Mobility Prediction in Wireless Network Environments
Summary
Mobility prediction encompasses techniques to forecast the future positions and movement patterns of users in wireless networks, enabling proactive management of scarce radio resources and seamless service continuity. As mobile devices traverse cells in cellular or heterogeneous environments, accurate prediction of handoff events and dwell times underpins adaptive resource reservation, call admission control and quality-of-service guarantees. Advances in machine learning, stochastic modelling and protocol signalling have progressively refined the trade-off between prediction accuracy and resource wastage, especially in emerging 5G and vehicular scenarios. By anticipating user trajectories, networks can pre-allocate bandwidth, reduce call dropping probability and optimise spectrum utilisation, thereby supporting latency-sensitive applications such as autonomous vehicles, immersive media and massive Internet of Things deployments.
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Mobility Prediction in Wireless Network Environments publication trend
The graph below shows the total number of articles in mobility prediction in wireless network environments across all publications each year (not limited to Nature Index journals).
Technical terms
Mobility prediction: Forecasting the future locations or trajectories of mobile users in wireless network environments to optimise resource allocation and handoff management.
Hidden Markov chain: A statistical model representing systems with unobserved (hidden) states, used to infer probable future states based on observed sequences of user movement.
Cell dwell time: The duration a mobile user remains within the coverage area of a particular base station or cell.
Resource reservation: The process of pre-allocating bandwidth or other network resources to support anticipated user mobility and ensure seamless service continuity.
NSIS (Next Steps in Signalling): A protocol framework for end-to-end Quality of Service signalling in integrated network architectures, supporting mobility-aware resource reservation and admission control.
References
- A New Markovian Prediction Scheme for Resource Reservations in Wireless Networks with Mobile Hosts. Advances in Electrical and Electronic Engineering (2012).
- A Stochastic Approach for Resource Prediction Error and Bandwidth Wastage Evaluation in Advanced Dynamic Reservation Strategies. IEEE Transactions on Mobile Computing (2022).
- Advanced Resources Reservation in Mobile Cellular Networks: Static vs. Dynamic Approaches under Vehicular Mobility Model. Telecom (2021).
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