Optimal Online Transmission Policy for Energy-Constrained Wireless-Powered Communication Networks
arXiv:1902.09071 · doi:10.1109/TWC.2018.2890030
Abstract
This work considers the design of online transmission policy in a wireless-powered communication system with a given energy budget. The system design objective is to maximize the long-term throughput of the system exploiting the energy storage capability at the wireless-powered node. We formulate the design problem as a constrained Markov decision process (CMDP) problem and obtain the optimal policy of transmit power and time allocation in each fading block via the Lagrangian approach. To investigate the system performance in different scenarios, numerical simulations are conducted with various system parameters. Our simulation results show that the optimal policy significantly outperforms a myopic policy which only maximizes the throughput in the current fading block. Moreover, the optimal allocation of transmit power and time is shown to be insensitive to the change of modulation and coding schemes, which facilitates its practical implementation.
arXiv comment7 pages, accepted by ICC 2019. An extended version of this paper is accepted by IEEE TWC
References in corpus (5)
- Harvest-Then-Cooperate: Wireless-Powered Cooperative Communications
- Wireless Powered Communications: Performance Analysis and Optimization
- Wireless Power Meets Energy Harvesting: A Joint Energy Allocation Approach in OFDM-based System
- Optimization of Energy-Constrained Wireless Powered Communication Networks with Heterogeneous Nodes
- On Optimal Policies in Full-Duplex Wireless Powered Communication Networks