Name
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. |
Year | Venue | Keywords |
|---|---|---|
2011 | EW | prediction algorithms,mathematical model,throughput |
Field | DocType | ISBN |
Wireless network,Window of opportunity,Computer science,Heuristic (computer science),Computer network,Greedy algorithm,Real-time computing,Mobile device,Cellular network,Throughput,Handover | Conference | 978-3-8007-3343-9 |
Citations | PageRank | References |
3 | 0.45 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jimmy Jessen Nielsen | 1 | 156 | 16.82 |
| Tatiana K. Madsen | 2 | 65 | 16.18 |
| Hans-Peter Schwefel | 3 | 3 | 1.81 |
| Hans-Peter Schwefel | 4 | 210 | 42.31 |