Projekter pr. år
Abstract
Mobile users typically experience better connectivity if their mobile device performs handover to an available WiFi network rather than using a cellular network. For a moving user the window of opportunity is limited and the timing of the handover is therefore crucial.
In this work we propose two location-based look-ahead handover prediction algorithms that are based on the assumption that a database of expected throughput for a given location of all networks is available. The first algorithm uses an analytical formulation of the handover problem to determine the optimal sequence of handovers within a time window, which is computationally feasible for up to 3-4 handovers within the window. The second algorithm is a heuristic algorithm, which is computationally feasible for any reasonable number of handovers within the window. We have used simulations to obtain the achieved throughput of these algorithms for a mobile user in an urban scenario with ubiquitous cellular coverage and 250 WiFi APs/km2, and compared the results to a hysteresis-based greedy algorithm and the case of ”always cellular-connected”.
Our results show that the proposed look-ahead algorithms outperform the hysteresis-based and ”always cellular-connected”, but also show that the look-ahead algorithms are highly dependent on accurate movement tracking and movement prediction systems. The heuristic algorithm is also shown to achieve the highest throughput for large look-ahead windows.
In this work we propose two location-based look-ahead handover prediction algorithms that are based on the assumption that a database of expected throughput for a given location of all networks is available. The first algorithm uses an analytical formulation of the handover problem to determine the optimal sequence of handovers within a time window, which is computationally feasible for up to 3-4 handovers within the window. The second algorithm is a heuristic algorithm, which is computationally feasible for any reasonable number of handovers within the window. We have used simulations to obtain the achieved throughput of these algorithms for a mobile user in an urban scenario with ubiquitous cellular coverage and 250 WiFi APs/km2, and compared the results to a hysteresis-based greedy algorithm and the case of ”always cellular-connected”.
Our results show that the proposed look-ahead algorithms outperform the hysteresis-based and ”always cellular-connected”, but also show that the look-ahead algorithms are highly dependent on accurate movement tracking and movement prediction systems. The heuristic algorithm is also shown to achieve the highest throughput for large look-ahead windows.
Originalsprog | Engelsk |
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Titel | Proceedings of European Wireless 2011 |
Forlag | IEEE Press |
Publikationsdato | 29 apr. 2011 |
ISBN (Elektronisk) | 978-3-8007-3343-9 |
Status | Udgivet - 29 apr. 2011 |
Fingeraftryk
Dyk ned i forskningsemnerne om 'Location Assisted Handover Optimization for Heterogeneous Wireless Networks'. Sammen danner de et unikt fingeraftryk.Projekter
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WHERE2: Wireless Hybrid Enhanced Mobile Radio Estimators 2 (WHERE2)
Fleury, B. H., Madsen, T. K., Pedersen, T., Nielsen, J. J., Steinböck, G., Manchon, C. N. & Pedersen, C.
FP7-ICT-2009-4: The Network of the Future
01/07/2010 → 30/09/2013
Projekter: Projekt › Forskning
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WHERE: Wireless Hybrid Enhanced Mobile Radio Estimators (WHERE)
Fleury, B. H., Schwefel, H. C., Nielsen, J. J., Figueiras, J., Pedersen, T. & Yin, X.
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Projekter: Projekt › Forskning