Abstract:
In this paper, we study the common throughput optimization problem with finite energy capacity in a wireless powered communication network (WPCN). In WPCNs, a hybrid ener...Show MoreMetadata
Abstract:
In this paper, we study the common throughput optimization problem with finite energy capacity in a wireless powered communication network (WPCN). In WPCNs, a hybrid energy and information access point broadcast an energy signal to wireless nodes on the downlink. Wireless nodes which are near to the energy provider harvests more energy in comparison to far users and send information signals in the uplink allocated time slots by utilizing the energy harvested in the downlink phase. In this paper, we jointly optimize the time and power allocation to maximize the minimum throughput of a wireless node. For this, we propose a sequential parametric convex approximation (SPCA) based iterative algorithm to find the feasible solution for near-optimal time and power allocation in the non-convex optimization problem. The proposed solution maximizes the minimum throughput by allocating more time and power to far wireless nodes and thus, increase the average throughput of the network. Through simulations and results, it is verified that the proposed solution performs better in comparison to other solutions.
Published in: 2021 International Conference on Information and Communication Technology Convergence (ICTC)
Date of Conference: 20-22 October 2021
Date Added to IEEE Xplore: 07 December 2021
ISBN Information:
Print on Demand(PoD) ISSN: 2162-1233