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Access Strategy in Super WiFi Network Powered by Solar Energy Harvesting: A POMDP Method

Tingwu Wang, Jian Wang, Chunxiao Jiang, Jingjing Wang, Yong Ren
2016 2016 IEEE 83rd Vehicular Technology Conference (VTC Spring)  
In this paper, we propose a practical and efficient framework for multiple base stations access strategy in an EH powered Super Wi-Fi network.  ...  The recently announced Super Wi-Fi Network proposal in United States is aiming to enable Internet access in a nation-wide area.  ...  CONCLUSION In this paper, we proposed a powerful POMDP algorithm to solve the access problem in EH powered network, which is promising and instructive in building a national range Super Wi-Fi network.  ... 
doi:10.1109/vtcspring.2016.7504116 dblp:conf/vtc/WangWJWR16 fatcat:vsc4v3j4mjdntc7uevhhcataeu

Network Association Strategies for an Energy Harvesting Aided Super-WiFi Network Relying on Measured Solar Activity

Jingjing Wang, Chunxiao Jiang, Zhu Han, Yong Ren, Lajos Hanzo
2016 IEEE Journal on Selected Areas in Communications  
Index Terms-Super WiFi network, access point selection algorithm, energy harvesting model, MDP, POMDP.  ...  Relying on the rapidly developing energy harvesting techniques, we focus our attention on the sophisticated access point selection strategies conceived for the energy harvesting aided super-WiFi network  ...  Inspired by the above-mentioned open problems, in this paper, we conceive sophisticated AP selection strategies for an energy harvesting aided super-WiFi network.  ... 
doi:10.1109/jsac.2016.2621361 fatcat:yo6apvka3vhmjnegrdyqex5uiy

Thirty Years of Machine Learning: The Road to Pareto-Optimal Wireless Networks [article]

Jingjing Wang and Chunxiao Jiang and Haijun Zhang and Yong Ren and Kwang-Cheng Chen and Lajos Hanzo
2020 arXiv   pre-print
Future wireless networks have a substantial potential in terms of supporting a broad range of complex compelling applications both in military and civilian fields, where the users are able to enjoy high-rate  ...  Hence, in this article, we review the thirty-year history of ML by elaborating on supervised learning, unsupervised learning, reinforcement learning and deep learning.  ...  Relying on the rapidly developing energy harvesting techniques, in [292] , a POMDP-based access point selection strategies was conceived for an energy harvesting aided super-WiFi network.  ... 
arXiv:1902.01946v2 fatcat:7bveg6rmjfga5mftdkr3mst2qa

2021 Index IEEE Internet of Things Journal Vol. 8

2021 IEEE Internet of Things Journal  
-that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021.  ...  The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination.  ...  Ahmadian, A., +, JIoT April 1, 2021 5866-5880 Neural-Network-Based Power Control Prediction for Solar-Powered Energy Harvesting Communications.  ... 
doi:10.1109/jiot.2022.3141840 fatcat:42a2qzt4jnbwxihxp6rzosha3y

Resource-aware plan recognition in instrumented environments [article]

Michael Schneider, Universität Des Saarlandes, Universität Des Saarlandes
2010
In instrumented environments such observations are made by physical sensors.  ...  Secondly, a POMDP-based utility model for observation sources is presented which can be used with generic utility-based sensor selection algorithms.  ...  Energy harvesting is the process of deriving electrical energy from ambient energy that is naturally present in the environment like solar, thermal, kinetic, or electromagnetic energy.  ... 
doi:10.22028/d291-25968 fatcat:vldlxf7a4nbwfnqj6spbrjvz5y