cita de parts de la tesi és obligat indicar el nom de la persona autora.ADVERTENCIA. La consulta de esta tesis queda condicionada a la aceptación de las siguientes condiciones de uso: La difusión de esta tesis por medio del servicio TDR (www.tesisenred.net) ha sido autorizada por los titulares de los derechos de propiedad intelectual únicamente para usos privados enmarcados en actividades de investigación y docencia. No se autoriza su reproducción con finalidades de lucro ni su difusión y puesta a disposición desde un sitio ajeno al servicio TDR. No se autoriza la presentación de su contenido en una ventana o marco ajeno a TDR (framing). Esta reserva de derechos afecta tanto al resumen de presentación de la tesis como a sus contenidos. En la utilización o cita de partes de la tesis es obligado indicar el nombre de la persona autora. WARNING.On having consulted this thesis you're accepting the following use conditions: Spreading this thesis by the TDX (www.tesisenxarxa.net) service has been authorized by the titular of the intellectual property rights only for private uses placed in investigation and teaching activities. Reproduction with lucrative aims is not authorized neither its spreading and availability from a site foreign to the TDX service. Introducing its content in a window or frame foreign to the TDX service is not authorized (framing). This rights affect to the presentation summary of the thesis as well as to its contents. In the using or citation of parts of the thesis it's obliged to indicate the name of the author Essentially, all models are wrong, but some are useful.George E. P. BoxTo my beloved family for their unconditional love and support.A mi querida familia por su cariño y apoyo incondicionales. 0 ABSTRACTThe owned spectrum allocation policy, in use since the early days of modern radio communications, has been proven to effectively control interference among radio communication systems and simplify the design of hardware for use at a known and fixed range of frequencies. However, the overwhelming proliferation of new operators, innovative services and wireless technologies during the last years has resulted, under this static regulatory regime, in the depletion of all spectrum bands with commercially attractive radio propagation characteristics. The vast majority of spectrum regarded as usable has already been allocated, thus...

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“…Previously, we have proposed an intelligent mobility optimization RAT selection approach in [14] and an intelligent power efficient RAT selection approach in [15]. In this paper, we extend our earlier work on the proposed intelligent mobility optimization approach in [14] and propose an intelligent hybrid cheapest cost RAT selection approach [16] which also uses the IEEE P1900.4 Protocol [17] to enable communication between the UTs and the different wireless networks. The proposed approach also aims to improve the RRM in heterogeneous wireless networks.…”

Section: Introductionmentioning

confidence: 97%

“…Distributed RAT selection algorithms do not consider network preferences and policies. In this section, we present the intelligent hybrid RAT selection approach for mobility optimization [14] and propose an intelligent hybrid cheapest cost RAT selection approach which uses the IEEE P1900.4 Protocol [17] Figure 1. A mobility optimization RAT selection approach Different users can be in different velocity types such as low, medium or high mobility.…”

Section: Proposed Intelligent Hybrid Rat Selection Approachesmentioning

confidence: 99%

Intelligent Hybrid Cheapest Cost and Mobility Optimization RAT Selection Approaches for Heterogeneous Wireless Networks

Sabbagh¹,

Braun²

2014

JNW

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Abstract-The evolution of wireless networks has led to the deployment of different Radio Access Technologies (RATs) such as UMTS Terrestrial Radio Access Network (UTRAN), Long Term Evolution (LTE), Wireless Local Area Network (WLAN) and Mobile Worldwide Interoperability for Microwave Access (WiMAX) which are integrated through a common platform. Common Radio Resource Management (CRRM) was proposed to manage radio resource utilization in heterogeneous wireless networks and to provide the required Quality of Service (QoS) for allocated calls. RAT selection algorithms are an integral part of the CRRM algorithms. Their role is to decide, when a new or Vertical Handover (VHO) call is requested, which of the available RATs is most suitable to fit the need of the incoming call and when to admit them. This paper extends our earlier work on the proposed intelligent mobility optimization and proposes an intelligent hybrid cheapest cost RAT selection approach which aims to increase users' satisfaction by allocation users that are looking for cheapest cost connections to a RAT that offers the cheapest cost of service. A comparison for the performance of centralized loadbalancing, proposed and distributed cheapest cost and mobility optimization algorithms is presented. Simulation results show that the proposed intelligent algorithms perform better than the centralized load-balancing and the distributed algorithms.

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IEEE P1900.4 System Overview on Architecture and Enablers for Optimised Radio and Spectrum Resource Usage

Cited by 12 publications

References 1 publication

Evolution and future trends of research in cognitive radio: a contemporary survey

Evolution and future trends of research in cognitive radio: a contemporary survey

Spectrum Usage Models for the Analysis, Design and Simulation of Cognitive Radio Networks

Intelligent Hybrid Cheapest Cost and Mobility Optimization RAT Selection Approaches for Heterogeneous Wireless Networks

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