Optimal strategies for admitting voice and data traffic in networks of LEO satellites using CDMA
Wireless Networks - Special issue on performance evaluation methods for wireless networks
Markov Decision Processes: Discrete Stochastic Dynamic Programming
Markov Decision Processes: Discrete Stochastic Dynamic Programming
Optimal scheduling of soft handoffs in DS/CDMA communication systems
INFOCOM '95 Proceedings of the Fourteenth Annual Joint Conference of the IEEE Computer and Communication Societies (Vol. 1)-Volume - Volume 1
Stochastic control of handoffs in cellular networks
IEEE Journal on Selected Areas in Communications
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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.