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In this paper, we mainly focus on transmission policy design for the mobile nodes in wireless cellular networks in which the mobile nodes are with the wireless energy harvest capability. In particular, we consider the problem how to find a good policy under the minimum throughput demand and maximum delay constraint of data transmission. To do so, the optimal transmission policy is selected as minimizing the corresponding packet loss probability while satisfying the basic requirements on throughput and delay. We first characterize the system model by Constrained Markov Decision Process (CMDP) and formulate the optimal problem and present the performance calculation methods by using the similar method in [5]. The key difference is that we assume mobile user can always harvest energy when moving in the coverage area of one power transmit station and the power transmit stations are working in a probability mode rather than by observing the users number in their own coverage area. Various simulation results are presented and shown that our designed optimal policy has better performances than two conventional policies. We also find that increasing the battery power storage capacity will increase the real achieved throughput and reduce the packet loss probability under certain conditions. In addition, we also find that if the minimum through put demand is larger than a value, its real achieved throughput and the packet loss probability will not clearly change as the battery capacity are large enough.

Transmission Policy Design for Mobile Nodes with Wireless Energy Harvesting in Cellular Networks