Management of networks and services in a composite radio context

ith the rapid development of wireless network technologies, various wireless network infrastructures have been designed and (partially) deployed, such as cellular networks (2G/2.5G/3G), wireless LAN (IEEE 802.11)/wireless MAN (metropolitan area networks) or WiMAX (worldwide interoperability for microwave access -IEEE 802.16) /MobileFi (IEEE 802.20)/WPAN (wireless personal area networks -IEEE 802.15), and a family of digital video broadcasting (DVB) technologies (i.e., DVB-satellite, DVB-cable, DVB-terrestrial, DVB-handheld). Each of these plays an important role in providing ubiquitous computing and a communication infrastructure upon which services operate. To balance the advantages and disadvantages of different wireless networks, two or more networks with different physical structures integrate to form new network structures, called heterogeneous wireless networks (HWNs). For example, cellular networks can benefit not only from the location management of DVB systems [1], they also can be exploited by WLAN or WiMAX, which can divert traffic in a crowded cellular cell and provide a higher data transmission rate in a cost-effective manner [2]. In practice the heterogeneity in network structures is a typical feature of future mobile wireless networks.The future commercial success of these mobile systems lies in their ability to provide users with cost-effective services. In an increasingly mobilized world, users naturally expect that services or applications will follow them, for example, from office or home to airport or to wherever they are. These services are known for high-speed, content-rich, and burst traffic. Therefore, the QoS (Quality of Service) guarantee is critical to these services. The diversity of the network structures, protocols, and standards in HWNs, combined with even more diverse application services from users, pose big challenges for network integration and service integration.Much research has been performed on the convergence of two types of wireless networks, especially the convergence of cellular networks with WLAN based ad hoc networks [2] and the convergence of cellular networks and DVB networks [1]. The focus is primarily on certain technical aspects of the convergence such as location management, routing, and so on. In this article, we propose a HWN architecture that is composed of three types of wireless access networks: cellular networks, ad hoc networks, and broadcasting networks, and in particular, UMTS (universal mobile telecommunications system), ad hoc WLAN, and DVB-H, respectively -as such, the so-called UWD network. Three networks cooperate and complement each other to support different services and to optimize network resource utilization. Instead of focusing on a specific technical challenge of UWD, we focus on the network architecture and its service-driven adaptation and management. To this end, we utilize a policy-based management (PBM) approach in combination with fuzzy control theory, aiming to maximize the overall effectiveness, flexibility, and robustness of the ne...

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“…Those specific to UWD service provisioning are briefly discussed as follows. For other generic components, refer to the discussion in [7].…”

Section: A Policy-based Qos-aware Service Gateway For Uwd Usg System mentioning

confidence: 99%

A Flexible QoS-aware Service Gateway for Heterogeneous Wireless Networks

2007

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“…Much effort has been also dedicated to the definition of cognitive networks [1,5,6], though none has really managed to come up with a standard definition. Similar to the RAT selection case, the solution of the problem of configuring resources, given the RATs that are used in the network, has been addressed regarding various technologies operating either in a standalone fashion [7,8] or within a B3G environment [9,10]. In addition, research targeted at partitioning the demand between sole UMTS carriers [11] proved such methods necessity also in B3G environments.…”

Section: Introductionmentioning

confidence: 99%

Policies for the reconfiguration of cognitive wireless infrastructures to 3G Radio Access Technologies

2007

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The ceaseless evolution of wireless communications is reflected nowadays on the introduction of Beyond-3G (B3G) systems, characterized by the coexistence and cooperation of various Radio Access Technologies (RATs), over a common infrastructure. Major facilitator of this convergence is the advent of cognitive networks, which deploy elements (base stations and mobile terminals) that are able to proactively adapt to environmental stimuli, so that to optimize their performance. Part of the adaptation action takes place in cognitive base stations that own several reconfigurable transceivers, which are controlled by appropriate management functionality and may dynamically change their operating parameters. Each reconfiguration set includes a specific RAT, carrier frequency, as well as demand volume to be allocated per transceiver. Accordingly, proper evaluation of the various candidate reconfiguration sets appears to be of high significance. To this effect, in this paper we consider a cognitive network segment with transceivers operating at 3G RAT/carrier and we solve the DAMC problem (Demand Allocation into Multiple Carriers problem), which aims at evaluating and selecting the optimum policy to allocate the demand into the available 3G carrier frequencies. Optimality is expressed in terms of minimizing the total transmitted/received power per base station, thus deciding for the reconfigurations with the least impact on network interference. Indicative simulation scenarios and results are also presented for the validation and verification of the proposed functionality.

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“…Networks' interworking imposes cooperation among Network Providers (NPs), so as to jointly handle extreme traffic situations [8], [9], by splitting traffic among their RATs. For this purpose, the whole set of RATs should be deployed in both network segments and terminals a priori.…”

Section: Introductionmentioning

confidence: 99%

Functional Architecture of End-to-End Reconfigurable Systems

Moessner

Luo

Mohyeldin

et al. 2006

2006 IEEE 63rd Vehicular Technology Conference

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-Adaptive networks are envisaged to play a significant part in the future, where the time and space variations in the traffic pattern will necessitate the ability to continuously amend the Radio Access Technologies' (RATs') operating parameters. Reconfiguration of communications systems is a facilitator towards this convergence and enables the dynamic adaptation and optimization of the access characteristics. However, such far ranging optimization concept involves many different mechanisms and work areas. Each of these areas provides an answer to a different optimization problem; Dynamic Network Planning and Management (DNPM) provides a load and demand driven optimization of the radio planning of multiple different networks within a given area. Advanced Spectrum Management (ASM) enables short term use of spectrum for services with higher demand. Finally Joint Radio Resource Management (JRRM) coordinates different access schemes and facilitates a more centralized approach to allocation of radio resource. Each of the schemes optimizes spectrum and radio resource usage on a different time scale. ARRM deals with the rather short term allocation, ASM with more medium term spectrum assignments while DNPM assumes time scales up to the range of weeks or months. Consequently, there is need of combining all working areas in the form of a Functional Architecture (FA), where each module represents a concept, aiming at forming part of the global end-to-end reconfigurability architecture. This paper includes a detailed analysis of the Reconfigurability FA, along with a description of the functionality of each of the modules included therein.

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Management of networks and services in a composite radio context

Cited by 22 publications

References 6 publications

A Flexible QoS-aware Service Gateway for Heterogeneous Wireless Networks

A Flexible QoS-aware Service Gateway for Heterogeneous Wireless Networks

Policies for the reconfiguration of cognitive wireless infrastructures to 3G Radio Access Technologies

Functional Architecture of End-to-End Reconfigurable Systems

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