A Novel Location Management Scheme for Cellular Overlay Networks

Morris, D.; Aghvami, A.H.

doi:10.1109/tbc.2005.860534

Cited by 14 publications

(9 citation statements)

References 19 publications

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“…In mobile broadcasting, such as the case we are considering, we need to consider whom the broadcaster should be and the scope of the broadcast. Our system does not need the information of peer location as proposed in [19].…”

Section: Related Workmentioning

confidence: 99%

Broadcast-Based Peer-to-Peer Collaborative Video Streaming Among Mobiles

Leung

Chan

2007

IEEE Trans. on Broadcast.

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Abstract-In traditional mobile streaming networks such as 3G cellular networks, all users pull streams from a server. Such pull model leads to high streaming cost and problem in system scalability. In this paper, we propose and investigate a fully distributed, scalable, and cost-effective protocol to distribute multimedia content to mobiles in a peer-to-peer manner. Our protocol, termed Collaborative Streaming among Mobiles (COSMOS), makes use of broadcasting and data sharing to achieve high performance (in terms of delay, cost fairness, stream continuity, etc.). In COSMOS, only a few peers pull video descriptions from base stations. Using a free broadcast channel (such as Wi-Fi and Bluetooth), they share the streams to nearby neighbors. As a result, COSMOS greatly reduces the streaming cost and cellular bandwidth requirement. Furthermore, as video streams are supplied by multiple peers, COSMOS is robust to peer failure. Since broadcasting is used to distribute video data, COSMOS is highly scalable to large number of users. In COSMOS, peers autonomously determine whether to broadcast packets or not in order to efficiently use of the channel bandwidth. By taking turns to pull descriptions, peers can effectively share, and hence substantially reduce, streaming cost. As broadcast scope is small and peers can often obtain a number of streams from its neighbors, COSMOS achieves low delay and excellent stream continuity.

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Section: Related Workmentioning

confidence: 99%

Broadcast-Based Peer-to-Peer Collaborative Video Streaming Among Mobiles

Leung

Chan

2007

IEEE Trans. on Broadcast.

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“…Since the HLR is connected to many VLRs, it has heavy signaling traffics [4][5][6]. The super location area (SLA) [7], a group of LAs, has been proposed for hierarchical networks to reduce the location update cost of the HLR.…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of the Optimal Hierarchy for Cellular Networks

Park

Shin

et al. 2007

Computational Science – ICCS 2007

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Abstract.Reducing the location update cost has been a critical research issue since the location update process requires heavy signaling traffics. One of the solutions is employing the hierarchical structure in cellular networks to reduce the location update cost. This paper is not only to measure the average location update cost in cellular networks using the hierarchical structure but also to determine the degree of the hierarchy which minimizes the location update cost. The paper proposes an advanced analytical model to obtain the optimal hierarchy in cellular networks, considering the update rates of the two registers, HLR and VLR, as well as the update delays for them. Also, the paper provides the threshold values as a guideline for the network administrator to design the optimal hierarchical structure in cellular networks.

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“…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.…”

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confidence: 99%

“…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.…”

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confidence: 99%

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A Flexible QoS-aware Service Gateway for Heterogeneous Wireless Networks

2007

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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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A Novel Location Management Scheme for Cellular Overlay Networks

Cited by 14 publications

References 19 publications

Broadcast-Based Peer-to-Peer Collaborative Video Streaming Among Mobiles

Broadcast-Based Peer-to-Peer Collaborative Video Streaming Among Mobiles

Performance Evaluation of the Optimal Hierarchy for Cellular Networks

A Flexible QoS-aware Service Gateway for Heterogeneous Wireless Networks

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