Abstract
This paper considers the price-based resource allocation problem for wireless power transfer (WPT)-enabled massive multiple-input multiple-output (MIMO) networks. The power beacon (PB) can transmit energy to the sensor nodes (SNs) by pricing their harvested energy. Then, the SNs transmit their data to the base station (BS) with large scale antennas by the harvesting energy. The interaction between PB and SNs is modeled as a Stackelberg game. The revenue maximization problem of the PB is transformed into the non-convex optimization problem of the transmit power and the harvesting time of the PB by backward induction. Based on the equivalent convex optimization problem, an optimal resource allocation algorithm is proposed to find the optimal price, energy harvesting time, and power allocation for the PB to maximize its revenue. Finally, simulation results show the effectiveness of the proposed algorithm.
Highlights
Due to the increasing demand for data traffic, massive multiple-input multiple-output (MIMO)technology has attracted widespread attention because it can improve spectrum efficiency (SE) and energy efficiency (EE) in mobile communications
To gain the insight of the impact of the energy harvesting time on the system performance, we show the performance of the equal time resource allocation algorithm (ETRAA) which sets the energy harvesting time and the data transmit time
We investigate price-based resource allocation in wireless power transfer-enabled massive MIMO sensor networks by a Stackelberg game
Summary
Due to the increasing demand for data traffic, massive multiple-input multiple-output (MIMO). In [13], an energy efficient resource allocation algorithm was proposed to maximize the EE of the wireless power transfer-enabled. In [22], Liu et al studied the pricing problem for operating the antennas in the massive-MIMO enabled wireless virtualized networks by Stackelberg game. Studied the Stackelberg game between a BS and a multi-antenna PB for wireless energy harvesting in a multiple sensor nodes (SNs) scenario. In [24], Chu et al investigated a wireless powered communication networks (WPCN)-assisted multi-antenna secure multicasting system, in which a multicast service provider guaranteed secure communication by utilizing the harvested energy from the PB. In [25], the price-based resource allocation algorithm was investigated for energy harvesting massive MIMO system by a Stackelberg game. The algorithm proposed in [25] cannot be used for the PB with massive MIMO
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
