Price-Based Resource Allocation in Wireless Power Transfer-Enabled Massive MIMO Networks
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...
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| Format: | Article |
| Language: | English |
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MDPI AG
2019-07-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/19/15/3298 |
| _version_ | 1811185897025044480 |
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| author | Zhengqiang Wang Kunhao Huang Xiaona Yang Xiaoyu Wan Zifu Fan Yongjun Xu |
| author_facet | Zhengqiang Wang Kunhao Huang Xiaona Yang Xiaoyu Wan Zifu Fan Yongjun Xu |
| author_sort | Zhengqiang Wang |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-11T13:38:13Z |
| format | Article |
| id | doaj.art-fc299ab7da174281aa1b1582d3d39bdc |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T13:38:13Z |
| publishDate | 2019-07-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-fc299ab7da174281aa1b1582d3d39bdc2022-12-22T04:21:25ZengMDPI AGSensors1424-82202019-07-011915329810.3390/s19153298s19153298Price-Based Resource Allocation in Wireless Power Transfer-Enabled Massive MIMO NetworksZhengqiang Wang0Kunhao Huang1Xiaona Yang2Xiaoyu Wan3Zifu Fan4Yongjun Xu5School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, ChinaSchool of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, ChinaSchool of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, ChinaInstitute of Next Generation Network, Chongqing University of Posts and Telecommunications, Chongqing 400065, ChinaInstitute of Next Generation Network, Chongqing University of Posts and Telecommunications, Chongqing 400065, ChinaSchool of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, ChinaThis 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.https://www.mdpi.com/1424-8220/19/15/3298massive MIMOwireless power transferStackelberg gameresource allocationprice |
| spellingShingle | Zhengqiang Wang Kunhao Huang Xiaona Yang Xiaoyu Wan Zifu Fan Yongjun Xu Price-Based Resource Allocation in Wireless Power Transfer-Enabled Massive MIMO Networks Sensors massive MIMO wireless power transfer Stackelberg game resource allocation price |
| title | Price-Based Resource Allocation in Wireless Power Transfer-Enabled Massive MIMO Networks |
| title_full | Price-Based Resource Allocation in Wireless Power Transfer-Enabled Massive MIMO Networks |
| title_fullStr | Price-Based Resource Allocation in Wireless Power Transfer-Enabled Massive MIMO Networks |
| title_full_unstemmed | Price-Based Resource Allocation in Wireless Power Transfer-Enabled Massive MIMO Networks |
| title_short | Price-Based Resource Allocation in Wireless Power Transfer-Enabled Massive MIMO Networks |
| title_sort | price based resource allocation in wireless power transfer enabled massive mimo networks |
| topic | massive MIMO wireless power transfer Stackelberg game resource allocation price |
| url | https://www.mdpi.com/1424-8220/19/15/3298 |
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