Time Allocation Methods for Secure Wireless Powered Communication Networks

2018 ◽  
Author(s):  
Jihwan Moon ◽  
Hoon Lee ◽  
Changick Song ◽  
Inkyu Lee
Keyword(s):  
Communication Networks ◽  
Time Allocation ◽  
Allocation Methods

Robust Beamforming and Time Allocation for Full-Duplex Wireless-Powered Communication Networks

2019 ◽  
Vol 23 (9) ◽  
pp. 1665-1669
Author(s):  
Jai-Hoon Lee ◽  
Yong-Ho Cho ◽  
Dong-Jo Park ◽  
Dong Eui Chang
Keyword(s):  
Communication Networks ◽  
Time Allocation ◽  
Full Duplex ◽  
Robust Beamforming

scholarly journals Optimal Energy Management of V2B with RES and ESS for Peak Load Minimization

2018 ◽  
Vol 8 (11) ◽  
pp. 2125 ◽  
Author(s):  
Nandinkhuu Odkhuu ◽  
Ki-Beom Lee ◽  
Mohamed A. Ahmed ◽  
Young-Chon Kim
Keyword(s):  
Energy Management ◽  
Communication Networks ◽  
Time Allocation ◽  
Power Grid ◽  
Peak Load ◽  
The Real ◽  
Optimal Energy ◽  
Battery Capacity ◽  
Optimal Energy Management ◽  
Ev Charging

In order to decrease fuel consumption and greenhouse gas emissions, electric vehicles (EVs) are being widely adopted as a future transportation system. Accordingly, increasing the number of EVs will mean battery charging will have a significant impact on the power grid. In order to manage EV charging, an intelligent charging strategy is required to prevent the power grid from overloading. Therefore, we propose an optimal energy management algorithm (OEMA) to minimize peak load on a university campus consisting of an educational building with laboratories, a smart parking lot, EVs, photovoltaic (PV) panels and an energy storage system (ESS). Communication networks are used to connect all the system components to a university energy management system (UEMS). The proposed OEMA algorithm coordinates EV charging/discharging so as to reduce the peak load of the building’s power consumption by considering the real-time price (RTP). We also develop a priority determination method for the time allocation of the optimal charging algorithm. Priority is determined by arrival time, departure time, state-of-charge (SOC), battery capacity and trip distance. The performance of the proposed algorithm is evaluated in terms of charging cost and peak load under the real environment of the university engineering building.

scholarly journals Time Allocation and Load Balancing in Multi-Cell Wireless Powered Communication Networks

IEEE Access ◽  
2016 ◽  
Vol 4 ◽  
pp. 7795-7805 ◽  
Author(s):  
Chongtao Guo ◽  
Bin Liao ◽  
Lei Huang
Keyword(s):  
Load Balancing ◽  
Communication Networks ◽  
Time Allocation

scholarly journals A Sector-Based Approach To Hybrid TDMA And NOMA With Digital Beamforming For Fairness Improvement In Wireless Powered Communication Networks

2021 ◽  
Author(s):  
Deukong Yoon ◽  
Mwamba Kasongo Dahouda ◽  
Juhyun Maeng ◽  
Inwhee Joe
Keyword(s):  
Communication Networks ◽  
Time Allocation ◽  
Multiple Access ◽  
Hybrid Approach ◽  
Residual Energy ◽  
Base Station ◽  
Sensor Nodes ◽  
Radio Waves ◽  
Digital Beamforming ◽  
Iot Devices

Abstract In recent years, Wireless Powered Communication Network (WPCN) has been a promising technology that can be applied to existing low-power sensor networks and the Internet of Things (IoT). Sensor nodes or IoT devices are usually battery-powered. It is possible to use naturally collectable energy such as solar and wind without using a battery, but this is not a stable supply of energy. Therefore, the idea of operating a sensor network by separately setting a base station that continuously supplies power with radio waves has been presented. ThMris paper proposes an approach for how to combine Non-Orthogonal Multiple Access (NOMA) and Time-Division Multiple Access (TDMA) among various multiple access protocols applicable to wireless powered communication networks. There are some problems using TDMA alone. If a time slot is allocated so that the sum-throughput is maximized, the fairness of nodes is not guaranteed. To cope with these shortcomings, NOMA, which is known as a method to improve fairness, is mixed. Our approach is that cells are divided into sectors so that TDMA is used among sectors while NOMA is used within sectors. In addition, optimization of the sector by sector time allocation for maximum sum-throughput can lead to residual energy in certain sectors. Therefore, a directional digital beamforming adapted to the transmission for each sector is used for efficient energy transmission. Unlike the previous user clustering, we attempt to generalize the number of nodes for NOMA from the fixed two nodes to any nodes by introducing the sector-based system model. The simulation results show that there is a trade-off between the sum-throughput and fairness because the sum-throughput increases but the fairness decreases as the number of sectors increases. As a result, we can suggest that a balanced range lies in between three and six sectors to satisfy both the sum-throughput and fairness at the same time. Finally, it is proven that our hybrid approach improves fairness significantly with the increasing number of nodes, as compared to the original TDMA only.

scholarly journals A Fair Resource Allocation Algorithm for Data and Energy Integrated Communication Networks

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Qin Yu ◽  
Yizhe Zhao ◽  
Lanxin Zhang ◽  
Kun Yang ◽  
Supeng Leng
Keyword(s):  
Resource Allocation ◽  
Communication Networks ◽  
Time Allocation ◽  
Energy Resource ◽  
Design Sensitivity ◽  
Base Station ◽  
Resource Allocation Algorithm ◽  
Allocation Algorithm ◽  
Integrated Communication ◽  
Network Technologies

With the rapid advancement of wireless network technologies and the rapid increase in the number of mobile devices, mobile users (MUs) have an increasing high demand to access the Internet with guaranteed quality-of-service (QoS). Data and energy integrated communication networks (DEINs) are emerging as a new type of wireless networks that have the potential to simultaneously transfer wireless energy and information via the same base station (BS). This means that a physical BS is virtualized into two parts: one is transferring energy and the other is transferring information. The former is called virtual energy base station (eBS) and the latter is named as data base station (dBS). One important issue in such setting is dynamic resource allocation. Here the resource concerned includes both power and time. In this paper, we propose a fair data-and-energy resource allocation algorithm for DEINs by jointly designing the downlink energy beamforming and a power-and-time allocation scheme, with the consideration of finite capacity batteries at MUs and power sensitivity of radio frequency (RF) to direct current (DC) conversion circuits. Simulation results demonstrate that our proposed algorithm outperforms the existing algorithms in terms of fairness, beamforming design, sensitivity, and average throughput.

scholarly journals Joint Power and Time Allocation in Full-Duplex Wireless Powered Communication Networks

2016 ◽  
Vol 2016 ◽  
pp. 1-15 ◽  
Author(s):  
Yongbo Cheng ◽  
Pengcheng Fu ◽  
Yuchao Chang ◽  
Baoqing Li ◽  
Xiaobing Yuan
Keyword(s):  
Energy Consumption ◽  
Communication Networks ◽  
Time Allocation ◽  
Access Point ◽  
Optimization Techniques ◽  
Full Duplex ◽  
Proportional Fairness ◽  
Joint Power ◽  
High Data ◽  
Fair Scheduler

We consider a full-duplex wireless powered communication network (WPCN) with one hybrid access point (H-AP) and a set of distributed users, where downlink wireless energy broadcasting is employed at H-AP and at the same time, uplink wireless information transmission takes place at users in a time-division multiple access manner. We extend proportional fair scheduler to this category of network when dealing with "doubly near-far problem," where users far away from H-AP achieve low throughput but suffer from both low harvested energy and high data transmission power consumption. We jointly optimize power and time allocation for each user to achieve proportional fairness while controlling the energy consumption offset for network to a low level. By using optimization techniques, the optimal transmit power and transmission time for users are obtained via proposed algorithm. Simulation results confirm the positive effect on improving the fairness metric and reducing energy consumption offset for network.

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