Impact of Handover Between UMTS and GPRS on TCP/IP: An Empirical Approach

Gómez, Carles; Catalán, Miguel; Figueras, X.; Paradells, Josep; Calveras, Anna

doi:10.1109/vtcf.2006.561

Cited by 3 publications

(1 citation statement)

References 14 publications

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“…Web QoE has also been shown to be affected by handovers, with most web sessions abandonned in presence of handovers [16]. IP-level measurements confirm these results as well, showing disconnections that can reach tens of seconds [17]. Accordingly, handovers play a critical role on customers satisfaction and need to be properly handled.…”

Section: Handovers In Cranmentioning

confidence: 73%

On User Mobility in Dynamic Cloud Radio Access Networks

Naboulsi

Mermouri

Stanica

et al. 2018

IEEE INFOCOM 2018 - IEEE Conference on Computer Communications

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The development of virtualization techniques enables an architectural shift in mobile networks, where resource allocation, or even signal processing, become software functions hosted in a data center. The centralization of computing resources and the dynamic mapping between baseband processing units (BBUs) and remote antennas (RRHs) provide an increased flexibility to mobile operators, with important reductions of operational costs. Most research efforts on Cloud Radio Access Networks (CRAN) consider indeed an operator perspective and network-side performance indicators. The impact of such new paradigms on user experience has been instead overlooked. In this paper, we shift the viewpoint, and show that the dynamic assignment of computing resources enabled by CRAN generates a new class of mobile terminal handover that can impair user quality of service. We then propose an algorithm that mitigates the problem, by optimizing the mapping between BBUs and RRHs on a time-varying graph representation of the system. Furthermore, we show that a practical online BBU-RRH mapping algorithm achieves results similar to an oracle-based scheme with perfect knowledge of future traffic demand. We test our algorithms with two large-scale real-world datasets, where the total number of handovers, compared with the current architectures, is reduced by more than 20%. Moreover, if a small tolerance to dropped calls is allowed, 30% less handovers can be obtained.

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Section: Handovers In Cranmentioning

confidence: 73%