User's Profile-Driven Resource Reservation for WiMAX Networks.
ABSTRACT This work presents an algorithm that aims at maximizing the network efficiency while meeting QoS requirements for different classes of users mobile in a scenario that supports the integration of wireless broadband networks such as WiMAX. The presented algorithm exploits the behavior of the mobile user, depicted in a user profile, for (i) refining the set of cells foreseen for the next handover process, taking into account the class of user as well as both the service and the network contexts, and (ii) proactive reserving resources for the cell chosen for the next handover. This algorithm is validated through an extensive simulation approach, corroborating the expected improvements.
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ABSTRACT: In the next-generation wireless network, user profiles such as the location, the velocity (both speed and direction), and the resource requirements of the mobile device can be accurately determined and maintained by the network on a per-user basis. We investigate the design of a Differentiated-Services architecture which exploits user profiles to maximize the network efficiency and which supports differentiated services classes, each with different quality-of-service (QoS) guarantees. In this paper, we provide implementation details of such an architecture for the Third-Generation Partnership Project (3GPP) network. The key underlying primitive of the architecture is the use of user profiles to perform advance resource reservation in target cells of the wireless cellular network. We identify the design tradeoffs and present performance results for an architecture consisting of two service classes, namely (1) a higher-cost profiled service with higher QoS, and (2) a lower-cost non-profiled service with best-effort QoS. Our analysis indicates that a significant decrease in the dropping probability - and, hence, higher QoS - can be guaranteed to users who subscribe to the profiled service. We examine the tradeoffs associated with some of the key system parameters including the reservation distance and the reservation granularity, and we determine their values which maximize the improvement in the dropping probability for all users.
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ABSTRACT: IEEE 802.16e wireless metropolitan area networks refers to the new standard for broadband wireless access (BWA), which targets to support wireless Internet service up to 2 Mbps. Existing draft version of standard proposes OFDM(A)-based handover process system, which consists of network topology acquisition, scanning, initial ranging, authorization, and registration. Since various researcher groups and companies have done each part of standardization work, there exist some unclear parts and redundant processes, especially in HO process. For instance, HO initiation timing is not clearly defined and unnecessary neighboring base station (BS) scanning and association are performed before and during HO process. These redundant processes causes a long HO operation time, which makes severe degradation in system performance. In this paper, fast HO algorithm is proposed to reduce HO operation delay. Target BS estimation algorithm using mean CINR and arrival time difference reduces unnecessary neighboring BS scanning. And some redundant work during network topology acquisition and scanning process is abbreviated as well. The performance analysis validates the efficiency of the proposed algorithm.Wireless Pervasive Computing, 2006 1st International Symposium on; 02/2006
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ABSTRACT: To meet the growing demand for broadband wireless connectivity, integrating 3G and IEEE 802.16 networks is a clear and viable solution. To the best of the authors' knowledge, this is the first solution proposed for the integration of 3G and 802.16 wireless networks. We present a novel network and mobile client architecture that provides seamless roaming and mobility while maintaining connectivity across these heterogeneous wireless networks and provides quality of service (QoS) support. To provide QoS support to the application in the integrated network environment, the proposed architecture incorporates the procedures for activating a QoS session, the translation between network-specific QoS classifications, and network and session layer QoS support. We provide simulation results that show the viability and performance of the proposed QoS architecture.Quality of Service in Heterogeneous Wired/Wireless Networks, 2005. Second International Conference on; 09/2005