New sophisticated solutions are required in next generation networks to provide appropriate quality of service for users. The introduction of small cells in Long Term Evolution (LTE) raises numerous problems along wit...
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ISBN:
(纸本)9781479964970
New sophisticated solutions are required in next generation networks to provide appropriate quality of service for users. The introduction of small cells in Long Term Evolution (LTE) raises numerous problems along with undoubted advantages to the engineers and researchers. In this paper a new handover decision algorithm is described for two-tier macrocell-small cell LTE-Advanced (LTE-A) using network map, i.e. positioning service and additional network provided information. The proposed algorithm processes information on the reported RSSI, the speed of users and the actual load of cells extended with a sliding averaging window on RSSI. Simulation results focus on QoS parameters and show that the new decision procedure ensures higher system throughput and lower delay than the legacy, strongest cell algorithm in most scenarios.
Femtocell deployment will play a key role for the wide adoption of LTE-Advanced, as it brings the access network closer to the end user in a cost-effective manner. This disruptive communication paradigm, however, nece...
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Femtocell deployment will play a key role for the wide adoption of LTE-Advanced, as it brings the access network closer to the end user in a cost-effective manner. This disruptive communication paradigm, however, necessitates the employment of advanced interference and mobility management to cope with the comparably denser yet unplanned network layout. This paper describes an advanced mobility management approach for the two-tier LTE-Advanced network, aiming to resourcefully utilize the femtocell superior characteristics in an energy-efficient and interference-aware manner. The key features of the proposed approach are (a) the exchange and utilization of standard signal quality measurements during the handoverdecision phase, to accurately estimate the mean user equipment (UE) transmit power on a per candidate cell basis, and (b) the use of a novel handover decision algorithm that jointly considers the impact of interference, power consumption, and user mobility. A comprehensive analysis of the required network signaling is provided, while extensive simulation results demonstrate that compared to existing approaches, the proposed approach attains improved performance at the cost of moderate increase of network signaling. (C) 2014 Elsevier B.V. All rights reserved.
The increasing demand for application oriented network Quality of Service (QoS) along with anywhere, anytime paradigm is the major driving force behind recent development in mobile devices. Highly dynamic scenarios su...
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ISBN:
(纸本)9781479950973
The increasing demand for application oriented network Quality of Service (QoS) along with anywhere, anytime paradigm is the major driving force behind recent development in mobile devices. Highly dynamic scenarios such as tracking and monitoring of fast moving vehicles, remote healthcare of patients with diverse location profiles require vertical handover to maintain network connectivity. This need to provide seamless connectivity across multiple wireless access solutions resulted in evolution of Media Independent handovers (IEEE 802.21). With the exponential increase in number of mobile devices with ability to switch across the networks, congestion control has emerged as a critical challenge for all network planners and service providers. This paper introduces an intelligent, congestion aware and media independent handover mechanism for the 4G heterogeneous wireless network. The algorithm embeds device intelligence in terms of making handoverdecisions when network congestion is sensed by the communicating nodes. The decision parameter to select destination network for handover is minimum congestion keeping other QoS parameters within the application specific acceptable limits. The improvements achieved are in terms of reduced latency and increased bandwidth in all situations and in addition to better performance in terms of load, power and cost.
Providing QoS for nomadic hosts remains a critical issue since new emerging wireless technologies may present different behaviours in terms of QoS, security or cost. Within this heterogeneous environment, especially i...
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Currently, there are several wireless networks deployed around the world. Examples include cellular networks, metropolitan area networks, wireless local area networks, and personal area networks. The combination of al...
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Currently, there are several wireless networks deployed around the world. Examples include cellular networks, metropolitan area networks, wireless local area networks, and personal area networks. The combination of all these networks is usually called the beyond 3G (B3G) wireless networks. New state-of-the-art mobile terminals will allow users to freely move and to switch connections among different access networks. This process named vertical handover imposes important technical challenges for the emerging B3G wireless networks. In this paper, first the vertical handover is classified and its difference with the traditional horizontal handover is explained. Our contributions to this research field with focus on the vertical handoverdecision process are mentioned together with a suitable survey of related work in this area.
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