Abstract
In this paper, we formulate the combined handoff and channel assignment problems in a CDMA LEO satellite network as a reward/cost optimization problem. The probabilistic properties of signals (channel fading as function of satellite elevation angle) and of the traffic in the footprints are used to formulate a finite‐horizon Markov decision process. The optimal policy is obtained by minimizing a cost function consisting of the weighted sum of the switching costs and blocking costs of traffics subject to a bit‐error‐rate or outage probability constraint. A backward induction algorithm is applied to derive the optimal policy. Performance of the optimal policy and the direct threshold policy are compared.
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Chang, Y., Geraniotis, E. Optimal policies for handoff and channel assignment in networks of LEO satellites using CDMA. Wireless Networks 4, 181–187 (1998). https://doi.org/10.1023/A:1019147804905
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DOI: https://doi.org/10.1023/A:1019147804905