Mobile users have not been able to exploit spatio-temporal differences between individual mobile networks operators for a variety of reasons. End user network switching and multihoming are two promising mechanisms that could allow such exploitation. However these mechanisms have not been thoroughly explored at a general system level with QoE metrics. Therefore, in this work we analyze these mechanisms in a variety of diverse scenarios through a system level model based on an agent based modeling framework. In terms of results, we find that in all scenarios end user network switching provides significant benefits in terms of both throughput and mean opinion score as the number of available networks increases. However, contrastingly, end user multihoming in most scenarios does not provide significant benefits over network switching given the same number of available networks. The major reason is inefficient radio resource allocation resulting from individual networks not taking the multihoming nature of end users into account. Though, in low user density situations this inefficiency is not a problem and multihoming does provide increased throughput though not increased mean opinion scores. Finally, scenarios that vary the fraction of users adopting multihoming suggests that both early and late adopters will have similar gains over users not adopting multihoming. Thus the adoption dynamics of multihoming appear favorable. Overall, the results support the applicability of end user network switching for improving mobile user experience and the applicability of end user multihoming in more limited situations.
Bibliographical noteFunding Information:
This work of Benjamin Finley was supported by the EMERGENT Project ( http://emergent.comnet.aalto.fi/ ). The work of Arturo Basaure was supported by Fondecyt project # 11170100. We also want to thank Kalevi Kilkki, Heikki Hämmäinen, Antti Oulasvirta, Jukka Manner, Pasi Lassila, Alexandr Vesselkov, and Jaume Benseny for providing comments and feedback on this work.
© 2017 Elsevier B.V.
- Agent based modeling
- Allocative efficiency
- Network switching
- User driven competition