Mobility Prediction and Spatial-Temporal Traffic Estimation in Wireless Networks
- 1 May 2008
- conference paper
- Published by Institute of Electrical and Electronics Engineers (IEEE) in 2007 IEEE 65th Vehicular Technology Conference - VTC2007-Spring
- No. 15502252,p. 2203-2207
- https://doi.org/10.1109/vetecs.2008.491
Abstract
An understanding of the network traffic behavior is essential in the evolution of today's wireless networks, and thus leads to a more efficient planning and management of the network's scarce bandwidth resources. Prior reservation of radio resources at the future locations of a user's mobile trajectory can help with optimizing the allocation of the network's limited resources, as well as help with sustaining a desirable level of QoS. The objective of this study is to propose a framework for a mobility prediction model using Markov renewal processes, for computing the likelihoods of the next-cell transition, along with anticipating the duration between the transitions, for an arbitrary user in a wireless network. The proposed technique can also be used to estimate the expected traffic load and activity at each location in a network's coverage area.Keywords
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