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.

scholarly journals Differential Evolution in Waveform Design for Wireless Power Transfer

Telecom ◽  
2020 ◽  
Vol 1 (2) ◽  
pp. 96-113
Author(s):  
Pavlos Doanis ◽  
Achilles Boursianis ◽  
Julien Huillery ◽  
Arnaud Bréard ◽  
Yvan Duroc ◽  
...  
Keyword(s):  
Power Efficiency ◽  
Optimization Problem ◽  
Nonlinear Behavior ◽  
Wireless Power Transfer ◽  
Waveform Design ◽  
Optimal Solutions ◽  
Power Transfer ◽  
Wireless Power ◽  
Single Input Single Output ◽  
Single Output

The technique of transmitting multi-tone signals in a radiative Wireless Power Transfer (WPT) system can significantly increase its end-to-end power efficiency. The optimization problem in this system is to tune the transmission according to the receiver rectenna’s nonlinear behavior and the Channel State Information (CSI). This is a non-convex problem that has been previously addressed by Sequential Convex Programming (SCP) algorithms. Nonetheless, SCP algorithms do not always attain globally optimal solutions. To this end, in this paper, we evaluate a set of Evolutionary Algorithms (EAs) with several characteristics. The performance of the optimized multi-tone transmission signals in a WPT system is assessed by means of numerical simulations, utilizing a simplified Single Input Single Output (SISO) model. From the model evaluation, we can deduce that EAs can be successfully applied to the waveform design optimization problem. Moreover, from the presented results, we can derive that EAs can obtain the optimal solutions in the tested cases.

Delay-Aware Resource Allocation for 5G Wireless Networks With Wireless Power Transfer

2018 ◽  
Vol 67 (7) ◽  
pp. 5841-5855 ◽  
Author(s):  
Mahnaz Sinaie ◽  
Pin-Hsun Lin ◽  
Alessio Zappone ◽  
Paeiz Azmi ◽  
Eduard A. Jorswieck
Keyword(s):  
Resource Allocation ◽  
Wireless Networks ◽  
Wireless Power Transfer ◽  
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 Interference Alignment Inspired Opportunistic Communications in Multi-Cluster MIMO Networks with Wireless Power Transfer

Information ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 335
Author(s):  
Yuan Ren ◽  
Xuewei Zhang ◽  
Meruyert Makhanbet
Keyword(s):  
High Efficiency ◽  
Wireless Power Transfer ◽  
Interference Alignment ◽  
Power Transfer ◽  
Wireless Power ◽  
Transceiver Design ◽  
Mimo Networks ◽  
Radio Frequency Signals ◽  
Wireless Environments ◽  
Effective Signal

In this work, we jointly investigate the issues of node scheduling and transceiver design in a sensor network with multiple clusters, which is endowed with simultaneous wireless information and power transfer. In each cluster of the observed network, S out of N nodes are picked, each of which is capable of performing information transmission (IT) via uplink communications. As for the remaining idle nodes, they can harvest energy from radio-frequency signals around their ambient wireless environments. Aiming to boost the intra-cluster performance, we advocate an interference alignment enabled opportunistic communication (IAOC) scheme. This scheme can yield better tradeoffs between IT and wireless power transfer (WPT). With the aid of IAOC scheme, the signal projected onto the direction of the receive combining vector is adopted as the accurate measurement of effective signal strength, and then the high-efficiency scheduling metric for each node can be accordingly obtained. Additionally, an algorithm, based on alternative optimization and dedicated for transceiver design, is also put forward, which is able to promote the achievable sum rate performance as well as the total harvested power. Our simulation results verify the effectiveness of the designed IAOC scheme in terms of improving the performance of IT and WPT in multi-cluster scenarios.

Resource Allocation in Multi-Cell Massive MIMO System with Time-Splitting Wireless Power Transfer

2018 ◽  
Vol E101.B (11) ◽  
pp. 2331-2339
Author(s):  
Jia-Cheng ZHU ◽  
Dong-Hua CHEN ◽  
Yu-Cheng HE ◽  
Lin ZHOU ◽  
Jian-Jun MU
Keyword(s):  
Resource Allocation ◽  
Massive Mimo ◽  
Mimo System ◽  
Wireless Power Transfer ◽  
Power Transfer ◽  
Wireless Power ◽  
Time Splitting
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