Cooperative Fair Throughput Maximization in a Multi-Cluster Wireless Powered Network
Omid Rezaei, Maryam Masjedi, Mohammad Mahdi Naghsh, Saeed Gazor, and, Mohammad Mahdi Nayebi

TL;DR
This paper proposes an optimization framework for a multi-cluster wireless powered network with cooperative relaying, beamforming, and resource allocation, considering practical imperfections like CSI errors and energy harvesting non-linearity.
Contribution
It introduces a novel joint optimization approach for beamforming, power allocation, and cooperation in multi-cluster WPCNs, accounting for real-world hardware imperfections.
Findings
Cooperation improves network throughput.
Optimal cluster head placement enhances performance.
Proposed algorithms effectively handle non-convex optimization.
Abstract
In this paper, we study a multi-cluster Wireless Powered Communication Network (WPCN) where each cluster of users cooperate with a Cluster Head (CH) and a Hybrid Access Point (HAP). All users are equipped with multiple antennas. This HAP employs beamforming to deliver energy to the users in the downlink phase. The users of each cluster transmit their signals to the HAP and to their CHs in the uplink phase. In the next step the CHs first relay the signals of their cluster users and then transmit their own information to the HAP. We design the Energy Beamforming (EB) matrix, transmit covariance matrices of the users and allocate time slots to energy transfer and cooperation phases by optimizing the max-min and sum throughputs of the network. Our optimization is a non-convex problem which we break it to two non-convex sub-problems and solve them by employing the Alternating Optimization…
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Taxonomy
TopicsEnergy Harvesting in Wireless Networks · Advanced MIMO Systems Optimization · Wireless Communication Security Techniques
