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PROJECT TITLE :

Resource Allocation Techniques for Wireless Powered Communication Networks With Energy Storage Constraint - 2016

ABSTRACT:

This paper studies multiuser wireless powered Communication networks, where energy constrained users charge their energy storages by scavenging energy of the radio frequency signals radiated from a hybrid access point (H-AP). The energy is then used for the users' uplink data transmission to the H-AP in time division multiple access mode. In this method, we have a tendency to aim to maximise the uplink total rate performance by jointly optimizing energy and time resource allocation for multiple users in each infinite capability and finite capability energy storage cases. 1st, when the users are equipped with the infinite capability energy storages, we have a tendency to derive the optimal downlink energy transmission policy at the H-AP. Primarily based on this result, analytical resource allocation solutions are obtained. Next, we propose the optimal energy and time allocation algorithm for the case where every user has finite capacity energy storage. Simulation results confirm that the proposed algorithms offer about thirtyp.c average add rate performance gain over typical schemes.


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Resource Allocation Optimisation Time Division Multiple Access Wireless Powered Communication Networks (Wpcn) Wireless Energy Transfer (Wet) Convex Optimization
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