Energy efficient relay networks with wireless power transfer from a multi-antenna base station

2015 ◽  
Vol 27 (4) ◽  
pp. 533-543 ◽  
Author(s):  
Xinhua Wang ◽  
Ju Liu ◽  
Chao Zhai ◽  
Shuang Ma ◽  
Qing Wang
Keyword(s):  
Energy Efficient ◽  
Wireless Power Transfer ◽  
Relay Networks ◽  
Base Station ◽  
Power Transfer ◽  
Wireless Power

scholarly journals Benefiting wireless power transfer scheme in power domain based multiple access: ergodic rate performance evaluation

2021 ◽  
Vol 10 (2) ◽  
pp. 785-792
Author(s):  
Anh-Tu Le ◽  
Minh-Sang Van Nguyen ◽  
Dinh-Thuan Do
Keyword(s):  
Power Allocation ◽  
Multiple Access ◽  
Wireless Power Transfer ◽  
Ergodic Capacity ◽  
Base Station ◽  
Power Transfer ◽  
Wireless Power ◽  
Transfer Scheme ◽  
Power Domain ◽  
Fixed Power

Power domain based multiple access scheme is introduced in this paper, namely Non-orthogonal multiple-access (NOMA). We deploy a wireless network using NOMA together with a wireless power transfer (WPT) scheme for dedicated user over Nakagami-$m$ fading channel. When combined, these promising techniques (NOMA and WPT) improve the system performance in term of ergodic performance at reasonable coefficient of harvested power. However, fixed power allocation factors for each NOMA user can be adjusted at the base station and it further provide performance improvement. We design a new signal frame to deploy a NOMA scheme in WPT which adopts a linear energy harvesting model. The ergodic capacity in such a NOMA network and power allocation factors can be updated frequently in order to achieve a fair distribution among NOMA users. The exact expressions of ergodic capacity for each user is derived. The simulation results show that an agreement between analytic performance and Monte-Carlo simulation can be achieved. 

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

Sensors ◽  
2019 ◽  
Vol 19 (15) ◽  
pp. 3298 ◽  
Author(s):  
Zhengqiang Wang ◽  
Kunhao Huang ◽  
Xiaona Yang ◽  
Xiaoyu Wan ◽  
Zifu Fan ◽  
...  
Keyword(s):  
Resource Allocation ◽  
Convex Optimization ◽  
Optimization Problem ◽  
Wireless Power Transfer ◽  
Base Station ◽  
Power Transfer ◽  
Wireless Power ◽  
Convex Optimization Problem ◽  
Harvesting Time ◽  
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 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.

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