Robust Resource Allocation for MIMO Wireless Powered Communication Networks Based on a Non-Linear EH Model

By Elena Boshkovska, Derrick Wing Kwan Ng, Nikola Zlatanov, Alexander Koelpin, Robert Schober. IEEE Transactions on Communications, 2016

317 citations recorded by the source corpus.

In this paper, we consider a multiple-input multiple-output wireless powered communication network, where multiple users harvest energy from a dedicated power station in order to be able to transmit their information signals to an information receiving station. Employing a practical non-linear energy harvesting (EH) model, we propose a joint time allocation and power control scheme, which takes into account the uncertainty regarding the channel state information (CSI) and provides robustness against imperfect CSI knowledge. In particular, we formulate two non-convex optimization problems for different objectives, namely system sum throughput maximization and the maximization of the minimum individual throughput across all wireless powered users. To overcome the non-convexity, we apply several transformations along with a one-dimensional search to obtain an efficient resource allocation algorithm. Numerical results reveal that a significant performance gain can be achieved when the resource allocation is designed based on the adopted non-linear EH model instead of the conventional linear EH model. Besides, unlike a non-robust baseline scheme designed for perfect CSI, the proposed resource allocation schemes are shown to be robust against imperfect CSI knowledge.

Subfields: Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/0fab95898ac87039aa8f1b0f11c9c3770e946e18

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Electrical and Electronic Engineering

1. Robert Schober
2. H. Vincent Poor
3. Rui Zhang
4. Bruno Clerckx
5. Dong In Kim
6. Khaled Ben Letaief
7. D. Wing
8. K. Ng

Citations in the corpus

• Fundamentals of Wireless Information and Power Transfer: From RF Energy Harvester Models to Signal and System Designs (2018, methodology): “The saturation nonlinear model has been widely adopted in the literature for resource allocation algorithm design, e.g. [71]– [77].”
• AoI-Minimal Trajectory Planning and Data Collection in UAV-Assisted Wireless Powered IoT Networks (2020, methodology): “It is noticed that in the simulations, the parameters associated with the nonlinear EH model are set according to [46], [47], which were obtained by measuring practical EH circuits.”