A Handoff Scheme Using Movement Prediction in Radio over Fiber Indoor Network at 60 GHz

In‐home networking is becoming a reality. New multimedia applications envisaged for indoor networks require data rate of up to several gigabits per second. In order to meet such a demand for high data rate unlicensed spectrum of 5GHz around 60GHz band is being considered for a potential choice. This pico cellular infrastructure also helps in reducing the interference; at the same time, it is a cause for high deployment cost. Radio‐over‐fiber infrastructure is an obvious choice to feed this last mile high data rate links. The combination of radio‐over‐fiber and 60GHz wireless links, which is known as hybrid Fi‐Wi, is a promising solution to offer high data rate indoor networking. Because of smaller cell size, handoffs between these small cells occur frequently in such a hybrid network. Because of smaller overlapping area between neighbouring cells, guaranteeing quality of service in this network is highly difficult compared with the traditional wireless cellular networks. Thus, resource management in such network is a challenging task. In indoor environments, techniques such as hidden Markov models can be employed to predict movements with high degree of accuracy. In this article, we propose a handoff scheme that utilises movement prediction to reserve bandwidth in only potential target cells before each handoff is initiated. The simulation results show that the proposed scheme performs better than the two other schemes from the literature in terms of the call dropping probability and the call blocking probability. Copyright © 2014 John Wiley & Sons, Ltd.

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“…To evaluate the proposed scheme, we developed a simulator written in C++ similar to . The floor plan is given in Figure (a).…”

Section: Simulation and Resultsmentioning

confidence: 99%

“…† † A part of this work appears in the Proceedings of the 2011 IEEE Workshops of International Conference on Advanced Information Networking and Applications (PAEWN 2011), IEEE AINA 2011, pp. 664–669, 2011 .…”

mentioning

confidence: 99%