The recently announced Super Wi-Fi Network proposal in United States isaiming to enable Internet access in a nation-wide area. As traditionalcable-connected power supply system becomes impractical or costly for a widerange wireless network, new infrastructure deployment for Super Wi-Fi isrequired. The fast developing Energy Harvesting (EH) techniques receive globalattentions for their potential of solving the above power supply problem. It isa critical issue, from the user's perspective, how to make efficient networkselection and access strategies. Unlike traditional wireless networks, thebattery charge state and tendency in EH based networks have to be taken intoaccount when making network selection and access, which has not been wellinvestigated. In this paper, we propose a practical and efficient framework formultiple base stations access strategy in an EH powered Super Wi-Fi network. Weconsider the access strategy from the user's perspective, who exploits downlinktransmission opportunities from one base station. To formulate the problem, weused Partially Observable Markov Decision Process (POMDP) to model users'observations on the base stations' battery situation and decisions on the basestation selection and access. Simulation results show that our methods areefficacious and significantly outperform the traditional widely used CSMAmethod.
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