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This paper tells us about the latest development in Wireless Powered Communication Networks in which one hybrid access point with constant power supply controls the wireless information transmissions to a set of various users that do not have other energy sources.
A “harvest-then-transmit” protocol is used where all the users first harvest the wireless energy which is broadcasted by the hybrid access point in the downlink and then send their own information to the hybrid access point in the uplink by time-division-multiple-access.
We saw that the sum-throughput maximization of all the users by collectively optimizing the time slots allocation for the downlink wireless power transfer versus the user’s uplink information transmissions given the total time constraint based on the user’s downlink and uplink channels as well as their average harvested energy values. By using convex optimization techniques, we get the closed form expressions for the optimal time allocations to maximize the sum-throughput.
Solution given in this paper tells about “doubly near-far” effect due to which both the downlink and uplink distanced dependent signal attenuation, where a far user from the hybrid access point, which receives less wireless energy than a nearer user in the downlink, has to transmit with more power in the uplink for reliable information transmission.
As a result, the maximum sum throughput is shown to be achieved by allocating substantially more time to the near users than the far users, thus resulting in unfair rate allocation among different users. To overcome this problem, we furthermore propose a new performance metric so called common-throughput with the additional constraint that all users should be allocated with an equal rate regardless of their distances to the hybrid access point. We present an efficient algorithm to solve the common-throughput maximization problem. emulation results demonstrate the effectiveness of the common-throughput approach for solving the new doubly near-far problem in wireless powered communication networks.
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