Abstract
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.
This work is supported by National Natural Science Foundation of China (No.90304004), National Hi-tech Research and Development Program of China (863 Program) (No.2003AA121540), the Ministry of Education (No. 204125), the Education Council of Chongqing (No. 050309), and the Science and Technology Council of Chongqing (No. 8061).
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Yang, X., Chen, Q., Mao, Y., Long, K., Ma, B. (2004). Mobility Prediction-Based Wireless Resource Allocation and Reservation. In: Chi, CH., Lam, KY. (eds) Content Computing. AWCC 2004. Lecture Notes in Computer Science, vol 3309. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30483-8_1
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DOI: https://doi.org/10.1007/978-3-540-30483-8_1
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