Mobility prediction-based wireless resource allocation and reservation

Due to the mobility uncertainty of mobile user, it is a real challenge for wireless network to efficiently allocate and reserve resource. Firstly, motivated from a rationale which a good data compressor should be a good predictor, this paper develops a mobility prediction algorithm based on the Ziv-Lempel algorithm, which is both theoretically optimal, and good in practice. Theoretically, the prediction algorithm can predict not only to which cell a mobile user will handoff but also when the handoff will occur. Then, we propose an efficient resource allocation and reservation scheme, called predict-based GC, which integrates the prediction algorithm into the guard channels (GC) policy. The simulation results show that the time-complexity of our proposed scheme (i.e., predict-based GC) is worse, but it outperforms Fixed-percent and ExpectedMax in the QoS support effectiveness.