Price-Based Resource Allocation in Wireless Power Transfer-Enabled Massive MIMO Networks.

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ID: 19167
2019
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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.
Reference Key
wang2019pricebasedsensors Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Wang, Zhengqiang;Huang, Kunhao;Yang, Xiaona;Wan, Xiaoyu;Fan, Zifu;Xu, Yongjun;
Journal sensors
Year 2019
DOI
E3298
URL
Keywords Keywords not found

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